| Configuration: ichorCNA tumour fraction with logistic regression (ichorCNA-TF, Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction 0 to 0.03 vs healthy (Wang et al. 2026)
Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.577 accuracy fraction · higher Uncertainty: 95% CI 0.570965637182417 to 0.583467233499126. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceichorCNA-TF logistic regression, ichorCNA tumour fraction 0 to 0.03 ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-0-3pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_lr, row 2 (feat 'TF', ichorcna_strat '[0, 0.03]', .metric 'test_acc'), column D 'mean' |
|---|
| Configuration: ichorCNA tumour fraction with logistic regression (ichorCNA-TF, Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction 0 to 0.03 vs healthy (Wang et al. 2026)
Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.68 auprc unitless · higher Uncertainty: 95% CI 0.673138229330304 to 0.686349543827658. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceichorCNA-TF logistic regression, ichorCNA tumour fraction 0 to 0.03 ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-0-3pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_lr, row 6 (feat 'TF', ichorcna_strat '[0, 0.03]', .metric 'test_auprc'), column D 'mean' |
|---|
| Configuration: ichorCNA tumour fraction with logistic regression (ichorCNA-TF, Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction 0 to 0.03 vs healthy (Wang et al. 2026)
Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.603 auroc unitless · higher Uncertainty: 95% CI 0.59498776753148 to 0.61061019851054. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceichorCNA-TF logistic regression, ichorCNA tumour fraction 0 to 0.03 ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-0-3pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_lr, row 7 (feat 'TF', ichorcna_strat '[0, 0.03]', .metric 'test_auroc'), column D 'mean' |
|---|
| Configuration: ichorCNA tumour fraction with logistic regression (ichorCNA-TF, Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction 0 to 0.03 vs healthy (Wang et al. 2026)
Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.631 f1-score fraction · higher Uncertainty: 95% CI 0.624472218706974 to 0.638349991217691. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceichorCNA-TF logistic regression, ichorCNA tumour fraction 0 to 0.03 ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-0-3pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_lr, row 8 (feat 'TF', ichorcna_strat '[0, 0.03]', .metric 'test_f1'), column D 'mean' |
|---|
| Configuration: ichorCNA tumour fraction with logistic regression (ichorCNA-TF, Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction 0 to 0.03 vs healthy (Wang et al. 2026)
Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.69 precision fraction · higher Uncertainty: 95% CI 0.682644786177829 to 0.697670464141102. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceichorCNA-TF logistic regression, ichorCNA tumour fraction 0 to 0.03 ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-0-3pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_lr, row 12 (feat 'TF', ichorcna_strat '[0, 0.03]', .metric 'test_ppv'), column D 'mean' |
|---|
| Configuration: ichorCNA tumour fraction with logistic regression (ichorCNA-TF, Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction 0 to 0.03 vs healthy (Wang et al. 2026)
Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.0577 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.0512774353857069 to 0.0646802101303734. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceichorCNA-TF logistic regression, ichorCNA tumour fraction 0 to 0.03 ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-0-3pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_lr, row 13 (feat 'TF', ichorcna_strat '[0, 0.03]', .metric 'test_sen_95spe'), column D 'mean' |
|---|
| Configuration: ichorCNA tumour fraction with logistic regression (ichorCNA-TF, Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction 0 to 0.03 vs healthy (Wang et al. 2026)
Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.022 sensitivity-at-98-percent-specificity fraction · higher Uncertainty: 95% CI 0.0143570292011298 to 0.0302597450041764. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceichorCNA-TF logistic regression, ichorCNA tumour fraction 0 to 0.03 ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-0-3pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_lr, row 14 (feat 'TF', ichorcna_strat '[0, 0.03]', .metric 'test_sen_98spe'), column D 'mean' |
|---|
| Configuration: ichorCNA tumour fraction with logistic regression (ichorCNA-TF, Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction 0 to 0.03 vs healthy (Wang et al. 2026)
Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.00446 sensitivity-at-99-percent-specificity fraction · higher Uncertainty: 95% CI 0.00111630321910695 to 0.00855539598159421. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceichorCNA-TF logistic regression, ichorCNA tumour fraction 0 to 0.03 ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-0-3pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_lr, row 15 (feat 'TF', ichorcna_strat '[0, 0.03]', .metric 'test_sen_99spe'), column D 'mean' |
|---|
| Configuration: ichorCNA tumour fraction with logistic regression (ichorCNA-TF, Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction 0 to 0.03 vs healthy (Wang et al. 2026)
Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.583 recall fraction · higher Uncertainty: 95% CI 0.574486770777406 to 0.592487671426348. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceichorCNA-TF logistic regression, ichorCNA tumour fraction 0 to 0.03 ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-0-3pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_lr, row 16 (feat 'TF', ichorcna_strat '[0, 0.03]', .metric 'test_sensitivity'), column D 'mean' |
|---|
| Configuration: ichorCNA tumour fraction with logistic regression (ichorCNA-TF, Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction 0 to 0.03 vs healthy (Wang et al. 2026)
Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.568 specificity fraction · higher Uncertainty: 95% CI 0.555587925091322 to 0.579672204378448. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceichorCNA-TF logistic regression, ichorCNA tumour fraction 0 to 0.03 ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-0-3pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_lr, row 17 (feat 'TF', ichorcna_strat '[0, 0.03]', .metric 'test_specificity'), column D 'mean' |
|---|
| Configuration: ichorCNA tumour fraction with logistic regression (ichorCNA-TF, Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction above 0.03 to 0.1 vs healthy (Wang et al. 2026)
Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.906 accuracy fraction · higher Uncertainty: 95% CI 0.901168608037274 to 0.911965346534653. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceichorCNA-TF logistic regression, ichorCNA tumour fraction above 0.03 to 0.1 ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-3-10pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_lr, row 18 (feat 'TF', ichorcna_strat '(0.03, 0.1]', .metric 'test_acc'), column D 'mean' |
|---|
| Configuration: ichorCNA tumour fraction with logistic regression (ichorCNA-TF, Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction above 0.03 to 0.1 vs healthy (Wang et al. 2026)
Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.857 accuracy fraction · higher Uncertainty: 95% CI 0.840986286415509 to 0.874067454143898. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceichorCNA-TF logistic regression, ichorCNA tumour fraction above 0.03 to 0.1 ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-3-10pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_lr, row 19 (feat 'TF', ichorcna_strat '(0.03, 0.1]', .metric 'test_acc_95spe'), column D 'mean' |
|---|
| Configuration: ichorCNA tumour fraction with logistic regression (ichorCNA-TF, Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction above 0.03 to 0.1 vs healthy (Wang et al. 2026)
Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.783 accuracy fraction · higher Uncertainty: 95% CI 0.761618480803836 to 0.802350492447195. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceichorCNA-TF logistic regression, ichorCNA tumour fraction above 0.03 to 0.1 ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-3-10pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_lr, row 20 (feat 'TF', ichorcna_strat '(0.03, 0.1]', .metric 'test_acc_98spe'), column D 'mean' |
|---|
| Configuration: ichorCNA tumour fraction with logistic regression (ichorCNA-TF, Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction above 0.03 to 0.1 vs healthy (Wang et al. 2026)
Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.775 accuracy fraction · higher Uncertainty: 95% CI 0.745475789378343 to 0.801318966255286. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceichorCNA-TF logistic regression, ichorCNA tumour fraction above 0.03 to 0.1 ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-3-10pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_lr, row 21 (feat 'TF', ichorcna_strat '(0.03, 0.1]', .metric 'test_acc_99spe'), column D 'mean' |
|---|
| Configuration: ichorCNA tumour fraction with logistic regression (ichorCNA-TF, Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction above 0.03 to 0.1 vs healthy (Wang et al. 2026)
Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.968 auprc unitless · higher Uncertainty: 95% CI 0.964339913255639 to 0.97206783946288. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceichorCNA-TF logistic regression, ichorCNA tumour fraction above 0.03 to 0.1 ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-3-10pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_lr, row 22 (feat 'TF', ichorcna_strat '(0.03, 0.1]', .metric 'test_auprc'), column D 'mean' |
|---|
| Configuration: ichorCNA tumour fraction with logistic regression (ichorCNA-TF, Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction above 0.03 to 0.1 vs healthy (Wang et al. 2026)
Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.983 auroc unitless · higher Uncertainty: 95% CI 0.981274508337164 to 0.985414433343808. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceichorCNA-TF logistic regression, ichorCNA tumour fraction above 0.03 to 0.1 ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-3-10pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_lr, row 23 (feat 'TF', ichorcna_strat '(0.03, 0.1]', .metric 'test_auroc'), column D 'mean' |
|---|
| Configuration: ichorCNA tumour fraction with logistic regression (ichorCNA-TF, Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction above 0.03 to 0.1 vs healthy (Wang et al. 2026)
Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.86 f1-score fraction · higher Uncertainty: 95% CI 0.851397137423632 to 0.869246999831996. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceichorCNA-TF logistic regression, ichorCNA tumour fraction above 0.03 to 0.1 ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-3-10pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_lr, row 24 (feat 'TF', ichorcna_strat '(0.03, 0.1]', .metric 'test_f1'), column D 'mean' |
|---|
