Feature Selection for Longitudinal Data by Using Sign Averages to Summarize Gene Expression Values over Time

With the rapid evolution of high-throughput technologies, time series/longitudinal high-throughput experiments have become possible and affordable. However, the development of statistical methods dealing with gene expression profiles across time points has not kept up with the explosion of such data...

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Detalles Bibliográficos
Autores principales: Tian, Suyan, Wang, Chi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6444255/
https://www.ncbi.nlm.nih.gov/pubmed/31016185
http://dx.doi.org/10.1155/2019/1724898

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6444255/
https://www.ncbi.nlm.nih.gov/pubmed/31016185
http://dx.doi.org/10.1155/2019/1724898

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