SurprisalAnalysis: an open-source software for information-theoretic analysis of gene expression

SurprisalAnalysis is written in R and is freely available on GitHub (https://github.com/AnniceNajafi/SurprisalAnalysis). The package is distributed under a permissive license to promote scientific collaboration and reproducibility. A web-based application with a Graphical User Interface (GUI) is hosted on https://najafiannice.shinyapps.io/surprisal_analysis_app/.

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Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf291
Primary Topic
Gene expression and cancer classification
Type
article
Field-Weighted Citation Impact
0.00
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article

SurprisalAnalysis: an open-source software for information-theoretic analysis of gene expression

Annice Najafi
Bioinformatics Advances
Gene expression and cancer classification
article

SurprisalAnalysis: an open-source software for information-theoretic analysis of gene expression

Annice Najafi
article en

Abstract

SurprisalAnalysis is written in R and is freely available on GitHub (https://github.com/AnniceNajafi/SurprisalAnalysis). The package is distributed under a permissive license to promote scientific collaboration and reproducibility. A web-based application with a Graphical User Interface (GUI) is hosted on https://najafiannice.shinyapps.io/surprisal_analysis_app/.

Bioinformatics AdvancesVol. 5(1)
California State Polytechnic University (US)
Openalex Percentile: Top 77%
Gene expression and cancer classification
DOIOpen Access PDFOpenAlex
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SurprisalAnalysis: an open-source software for information-theoretic analysis of gene expression — Annice Najafi · Bioinformatics Advances (2024) | TGRS Research Map | TGRS