| Configuration: ichorCNA tumour fraction with logistic regression (ichorCNA-TF, Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction above 0.03 to 0.1 vs healthy (Wang et al. 2026)
Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.853 f1-score fraction · higher Uncertainty: 95% CI 0.833488935818593 to 0.872241115639961. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceichorCNA-TF logistic regression, ichorCNA tumour fraction above 0.03 to 0.1 ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-3-10pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_lr, row 25 (feat 'TF', ichorcna_strat '(0.03, 0.1]', .metric 'test_f1_95spe'), column D 'mean' |
|---|
| Configuration: ichorCNA tumour fraction with logistic regression (ichorCNA-TF, Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction above 0.03 to 0.1 vs healthy (Wang et al. 2026)
Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.724 f1-score fraction · higher Uncertainty: 95% CI 0.669740331869782 to 0.763097868284926. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceichorCNA-TF logistic regression, ichorCNA tumour fraction above 0.03 to 0.1 ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-3-10pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_lr, row 26 (feat 'TF', ichorcna_strat '(0.03, 0.1]', .metric 'test_f1_98spe'), column D 'mean' |
|---|
| Configuration: ichorCNA tumour fraction with logistic regression (ichorCNA-TF, Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction above 0.03 to 0.1 vs healthy (Wang et al. 2026)
Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.693 f1-score fraction · higher Uncertainty: 95% CI 0.626863941912179 to 0.745643308693344. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceichorCNA-TF logistic regression, ichorCNA tumour fraction above 0.03 to 0.1 ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-3-10pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_lr, row 27 (feat 'TF', ichorcna_strat '(0.03, 0.1]', .metric 'test_f1_99spe'), column D 'mean' |
|---|
| Configuration: ichorCNA tumour fraction with logistic regression (ichorCNA-TF, Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction above 0.03 to 0.1 vs healthy (Wang et al. 2026)
Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.922 precision fraction · higher Uncertainty: 95% CI 0.911237722454427 to 0.932076508057875. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceichorCNA-TF logistic regression, ichorCNA tumour fraction above 0.03 to 0.1 ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-3-10pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_lr, row 28 (feat 'TF', ichorcna_strat '(0.03, 0.1]', .metric 'test_ppv'), column D 'mean' |
|---|
| Configuration: ichorCNA tumour fraction with logistic regression (ichorCNA-TF, Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction above 0.03 to 0.1 vs healthy (Wang et al. 2026)
Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.796 sensitivity-at-95-percent-specificity fraction · higher Uncertainty: 95% CI 0.764480551727827 to 0.826633614574527. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceichorCNA-TF logistic regression, ichorCNA tumour fraction above 0.03 to 0.1 ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-3-10pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_lr, row 29 (feat 'TF', ichorcna_strat '(0.03, 0.1]', .metric 'test_sen_95spe'), column D 'mean' |
|---|
| Configuration: ichorCNA tumour fraction with logistic regression (ichorCNA-TF, Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction above 0.03 to 0.1 vs healthy (Wang et al. 2026)
Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.588 sensitivity-at-98-percent-specificity fraction · higher Uncertainty: 95% CI 0.544390090427152 to 0.623529867685634. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceichorCNA-TF logistic regression, ichorCNA tumour fraction above 0.03 to 0.1 ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-3-10pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_lr, row 30 (feat 'TF', ichorcna_strat '(0.03, 0.1]', .metric 'test_sen_98spe'), column D 'mean' |
|---|
| Configuration: ichorCNA tumour fraction with logistic regression (ichorCNA-TF, Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction above 0.03 to 0.1 vs healthy (Wang et al. 2026)
Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.561 sensitivity-at-99-percent-specificity fraction · higher Uncertainty: 95% CI 0.507309677595552 to 0.611341899274175. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceichorCNA-TF logistic regression, ichorCNA tumour fraction above 0.03 to 0.1 ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-3-10pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_lr, row 31 (feat 'TF', ichorcna_strat '(0.03, 0.1]', .metric 'test_sen_99spe'), column D 'mean' |
|---|
| Configuration: ichorCNA tumour fraction with logistic regression (ichorCNA-TF, Wang et al. 2026) | Protocol: UNITE cross-validation, cancers with ichorCNA tumour fraction above 0.03 to 0.1 vs healthy (Wang et al. 2026)
Dataset: UNITE cross-validation set: shallow WGS plasma cfDNA, 458 healthy and 1,232 cancer samples | 0.808 recall fraction · higher Uncertainty: 95% CI 0.793956419471719 to 0.82135613845291. Interval over the 50 outer test folds as printed in columns G and H Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceichorCNA-TF logistic regression, ichorCNA tumour fraction above 0.03 to 0.1 ctdnafrag-20261009-protocol-wang2026-unite-cv-tf-3-10pct Aggregation: Not reported A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing; Wang et al. 2026, Data file S2 (model scores and summary statistics) · Data file S2 sheet STATS_lr, row 32 (feat 'TF', ichorcna_strat '(0.03, 0.1]', .metric 'test_sensitivity'), column D 'mean' |
|---|