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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
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
:
Contribution to journal
›
Article
›
peer-review
18
Scopus citations
Overview
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Mathematics
Perceptron
100%
Test Set
97%
Training
79%
Transcription Factor
78%
Optimization
56%
Strategy
52%
Drosophilidae
37%
Yeast
34%
Search Strategy
33%
Chip
31%
Receiver Operating Characteristic Curve
30%
Scoring
29%
Sequencing
29%
Large Set
26%
Maximise
23%
Human
22%
Heuristics
21%
Experiment
18%
Medicine & Life Sciences
Computer Neural Networks
97%
Seeds
76%
Area Under Curve
61%
Transcription Factors
37%
Chromatin Immunoprecipitation Sequencing
32%
Heuristics
31%
High-Throughput Nucleotide Sequencing
24%
Psychological Power
23%
Drosophila
23%
ROC Curve
21%
Yeasts
20%
Binding Sites
19%
Databases
15%
Engineering & Materials Science
Seed
77%
Transcription factors
71%
Neural networks
45%
Binding sites
34%
Yeast
29%
Experiments
8%
Chemical Compounds
Binding Site
52%
Length
44%
Amount
31%