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

Papers: 10.3390/cancers11091248

https://doi.org/10.3390/cancers11091248

Gastric Normal Adjacent Mucosa Versus Healthy and Cancer Tissues: Distinctive Transcriptomic Profiles and Biological Features

Cited by: 28
Author(s): Sabino Russi, Giovanni Calice, Vitalba Ruggieri, Simona Laurino, Francesco La Rocca, Elena Amendola, Cinzia Lapadula, Debora Compare, Gerardo Nardone, Pellegrino Musto, Mario De Felice, Geppino Falco, Pietro Zoppoli
Published: almost 6 years ago

Software Mentions 12

bioconductor: ArrayExpress
Access the ArrayExpress Collection at EMBL-EBI Biostudies and build Bioconductor data structures: ExpressionSet, AffyBatch, NChannelSet
Papers that mentioned: 1,962
Very Likely Science (83)
bioconductor: beadarray
Quality assessment and low-level analysis for Illumina BeadArray data
Papers that mentioned: 94
Very Likely Science (100)
bioconductor: DeconRNASeq
Deconvolution of Heterogeneous Tissue Samples for mRNA-Seq data
Papers that mentioned: 23
Very Likely Science (90)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
bioconductor: GSVA
Gene Set Variation Analysis for microarray and RNA-seq data
Papers that mentioned: 893
Very Likely Science (100)
bioconductor: pathview
a tool set for pathway based data integration and visualization
Papers that mentioned: 144
Very Likely Science (100)
bioconductor: RUVSeq
Remove Unwanted Variation from RNA-Seq Data
Papers that mentioned: 91
Very Likely Science (100)
bioconductor: TCGAbiolinks
TCGAbiolinks: An R/Bioconductor package for integrative analysis with GDC data
Papers that mentioned: 276
Very Likely Science (100)
cran: GSA
Gene Set Analysis
Papers that mentioned: 285
Very Likely Science (93)
cran: Rtsne
T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut Implementation
Papers that mentioned: 255
Very Likely Science (100)
pypi: GSA
Python Package to implement Gravitational Search Algorithm. Documentation at:https://github.com/deepanshu1999/GSA
Papers that mentioned: 285
Very Likely Science (90)
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)