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Discriminative motif optimization based on perceptron training
Ronak Y. Patel, Gary D. Stormo
Department of Genetics
Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)
Institute of Clinical and Translational Sciences (ICTS)
Edison Family Center for Genome Sciences & Systems Biology
DBBS - Computational and Systems Biology
DBBS - Human and Statistical Genetics
DBBS - Molecular Genetics and Genomics
DBBS - Biochemistry, Biophysics, and Structural Biology
Research output
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Contribution to journal
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Article
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peer-review
18
Scopus citations
Overview
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Keyphrases
Optimization Approach
100%
Finders
100%
Perceptron
100%
Drosophilidae
50%
Transcription Factor
50%
Next-generation Sequencing
50%
Training Set
50%
Area under the Receiver Operating Characteristic Curve
50%
Transcription Factor Binding Sites
50%
Chromatin Immunoprecipitation (ChIP)
50%
Search Strategy
50%
Scoring Function
50%
Discriminatory Power
50%
Rapid Optimization
50%
Input Sequence
50%
Experimental Reports
50%
Function Optimization
50%
Traditional Motifs
50%
Negative Database
50%
Discrete Search
50%
Computer Science
Characteristic Curve
100%
Search Strategies
100%
Scoring Function
100%
Chemistry
Primary Structure
100%
Area Under the Curve
100%
Binding Site
33%
Material Science
Transcription Factor
100%