Cargando…
SMART: Unique Splitting-While-Merging Framework for Gene Clustering
Successful clustering algorithms are highly dependent on parameter settings. The clustering performance degrades significantly unless parameters are properly set, and yet, it is difficult to set these parameters a priori. To address this issue, in this paper, we propose a unique splitting-while-merg...
Autores principales: | Fa, Rui, Roberts, David J., Nandi, Asoke K. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3979766/ https://www.ncbi.nlm.nih.gov/pubmed/24714159 http://dx.doi.org/10.1371/journal.pone.0094141 |
Ejemplares similares
-
Paradigm of Tunable Clustering Using Binarization of Consensus Partition Matrices (Bi-CoPaM) for Gene Discovery
por: Abu-Jamous, Basel, et al.
Publicado: (2013) -
Yeast gene CMR1/YDL156W is consistently co-expressed with genes participating in DNA-metabolic processes in a variety of stringent clustering experiments
por: Abu-Jamous, Basel, et al.
Publicado: (2013) -
Integrative cluster analysis in bioinformatics
por: Abu-Jamous, Basel, et al.
Publicado: (2015) -
UNCLES: method for the identification of genes differentially consistently co-expressed in a specific subset of datasets
por: Abu-Jamous, Basel, et al.
Publicado: (2015) -
Comprehensive analysis of forty yeast microarray datasets reveals a novel subset of genes (APha-RiB) consistently negatively associated with ribosome biogenesis
por: Abu-Jamous, Basel, et al.
Publicado: (2014)