Transcription factor discovery using support vector machines and heterogeneous data

Keyphrases

• Transcription Factor 100%
• Expression Data 100%
• Heterogeneous Data 100%
• Support Vector Machine 100%
• Machine Data 100%
• Factor Discovery 100%
• Sequence Data 66%
• Co-regulation 66%
• Classification Accuracy 33%
• Feature Extraction 33%
• Co-expression 33%
• Sequence Motif 33%
• Regulatory Relationship 33%
• Heterogeneous Data Fusion 33%
• Probability of Correct Classification 33%

Biochemistry, Genetics and Molecular Biology

• Support Vector Machine 100%
• Transcription Factors 100%
• Genetics 50%
• Transcription 50%
• Sequence Motif 50%
• Operator Gene 50%
• Feature Extraction 50%

Computer Science

• Support Vector Machine 100%
• Heterogeneous Data 100%
• Data Fusion 50%
• Feature Extraction 50%