Discovering monotonic stemness marker genes from time-series stem cell microarray data

BACKGROUND: Identification of genes with ascending or descending monotonic expression patterns over time or stages of stem cells is an important issue in time-series microarray data analysis. We propose a method named Monotonic Feature Selector (MFSelector) based on a concept of total discriminating...

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Detalles Bibliográficos
Autores principales: Wang, Hsei-Wei, Sun, Hsing-Jen, Chang, Ting-Yu, Lo, Hung-Hao, Cheng, Wei-Chung, Tseng, George C, Lin, Chin-Teng, Chang, Shing-Jyh, Pal, Nikhil Ranjan, Chung, I-Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4331716/
https://www.ncbi.nlm.nih.gov/pubmed/25708300
http://dx.doi.org/10.1186/1471-2164-16-S2-S2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4331716/
https://www.ncbi.nlm.nih.gov/pubmed/25708300
http://dx.doi.org/10.1186/1471-2164-16-S2-S2

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