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Enhancing gene co-expression network inference for the malaria parasite Plasmodium falciparum

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.05.31.543171Source: DataRank Database

Enhancing gene co-expression network inference for the malaria parasite Plasmodium falciparum is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (2 grants)OA: greenTopics (33)IDs (PubMed, OpenAlex)SDGs (2)

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Authors (8)

Katrina A. Button-Simons ORCID,Mackenzie A. C. Sievert,Elias Chahoud,Gabriel Foster ORCID,Kaitlynn Meis

Live enrichment

PubMed:30945415 OpenAlex:https://openalex.org/W4379208393

National Institutes of Health

Grant: 5P01AI127338-03

Harnessing the power of experimental genetic crosses and systems genetics to probe drug resistance in malaria

National Science Foundation

Grant: 1452795

CAREER: Novel Algorithms for Dynamic Network Analysis in Computational Biology

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/06/02/2023.05.31.543171.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.05.31.543171

repositoryhttp://dx.doi.org/10.1101/2023.05.31.543171

https://doi.org/10.3390/genes15060685

Fields of Study

Computational Drug Discovery MethodsMalaria Research and ControlBioinformatics and Genomic Networks0206 medical engineering02 engineering and technology

Keywords

InferenceGeneComputational biologyAnnotationPlasmodium falciparumGene ontologyBiologyGene regulatory networkMalariaGene co-expression networkCluster analysisGene expressionFunction (biology)GenomeGeneticsComputer scienceData miningArtificial intelligenceProtozoan ProteinsMolecular Sequence Annotationgene co-expression networksArticle<i>P. falciparum</i>network inferenceHumansGene Regulatory NetworksMalaria, Falciparumgene function prediction

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being