A Discriminative Approach for Unsupervised Clustering of DNA Sequence Motifs.
Philip StegmaierAlexander E. KelEdgar WingenderJürgen BorlakPublished in: PLoS Comput. Biol. (2013)
Keyphrases
- dna sequences
- unsupervised clustering
- supervised classification
- tandem repeats
- motif discovery
- k means
- binding sites
- dna computing
- image segmentation
- clustering method
- semi supervised clustering
- sequence patterns
- unsupervised learning
- clustering algorithm
- human genome
- semi supervised
- biological sequences
- spectral clustering
- transcription factors
- gene structure prediction
- gene prediction
- pairwise constraints
- fuzzy c means
- document clustering
- rna sequences
- regulatory elements
- protein coding regions
- machine learning
- semi supervised learning
- fuzzy sets
- knowledge discovery
- pairwise
- transcription factor binding sites
- reinforcement learning
- computer vision