rewirebio.iobenchmarks
Configuration

MaxEntScan (Riepe et al. 2021)

Configuration of MaxEntScan: Alamut Visual 2.13; Classification cutoff per data set.

3 evaluations · 33 results

Overview

An explanatory profile has not yet been reviewed for this record.

Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.

Evaluations and results

3 evaluations · 33 results. Different protocols are not a single leaderboard.

Sorted by Accuracy (higher is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.

All 33 result rows with coverage, uncertainty and sources
Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: MaxEntScan (Riepe et al. 2021)Protocol: ABCA4 deep-intronic variants: classification against mini- or midigene splicing results (Riepe et al. Table 4)
Dataset: ABCA4 deep-intronic variants (Riepe et al. benchmark set)
64% Accuracy
percent · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MaxEntScan on ABCA4 deep-intronic variants

splicing-follow-up-20261009-protocol-riepe2021-abca4-di

Aggregation: Not reported

Benchmarking deep learning splice prediction tools using functional splice assays · Table 4 row 'MaxEntScan', column 'Accuracy (%)'
Configuration: MaxEntScan (Riepe et al. 2021)Protocol: ABCA4 deep-intronic variants: classification against mini- or midigene splicing results (Riepe et al. Table 4)
Dataset: ABCA4 deep-intronic variants (Riepe et al. benchmark set)
8 False negatives
count · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MaxEntScan on ABCA4 deep-intronic variants

splicing-follow-up-20261009-protocol-riepe2021-abca4-di

Aggregation: Not reported

Benchmarking deep learning splice prediction tools using functional splice assays · Table 4 row 'MaxEntScan', column 'FN'
Configuration: MaxEntScan (Riepe et al. 2021)Protocol: ABCA4 deep-intronic variants: classification against mini- or midigene splicing results (Riepe et al. Table 4)
Dataset: ABCA4 deep-intronic variants (Riepe et al. benchmark set)
21 False positives
count · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MaxEntScan on ABCA4 deep-intronic variants

splicing-follow-up-20261009-protocol-riepe2021-abca4-di

Aggregation: Not reported

Benchmarking deep learning splice prediction tools using functional splice assays · Table 4 row 'MaxEntScan', column 'FP'
Configuration: MaxEntScan (Riepe et al. 2021)Protocol: ABCA4 deep-intronic variants: classification against mini- or midigene splicing results (Riepe et al. Table 4)
Dataset: ABCA4 deep-intronic variants (Riepe et al. benchmark set)
0.24 MCC
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MaxEntScan on ABCA4 deep-intronic variants

splicing-follow-up-20261009-protocol-riepe2021-abca4-di

Aggregation: Not reported

Benchmarking deep learning splice prediction tools using functional splice assays · Table 4 row 'MaxEntScan', column 'MCC'
Configuration: MaxEntScan (Riepe et al. 2021)Protocol: ABCA4 deep-intronic variants: classification against mini- or midigene splicing results (Riepe et al. Table 4)
Dataset: ABCA4 deep-intronic variants (Riepe et al. benchmark set)
0 Count (variants without a score)
count · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MaxEntScan on ABCA4 deep-intronic variants

splicing-follow-up-20261009-protocol-riepe2021-abca4-di

Aggregation: Not reported

Benchmarking deep learning splice prediction tools using functional splice assays · Table 4 row 'MaxEntScan', column 'Missing values'
Configuration: MaxEntScan (Riepe et al. 2021)Protocol: ABCA4 deep-intronic variants: classification against mini- or midigene splicing results (Riepe et al. Table 4)
Dataset: ABCA4 deep-intronic variants (Riepe et al. benchmark set)
83% Negative predictive value
percent · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MaxEntScan on ABCA4 deep-intronic variants

splicing-follow-up-20261009-protocol-riepe2021-abca4-di

Aggregation: Not reported

Benchmarking deep learning splice prediction tools using functional splice assays · Table 4 row 'MaxEntScan', column 'NPV (%)'
Configuration: MaxEntScan (Riepe et al. 2021)Protocol: ABCA4 deep-intronic variants: classification against mini- or midigene splicing results (Riepe et al. Table 4)
Dataset: ABCA4 deep-intronic variants (Riepe et al. benchmark set)
38% Precision
percent · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MaxEntScan on ABCA4 deep-intronic variants

splicing-follow-up-20261009-protocol-riepe2021-abca4-di

Aggregation: Not reported

Benchmarking deep learning splice prediction tools using functional splice assays · Table 4 row 'MaxEntScan', column 'PPV (%)'
Configuration: MaxEntScan (Riepe et al. 2021)Protocol: ABCA4 deep-intronic variants: classification against mini- or midigene splicing results (Riepe et al. Table 4)
Dataset: ABCA4 deep-intronic variants (Riepe et al. benchmark set)
62% Recall
percent · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MaxEntScan on ABCA4 deep-intronic variants

