Density based pruning for identification of differentially expressed genes from microarray data

MOTIVATION: Identification of differentially expressed genes from microarray datasets is one of the most important analyses for microarray data mining. Popular algorithms such as statistical t-test rank genes based on a single statistics. The false positive rate of these methods can be improved by c...

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Detalles Bibliográficos
Autores principales: Hu, Jianjun, Xu, Jia
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2975422/
https://www.ncbi.nlm.nih.gov/pubmed/21047384
http://dx.doi.org/10.1186/1471-2164-11-S2-S3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2975422/
https://www.ncbi.nlm.nih.gov/pubmed/21047384
http://dx.doi.org/10.1186/1471-2164-11-S2-S3

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