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Probabilistic Inference on Multiple Normalized Signal Profiles from Next Generation Sequencing: Transcription Factor Binding Sites
Ka-Chun Wong, Chengbin Peng, Yue Li
Computer, Electrical and Mathematical Sciences and Engineering
Research output
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Contribution to journal
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Article
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peer-review
5
Scopus citations
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Dive into the research topics of 'Probabilistic Inference on Multiple Normalized Signal Profiles from Next Generation Sequencing: Transcription Factor Binding Sites'. Together they form a unique fingerprint.
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Biochemistry, Genetics and Molecular Biology
Transcription Factor
100%
Next Generation Sequencing
100%
Chromatin Immunoprecipitation
100%
Binding Site
100%
DNA-binding Protein
50%
Gene Control
16%
Promoter Region
16%
Gene Function
16%
Enhancer Region
16%
Genetic Transcription
16%
Prevalence
16%
Neuroscience
Transcription Factors
100%
Binding Site
100%
Immunoprecipitation
100%
DNA-binding Protein
50%
In Vivo
16%
Gene Control
16%
Promoter Region
16%
Genetic Transcription
16%
Enhancer Region
16%
Gene Function
16%
Keyphrases
Probabilistic Inference
100%
Sequence Classification
16%
Technology Measures
16%
Profile Inference
16%
Conditional Independence Assumption
16%
Conditional Independence
16%
Intuitive Method
16%