splicing-follow-up-20261009-protocol-riepe2021-abca4-di

Aggregation: Not reported

Benchmarking deep learning splice prediction tools using functional splice assays · Table 4 row 'MaxEntScan', column 'Sensitivity (%)'
Configuration: MaxEntScan (Riepe et al. 2021)Protocol: ABCA4 deep-intronic variants: classification against mini- or midigene splicing results (Riepe et al. Table 4)
Dataset: ABCA4 deep-intronic variants (Riepe et al. benchmark set)
65% Specificity
percent · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MaxEntScan on ABCA4 deep-intronic variants

splicing-follow-up-20261009-protocol-riepe2021-abca4-di

Aggregation: Not reported

Benchmarking deep learning splice prediction tools using functional splice assays · Table 4 row 'MaxEntScan', column 'Specificity (%)'
Configuration: MaxEntScan (Riepe et al. 2021)Protocol: ABCA4 deep-intronic variants: classification against mini- or midigene splicing results (Riepe et al. Table 4)
Dataset: ABCA4 deep-intronic variants (Riepe et al. benchmark set)
39 True negatives
count · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MaxEntScan on ABCA4 deep-intronic variants

splicing-follow-up-20261009-protocol-riepe2021-abca4-di

Aggregation: Not reported

Benchmarking deep learning splice prediction tools using functional splice assays · Table 4 row 'MaxEntScan', column 'TN'
Configuration: MaxEntScan (Riepe et al. 2021)Protocol: ABCA4 deep-intronic variants: classification against mini- or midigene splicing results (Riepe et al. Table 4)
Dataset: ABCA4 deep-intronic variants (Riepe et al. benchmark set)
13 True positives
count · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MaxEntScan on ABCA4 deep-intronic variants

splicing-follow-up-20261009-protocol-riepe2021-abca4-di

Aggregation: Not reported

Benchmarking deep learning splice prediction tools using functional splice assays · Table 4 row 'MaxEntScan', column 'TP'
Configuration: MaxEntScan (Riepe et al. 2021)Protocol: ABCA4 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 3)
Dataset: ABCA4 noncanonical splice-site variants (Riepe et al. benchmark set)
63% Accuracy
percent · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MaxEntScan on ABCA4 noncanonical splice-site variants

splicing-follow-up-20261009-protocol-riepe2021-abca4-ncss

Aggregation: Not reported

Benchmarking deep learning splice prediction tools using functional splice assays · Table 3 row 'MaxEntScan', column 'Accuracy (%)'
Configuration: MaxEntScan (Riepe et al. 2021)Protocol: ABCA4 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 3)
Dataset: ABCA4 noncanonical splice-site variants (Riepe et al. benchmark set)
24 False negatives
count · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MaxEntScan on ABCA4 noncanonical splice-site variants

splicing-follow-up-20261009-protocol-riepe2021-abca4-ncss

Aggregation: Not reported

Benchmarking deep learning splice prediction tools using functional splice assays · Table 3 row 'MaxEntScan', column 'FN'
Configuration: MaxEntScan (Riepe et al. 2021)Protocol: ABCA4 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 3)
Dataset: ABCA4 noncanonical splice-site variants (Riepe et al. benchmark set)
2 False positives
count · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MaxEntScan on ABCA4 noncanonical splice-site variants

splicing-follow-up-20261009-protocol-riepe2021-abca4-ncss

Aggregation: Not reported

Benchmarking deep learning splice prediction tools using functional splice assays · Table 3 row 'MaxEntScan', column 'FP'
Configuration: MaxEntScan (Riepe et al. 2021)Protocol: ABCA4 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 3)
Dataset: ABCA4 noncanonical splice-site variants (Riepe et al. benchmark set)
0.21 MCC
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MaxEntScan on ABCA4 noncanonical splice-site variants

splicing-follow-up-20261009-protocol-riepe2021-abca4-ncss

Aggregation: Not reported

Benchmarking deep learning splice prediction tools using functional splice assays · Table 3 row 'MaxEntScan', column 'MCC'
Configuration: MaxEntScan (Riepe et al. 2021)Protocol: ABCA4 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 3)
Dataset: ABCA4 noncanonical splice-site variants (Riepe et al. benchmark set)
0 Count (variants without a score)
count · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MaxEntScan on ABCA4 noncanonical splice-site variants

splicing-follow-up-20261009-protocol-riepe2021-abca4-ncss

Aggregation: Not reported

Benchmarking deep learning splice prediction tools using functional splice assays · Table 3 row 'MaxEntScan', column 'Missing values'
Configuration: MaxEntScan (Riepe et al. 2021)Protocol: ABCA4 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 3)
Dataset: ABCA4 noncanonical splice-site variants (Riepe et al. benchmark set)
17% Negative predictive value
percent · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MaxEntScan on ABCA4 noncanonical splice-site variants

