Papers: 10.3390/genes11060623
https://doi.org/10.3390/genes11060623
Computational Analysis of Transcriptomic and Proteomic Data for Deciphering Molecular Heterogeneity and Drug Responsiveness in Model Human Hepatocellular Carcinoma Cell Lines
Cited by: 3
Author(s): Panagiotis Agioutantis, Heleni Loutrari, Fragiskos N. Kolisis
Published: about 5 years ago
Software Mentions 6
bioconductor: EnhancedVolcano
Publication-ready volcano plots with enhanced colouring and labelingPapers that mentioned: 123
Very Likely Science (100)
bioconductor: GSVA
Gene Set Variation Analysis for microarray and RNA-seq dataPapers that mentioned: 893
Very Likely Science (100)
Very Likely Science (78)
Very Likely Science (100)
pypi: dp
Automatically transform recursive functions to dynamic programmingPapers that mentioned: 13
Very Likely Science (65)
pypi: GSVA
Python CLI and module for running the GSVA R bioconductor package with Python Pandas inputs and outputs.Papers that mentioned: 893
Very Likely Science (100)