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Papers: 10.1186/s12859-020-03786-x

https://doi.org/10.1186/s12859-020-03786-x

IP4M: an integrated platform for mass spectrometry-based metabolomics data mining

Cited by: 32
Author(s): Dandan Liang, Quan Liu, Kejun Zhou, Jia Wang, Guoxiang Xie, Tianlu Chen
Published: almost 5 years ago

Software Mentions 11

bioconductor: biosigner
Signature discovery from omics data
Papers that mentioned: 5
Very Likely Science (65)
bioconductor: CAMERA
Collection of annotation related methods for mass spectrometry data
Papers that mentioned: 429
Very Likely Science (75)
bioconductor: MAIT
Statistical Analysis of Metabolomic Data
Papers that mentioned: 16
Very Likely Science (85)
bioconductor: metaMS
MS-based metabolomics annotation pipeline
Papers that mentioned: 13
Very Likely Science (75)
cran: Boruta
Wrapper Algorithm for All Relevant Feature Selection
Papers that mentioned: 192
Very Likely Science (93)
cran: e1071
Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien
Papers that mentioned: 419
Very Likely Science (85)
cran: ESEA
Discovering the Dysregulated Pathways based on Edge Set Enrichment Analysis
Papers that mentioned: 12
Very Likely Science (85)
cran: MetabolAnalyze
Probabilistic Latent Variable Models for Metabolomic Data
Papers that mentioned: 9
Very Likely Science (75)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)
pypi: Boruta
Python Implementation of Boruta Feature Selection
Papers that mentioned: 192
Very Likely Science (80)
pypi: metaMS
Data processing, and annotation for metabolomics analysis by low-resolution GC-MS
Papers that mentioned: 13
Very Likely Science (75)