Dataset/README.md
In huynguyen250896/computeC: Automatically compute the correlation between individual genes and clinical features
DESCRIPTION:
Here application examples of computeC:
The files here contain:
1. gene_expression.txt: A text file presents expression levels of genes across patients whose rows are patients and columns are genes.
-
clinical_features.txt: A text file presents clinical features of patients whose rows are patients and columns are genes. NOTE that the patients here are also in gene_expression.txt with exactly the same order.
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computeC_processed_data.R: R code examples to process the raw data from scratch before inputting them to computeC.
-
computeC_processed_data.RData: Processed data are available to run computeC immediately.
huynguyen250896/computeC documentation built on June 24, 2021, 5:58 a.m.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
DESCRIPTION:
Here application examples of computeC:
The files here contain: 1. gene_expression.txt: A text file presents expression levels of genes across patients whose rows are patients and columns are genes.
-
clinical_features.txt: A text file presents clinical features of patients whose rows are patients and columns are genes. NOTE that the patients here are also in gene_expression.txt with exactly the same order.
-
computeC_processed_data.R: R code examples to process the raw data from scratch before inputting them to computeC.
-
computeC_processed_data.RData: Processed data are available to run computeC immediately.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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