SpCLUST: Towards a fast and reliable clustering for potentially divergent biological sequences.
Johny MatarHicham El KhouryJean-Claude CharrChristophe GuyeuxStéphane ChrétienPublished in: Comput. Biol. Medicine (2019)
Keyphrases
- biological sequences
- clustering algorithm
- self organizing maps
- k means
- protein sequences
- clustering method
- motif finding
- molecular biology
- sequence data
- computational biology
- unsupervised learning
- cluster analysis
- dna sequences
- similarity function
- natural language processing
- data sources
- similarity measure
- machine learning
- neural network