Analyzing the similarity of samples and genes by MG-PCC algorithm, t-SNE-SS and t-SNE-SG maps

BACKGROUND: For analyzing these gene expression data sets under different samples, clustering and visualizing samples and genes are important methods. However, it is difficult to integrate clustering and visualizing techniques when the similarities of samples and genes are defined by PCC(Person corr...

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Detalles Bibliográficos
Autores principales: Jia, Xingang, Han, Qiuhong, Lu, Zuhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6296107/
https://www.ncbi.nlm.nih.gov/pubmed/30558536
http://dx.doi.org/10.1186/s12859-018-2495-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6296107/
https://www.ncbi.nlm.nih.gov/pubmed/30558536
http://dx.doi.org/10.1186/s12859-018-2495-5

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