A hybrid constrained continuous optimization approach for optimal causal discovery from biological data

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Publication Details

Journal
Bioinformatics
Published
2024-09-01
DOI
https://doi.org/10.1093/bioinformatics/btae411
Citations
5
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
1.17

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article

A hybrid constrained continuous optimization approach for optimal causal discovery from biological data

Maria D. Chikina, Panayiotis V. Benos, Yuehua Zhu
5 citations
Bioinformatics
Gene Regulatory Network Analysis
1.17
article

A hybrid constrained continuous optimization approach for optimal causal discovery from biological data

Maria D. Chikina, Panayiotis V. Benos, Yuehua Zhu
article en
5 citations

Abstract

No abstract available for this paper.
BioinformaticsVol. 40(Supplement_2)
University of Pittsburgh (US), University of Florida (US), Tsinghua University (CN)
National Science Foundation, National Institutes of Health
Responsible consumption and production
Openalex Percentile: Top 22%
Gene Regulatory Network Analysis
1.17
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