Bayesian identification of differentially expressed isoforms using a novel joint model of RNA-seq data is a research paper published in PLoS Computational Biology (2025). On theSindex it has a DataRank of 0.104. It has been cited 1 time.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.104
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Cancer Institute
Grant: CA149653
National Cancer Institute
Grant: CA164384
National Cancer Institute
Grant: CA149147 & CA184902
National Institute of General Medical Sciences
Grant: GM125878
NCI NIH HHS
Grant: R01 CA149653
NCI NIH HHS
Grant: R01 CA164384
NCI NIH HHS
Grant: U54 CA149147
NCI NIH HHS
Grant: U01 CA184902
NIGMS NIH HHS
Grant: R01 GM125878
National Institutes of Health
Grant: 1R01CA164384-01A1
Transgenerational effects of maternal high fat diet during pregnancy on breast ca
National Institutes of Health
Grant: 5U54CA149147-02
Admin Core
National Institutes of Health
Grant: 1R01CA149653-01A1
Uncovering Estrogen Receptor-Signaling Networks to Overcome Endocrine Resistance
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