Description Usage Arguments Author(s) References Examples
A previous study defined subtype-specific genes are the ones mutated predominantly in the samples assigned to one single subtype than in the other subtypes. Subsequently, those genes are genomic features that reflect the difference between subgroups of heterogeneous cancers. To computationally detect subtype-specific genes, we built the R package GeneCluster from the idea of the reference paper. In brief, given a gene from a list of genes of interest, it will be specifically distributed to either of predictive subgroups based on the mean values (e.g., CNA changes, MET changes, and expression levels). Then, a gene was considered as a subtype-specific one if P-value <= 0.05 (one-way ANOVA test). For further information on requirements as well as how to implement this tool, please visit my Github repository: https://github.com/huynguyen250896/GeneCluster
1 | SubtypeSpecificGene(omics, cluster, adjustedP = T)
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omics |
data.frame or matrix. |
cluster |
numeric. Predictive subgroups correspond with samples after running a clustering tool for your own data (e.g., k-means, hclust,...). |
adjustedP |
logical. Whether we should adjust the gained P-values (one-way ANOVA test) using the Benjamini-Hochberg procedure.
Default is |
Quang-Huy Nguyen
Quang-Huy Nguyen, Duc-Hau Le. (2020). Multi-omics analysis detects novel prognostic subgroups of breast cancer. Frontiers in Genetics, 11(1265).
1 | SubtypeSpecificGene(omics = exp, cluster = groups)
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