splicing-follow-up-20261009-protocol-riepe2021-abca4-ncss

Aggregation: Not reported

Benchmarking deep learning splice prediction tools using functional splice assays · Table 3 row 'MaxEntScan', column 'NPV (%)'
Configuration: MaxEntScan (Riepe et al. 2021)Protocol: ABCA4 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 3)
Dataset: ABCA4 noncanonical splice-site variants (Riepe et al. benchmark set)
95% Precision
percent · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MaxEntScan on ABCA4 noncanonical splice-site variants

splicing-follow-up-20261009-protocol-riepe2021-abca4-ncss

Aggregation: Not reported

Benchmarking deep learning splice prediction tools using functional splice assays · Table 3 row 'MaxEntScan', column 'PPV (%)'
Configuration: MaxEntScan (Riepe et al. 2021)Protocol: ABCA4 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 3)
Dataset: ABCA4 noncanonical splice-site variants (Riepe et al. benchmark set)
63% Recall
percent · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MaxEntScan on ABCA4 noncanonical splice-site variants

splicing-follow-up-20261009-protocol-riepe2021-abca4-ncss

Aggregation: Not reported

Benchmarking deep learning splice prediction tools using functional splice assays · Table 3 row 'MaxEntScan', column 'Sensitivity (%)'
Configuration: MaxEntScan (Riepe et al. 2021)Protocol: ABCA4 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 3)
Dataset: ABCA4 noncanonical splice-site variants (Riepe et al. benchmark set)
71% Specificity
percent · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MaxEntScan on ABCA4 noncanonical splice-site variants

splicing-follow-up-20261009-protocol-riepe2021-abca4-ncss

Aggregation: Not reported

Benchmarking deep learning splice prediction tools using functional splice assays · Table 3 row 'MaxEntScan', column 'Specificity (%)'
Configuration: MaxEntScan (Riepe et al. 2021)Protocol: ABCA4 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 3)
Dataset: ABCA4 noncanonical splice-site variants (Riepe et al. benchmark set)
5 True negatives
count · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MaxEntScan on ABCA4 noncanonical splice-site variants

splicing-follow-up-20261009-protocol-riepe2021-abca4-ncss

Aggregation: Not reported

Benchmarking deep learning splice prediction tools using functional splice assays · Table 3 row 'MaxEntScan', column 'TN'
Configuration: MaxEntScan (Riepe et al. 2021)Protocol: ABCA4 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 3)
Dataset: ABCA4 noncanonical splice-site variants (Riepe et al. benchmark set)
40 True positives
count · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MaxEntScan on ABCA4 noncanonical splice-site variants

splicing-follow-up-20261009-protocol-riepe2021-abca4-ncss

Aggregation: Not reported

Benchmarking deep learning splice prediction tools using functional splice assays · Table 3 row 'MaxEntScan', column 'TP'
Configuration: MaxEntScan (Riepe et al. 2021)Protocol: MYBPC3 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 5)
Dataset: MYBPC3 noncanonical splice-site variants (Riepe et al. benchmark set)
74% Accuracy
percent · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MaxEntScan on MYBPC3 noncanonical splice-site variants

splicing-follow-up-20261009-protocol-riepe2021-mybpc3-ncss

Aggregation: Not reported

Benchmarking deep learning splice prediction tools using functional splice assays · Table 5 row 'MaxEntScan', column 'Accuracy (%)'
Configuration: MaxEntScan (Riepe et al. 2021)Protocol: MYBPC3 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 5)
Dataset: MYBPC3 noncanonical splice-site variants (Riepe et al. benchmark set)
10 False negatives
count · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MaxEntScan on MYBPC3 noncanonical splice-site variants

splicing-follow-up-20261009-protocol-riepe2021-mybpc3-ncss

Aggregation: Not reported

Benchmarking deep learning splice prediction tools using functional splice assays · Table 5 row 'MaxEntScan', column 'FN'
Configuration: MaxEntScan (Riepe et al. 2021)Protocol: MYBPC3 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 5)
Dataset: MYBPC3 noncanonical splice-site variants (Riepe et al. benchmark set)
6 False positives
count · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

MaxEntScan on MYBPC3 noncanonical splice-site variants

splicing-follow-up-20261009-protocol-riepe2021-mybpc3-ncss

Aggregation: Not reported

Benchmarking deep learning splice prediction tools using functional splice assays · Table 5 row 'MaxEntScan', column 'FP'

Source checking is not independent reproduction. Release 2026-11-02-a7f03c9e55a5.

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Release 2026-11-02-a7f03c9e55a5 · Record review: source checked

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Technical metadata and extraction receipts

Stable ID: splicing-follow-up-20261009-config-riepe2021-maxentscan

areas
dna-genomes
contexts
research
method types
conventional_pipeline
reported name
MaxEntScan (Riepe et al. 2021)
foundation model eligible
false
version
Alamut Visual 2.13
parameters
Classification cutoff per data set; Table 2 prints the ROC-optimal thresholds, and Tables 3-5 do not restate which cutoff was applied
source locator
Methods 'In silico splice prediction tools'; Table 2
provenance note
MaxEntScan (Riepe et al. 2021) as run in the cited comparison.
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