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Protocol for predicting single- and multiple-dose-dependent gene expression using deep generative learning

STAR Protocols(2025)10.1016/j.xpro.2025.103932Source: DataRank Database

Protocol for predicting single- and multiple-dose-dependent gene expression using deep generative learning is a research paper published in STAR Protocols (2025). On theSindex it has a DataRank of 0.

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Enrichment:Funding (11 grants)Impact (FWCI 0.00)OA: goldTopics (48)IDs (PubMed, PMC, OpenAlex)Annotations (3)

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Context only (not used in score)

Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Vishal Panda,Daniel Marri ORCID,Omar Kana ORCID,Sudin Bhattacharya ORCID,Derek E. Bowman ORCID

Live enrichment

PubMed:40650899 PMC:PMC12274909 OpenAlex:https://openalex.org/W4412392864

National Institute of Environmental Health Sciences

Grant: R01 ES031937

National Institute of Environmental Health Sciences

Grant: P42 ES004911

National Institute of Environmental Health Sciences

Grant: T32 ES007255

National Human Genome Research Institute

Grant: R21 HG010789

National Institutes of Health

Grant: 1R21HG010789-01

Advancing chemical and drug safety testing using single-cell RNA-sequencing

National Institutes of Health

Grant: 5R01ES031937-03

Integrative transcriptional and epigenomic modeling of xenobiotic-activated gene regulatory networks

National Institutes of Health

Grant: 5T32ES007255-23

Multidisciplinary Training in Environmental Toxicology

National Institutes of Health

Grant: 5P42ES004911-19

Dissecting the Signaling Network for Ah Receptor-mediated B-cell Toxicity

Michigan State University AgBioResearch

National Institutes of Health

Michigan State University

FWCI

0.00

Citation Percentile

0.1%

goldLicense: cc-by-nc-nd

journalhttps://doi.org/10.1016/j.xpro.2025.103932

GOLDhttps://doi.org/10.1016/j.xpro.2025.103932

publisherhttps://doi.org/10.1016/j.xpro.2025.103932

publisherhttps://api.elsevier.com/content/article/PII:S2666166725003387?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2666166725003387?httpAccept=text/plain

Fields of Study

Single-cell and spatial transcriptomicsGene Regulatory Network AnalysisCell Image Analysis TechniquesMedicineComputer ScienceBiology0206 medical engineering02 engineering and technologySingle-Cell AnalysisDeep LearningHumansGene Expression ProfilingGene ExpressionSequence Analysis, RNARNA-Seq

MeSH Terms

Deep LearningRNA-SeqHumansGene ExpressionSequence Analysis, RNAGene Expression ProfilingSingle-Cell Analysis

Keywords

Protocol (science)InferenceComputer scienceExpression (computer science)Gene expressionCode (set theory)Artificial intelligenceGeneGenerative modelComputational biologyGenerative grammarBiologyGeneticsProgramming languageBioinformaticsGenomicssystems biologyScience (General)Sequence Analysis, RNAGene Expression ProfilingQ1-390Deep LearningProtocolHumansRNA-SeqSingle-Cell Analysis