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

Papers: 10.1371/journal.pone.0240824

https://doi.org/10.1371/journal.pone.0240824

A novel computational approach for predicting complex phenotypes in Drosophila (starvation-sensitive and sterile) by deriving their gene expression signatures from public data

Cited by: 0
Author(s): Dobril Ivanov, Gerrit Bostelmann, Benoît Lan-Leung, Julie Williams, Linda Partridge, Valentina Escott‐Price, Janet M. Thornton
Published: almost 5 years ago

Software Mentions 8

bioconductor: affy
Methods for Affymetrix Oligonucleotide Arrays
Papers that mentioned: 989
Very Likely Science (98)
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: ExpressionAtlas
Download datasets from EMBL-EBI Expression Atlas
Papers that mentioned: 7
Very Likely Science (100)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)
pypi: Expression
Practical functional programming for Python 3.9+
Papers that mentioned: 200
Very Likely Science (65)
pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)
pypi: package
package is a package to package your package
Papers that mentioned: 1,300
Very Likely Science (65)