Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Projects: cran: plsgenomics

https://packages.ecosyste.ms/registries/cran.r-project.org/packages/plsgenomics

PLS Analyses for Genomics
15 versions
Latest release: about 6 years ago
4 dependent packages
403 downloads last month

Papers Mentioning plsgenomics 8

10.1186/1471-2105-9-439
CMA – a comprehensive Bioconductor package for supervised classification with high dimensional data
Cited by: 90
Author(s): Martin Slawski, Martin Däumer, Anne‐Laure Boulesteix
Software Mentions: 16
Published: about 16 years ago
10.1186/s12859-015-0719-5
mAPKL: R/ Bioconductor package for detecting gene exemplars and revealing their characteristics
Cited by: 3
Author(s): Αλέξανδρος Σακελλαρίου, George M. Spyrou
Software Mentions: 15
Published: about 9 years ago
10.6026/97320630013327
Robust Feature Selection Approach for Patient Classification using Gene Expression Data
Cited by: 6
Author(s): Shahjaman, Nishith Kumar, Shakil Ahmed, AnjumanAra Begum, S. M. Shahinul Islam, Md. Nurul Haque Mollah
Software Mentions: 5
Published: about 7 years ago
10.3389/fgene.2018.00194
Matrix Integrative Analysis (MIA) of Multiple Genomic Data for Modular Patterns
Cited by: 3
Author(s): Jinyu Chen, Shihua Zhang
Software Mentions: 5
Published: over 6 years ago
10.1186/1753-6561-5-S9-S19
Gene-based partial least-squares approaches for detecting rare variant associations with complex traits
Cited by: 8
Author(s): Asuman Türkmen, Shili Lin
Software Mentions: 4
Published: almost 13 years ago
10.1186/1753-6561-8-S1-S58
Identifying rare variant associations in population-based and family-based designs
Cited by: 2
Author(s): Asuman Türkmen, Shili Lin
Software Mentions: 2
Published: over 10 years ago
10.1371/journal.pone.0164513
Evaluating Transcription Factor Activity Changes by Scoring Unexplained Target Genes in Expression Data
Cited by: 6
Author(s): Evi Berchtold, Gergely Csaba, Ralf Zimmer
Software Mentions: 1
Published: about 8 years ago
10.1038/s41598-019-55339-9
Monitoring type 2 diabetes from volatile faecal metabolome in Cushing’s syndrome and single Afmid mouse models via a longitudinal study
Cited by: 13
Author(s): Célia Lourenço, Darren J. Kelly, Jack Cantillon, Michael Cauchi, Michele Yon, Liz Bentley, Roger D. Cox, Claire Turner
Software Mentions: 1
Published: almost 5 years ago