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shaoyoucheng's Projects

netgsa icon netgsa

Network-based Gene Set Analysis

ompr icon ompr

R package to model Mixed Integer Linear Programs

p53retriever icon p53retriever

R package to locate and display p53 putative response elements on a DNA sequence

pharmacogx icon pharmacogx

R package to analyze large-scale pharmacogenomic datasets.

piano icon piano

piano - An R/Bioconductor package for gene set analysis

pmdplyr icon pmdplyr

Panel Maneuvers in dplyr: An R package for cleaning and manipulating panel and hierarchical data

prider icon prider

Easy primer design for complex sequence sets

progeny icon progeny

R package for Pathway RespOnsive GENe activity inference

pwiser icon pwiser

Pairwise operations in {dplyr}.

r-code-classifiers icon r-code-classifiers

The R code compares the performance metrics between logistic regression, SVM, Naive Bayes, Knn and random forest classifers in a 10 fold cross validation loop. The features are iteratively selected in a forward selection manner and everytime a new feature(next best feature selected based on regsubsets) is added the accuracy of the classifers are calculated. Finally a graph is plotted at the end depicting the accuracy at every feature count.

rearrr icon rearrr

Rearrrange data by a set of methods

regionreport icon regionreport

Generate HTML report for a set of genomic regions or DESeq2/edgeR results

regparallel icon regparallel

Standard regression functions in R enabled for parallel processing over large data-frames.

reproducible icon reproducible

A set of tools for R that enhance reproducibility beyond package management

rew-isa icon rew-isa

REW-ISA: RNA expression-weighted iterative signature algorithm

rogme icon rogme

Robust Graphical Methods For Group Comparisons

rpackage_cpsig icon rpackage_cpsig

R package for compare signatures between tumor sample and reference

rtpcr icon rtpcr

This is an R package that serves to analyse rtPCR DATA. It is based on the automatic detection of the expoential phase through robust logarithmic regression. Its results and functioning are described in: Refinetti, P., Warren, D., Morgenthaler, S., & Ekstrøm, P. O. (2017). Quantifying mitochondrial DNA copy number using robust regression to interpret real time PCR results. BMC Research Notes, 10(1), 593. http://doi.org/10.1186/s13104-017-2913-1

runway icon runway

Visualizing Prediction Model Performance

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