LMMO: A Large Margin Approach for Refining Regulatory Motifs.
Lin ZhuHong-Bo ZhangDe-Shuang HuangPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2018)
Keyphrases
- transcription factors
- cis regulatory
- binding sites
- dna sequences
- gene expression
- microarray
- component analysis
- motif discovery
- gene regulatory
- regulatory elements
- computational biology
- support vector
- gene regulation
- genome wide
- transcriptional regulation
- dna binding
- transcription factor binding sites
- biological sequences
- novelty detection
- hyperplane
- linear classifiers
- maximum margin
- systems biology
- sequence data
- structured prediction
- biological networks
- rna sequences
- network motifs
- large margin classifiers
- motif finding
- labeled data
- lower error rates
- repeated patterns
- knn
- learning algorithm