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

Papers: 10.1038/s41380-020-0669-9

https://doi.org/10.1038/s41380-020-0669-9

Transcriptome of iPSC-derived neuronal cells reveals a module of co-expressed genes consistently associated with autism spectrum disorder

Cited by: 37
Author(s): Karina Griesi-Oliveira, Mariana Soares Fogo, Bruna G G Pinto, Aline Yasuda Alves, Adriano K. Suzuki, Andressa Gois Morales, Suzana Ezquina, Omar Sosa, Gavin J. Sutton, Daniele Yumi Sunaga-Franze, Ana Paula Silva Bueno, Gabriela Seabra, Luis Roberto Sardinha, Silvia Souza da Costa, Carla Rosenberg, Elaine Cristina Zachi, Andréa L. Sertié, Daniel Martins‐de‐Souza, Eduardo M. Reis, Irina Voineagu, Maria Rita Passos‐Bueno
Published: over 5 years ago

Software Mentions 6

bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
bioconductor: variancePartition
Quantify and interpret drivers of variation in multilevel gene expression experiments
Papers that mentioned: 25
Very Likely Science (100)
cran: geepack
Generalized Estimating Equation Package
Papers that mentioned: 255
Very Likely Science (75)
cran: WGCNA
Weighted Correlation Network Analysis
Papers that mentioned: 3,479
Very Likely Science (85)
pypi: co
Python library for making and tracking mutated copies of DNA components
Papers that mentioned: 78
Likely Science (55)
pypi: HTSeq
A framework to process and analyze data from high-throughput sequencing (HTS) assays
Papers that mentioned: 3,071
Very Likely Science (65)