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An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1186/s13059-020-1942-6

https://doi.org/10.1186/s13059-020-1942-6

A framework for transcriptome-wide association studies in breast cancer in diverse study populations

Cited by: 60
Author(s): Arjun Bhattacharya, Montserrat García‐Closas, Andrew F. Olshan, Charles M. Perou, Melissa A. Troester, Michael I. Love
Published: over 5 years ago

Software Mentions 6

bioconductor: GWASTools
Tools for Genome Wide Association Studies
Papers that mentioned: 17
Very Likely Science (100)
bioconductor: NanoStringQCPro
Quality metrics and data processing methods for NanoString mRNA gene expression data
Papers that mentioned: 4
Very Likely Science (100)
bioconductor: qvalue
Q-value estimation for false discovery rate control
Papers that mentioned: 248
Very Likely Science (100)
bioconductor: RUVSeq
Remove Unwanted Variation from RNA-Seq Data
Papers that mentioned: 91
Very Likely Science (100)
cran: rrBLUP
Ridge Regression and Other Kernels for Genomic Selection
Papers that mentioned: 263
Very Likely Science (93)
cran: survSNP
Power Calculations for SNP Studies with Censored Outcomes
Papers that mentioned: 4
Very Likely Science (83)