sigFeature: Novel Significant Feature Selection Method for Classification of Gene Expression Data Using Support Vector Machine and t Statistic

Biological data are accumulating at a faster rate, but interpreting them still remains a problem. Classifying biological data into distinct groups is the first step in understanding them. Data classification in response to a certain treatment is an extremely important aspect for differentially expre...

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Detalles Bibliográficos
Autores principales: Das, Pijush, Roychowdhury, Anirban, Das, Subhadeep, Roychoudhury, Susanta, Tripathy, Sucheta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7169426/
https://www.ncbi.nlm.nih.gov/pubmed/32346383
http://dx.doi.org/10.3389/fgene.2020.00247

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7169426/
https://www.ncbi.nlm.nih.gov/pubmed/32346383
http://dx.doi.org/10.3389/fgene.2020.00247

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