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Adversarial deconfounding autoencoder for learning robust gene expression embeddings

Bioinformatics(2020)10.1093/bioinformatics/btaa796Source: DataRank Database

Adversarial deconfounding autoencoder for learning robust gene expression embeddings is a research paper published in Bioinformatics (2020). On theSindex it has a DataRank of 0. It has been cited 87 times.

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0DataRank · unranked

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Open Access87 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)Impact (FWCI 2.69)OA: bronzeTopics (22)IDs (PubMed, PMC, OpenAlex)Annotations (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (3)

Joseph D. Janizek ORCID,Su-In Lee ORCID,Ayse B. Dincer

Live enrichment

PubMed:33381842 PMC:PMC7773484 OpenAlex:https://openalex.org/W3115409560

National Institutes of Health

Grant: R35 GM 128638

National Institutes of Health

Grant: R01 NIA AG 061132

CAREER

Grant: DBI-1552309

CAREER

Grant: DBI-1759487

NIA NIH HHS

Grant: R01 AG061132

National Science Foundation

FWCI

2.69

Citation Percentile

0.9%

Citation Trend

2021

2022

2023

2024

2025

2026

bronzeLicense: https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model

journalhttps://academic.oup.com/bioinformatics/article-pdf/36/Supplement_2/i573/35337257/btaa796.pdf

publisherhttps://academic.oup.com/bioinformatics/article-pdf/36/Supplement_2/i573/35337257/btaa796.pdf

publisherhttps://academic.oup.com/bioinformatics/article-pdf/36/Supplement_2/i573/50693499/btaa796.pdf

journalhttps://doi.org/10.1093/bioinformatics/btaa796

repositoryhttps://pubmed.ncbi.nlm.nih.gov/33381842

Fields of Study

Single-cell and spatial transcriptomicsExplainable Artificial Intelligence (XAI)Gene expression and cancer classification

MeSH Terms

Gene ExpressionNeural Networks, Computer

Keywords

AutoencoderENCODEComputer scienceEmbeddingConfoundingArtificial intelligencePattern recognition (psychology)Code (set theory)Encoding (memory)Expression (computer science)Artificial neural networkMachine learningGeneBiologyMathematicsStatisticsGenetics

Adversarial deconfounding autoencoder for learning robust gene expression embeddings

FAIR Checklist

Authors (3)

Funding (6 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)