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

Papers: 10.1371/journal.pone.0143970

https://doi.org/10.1371/journal.pone.0143970

A Transcriptional Signature of Fatigue Derived from Patients with Primary Sjögren’s Syndrome

Cited by: 37
Author(s): Katherine James, Shereen Al-Ali, Jessica Tarn, Simon Cockell, Colin S. Gillespie, Victoria Hindmarsh, James Locke, Sheryl Mitchell, Dennis Lendrem, Simon Bowman, Elizabeth Price, Colin Pease, Paul Emery, Peter Lanyon, John Hunter, Monica Gupta, Michèle Bombardieri, Nurhan Sutcliffe, Costantino Pitzalis, John McLaren, Annie Cooper, Marian Regan, Ian Giles, David Isenberg, Vadivelu Saravanan, David Coady, Bhaskar Dasgupta, Neil McHugh, Steven Young-Min, Robert J. Moots, Nagui Gendi, Mohammed Akil, Bridget Griffiths, Anil Wipat, Julia L. Newton, David Jones, John D. Isaacs, Jennifer Hallinan, Wan‐Fai Ng
Published: over 9 years ago

Software Mentions 8

bioconductor: arrayQualityMetrics
Quality metrics report for microarray data sets
Papers that mentioned: 190
Very Likely Science (100)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
bioconductor: lumi
BeadArray Specific Methods for Illumina Methylation and Expression Microarrays
Papers that mentioned: 238
Very Likely Science (100)
cran: carat
Covariate-Adaptive Randomization for Clinical Trials
Papers that mentioned: 3
Very Likely Science (85)
cran: e1071
Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien
Papers that mentioned: 419
Very Likely Science (85)
pypi: analysis
Source code analysis of Python programs
Papers that mentioned: 2,036
Very Likely Science (90)
pypi: carat
Computer-Aided Rhythm Analysis Toolbox
Papers that mentioned: 3
Likely Science (50)
pypi: combat
pyComBat, a Python tool for batch effects correction in high-throughput molecular data using empirical Bayes methods
Papers that mentioned: 8
Very Likely Science (100)