Multiple‐cumulative probabilities used to cluster and visualize transcriptomes

Analysis of gene expression data by clustering and visualizing played a central role in obtaining biological knowledge. Here, we used Pearson's correlation coefficient of multiple‐cumulative probabilities (PCC‐MCP) of genes to define the similarity of gene expression behaviors. To answer the ch...

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Detalles Bibliográficos
Autores principales: Jia, Xingang, Liu, Yisu, Han, Qiuhong, Lu, Zuhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Methods
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5715267/
https://www.ncbi.nlm.nih.gov/pubmed/29226087
http://dx.doi.org/10.1002/2211-5463.12327

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5715267/
https://www.ncbi.nlm.nih.gov/pubmed/29226087
http://dx.doi.org/10.1002/2211-5463.12327

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