Machine learning-optimized targeted detection of alternative splicing is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2024). On theSindex it has a DataRank of 0.269. It has been cited 5 times.
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Base Score Contribution
0.269
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 Institutes of Health
Grant: 1DP2GM146251-01
Exploring hidden determinants of splicing with genome-targeted proximity labeling
National Institutes of Health
Grant: 5R01GM128096-04
Methods for RNA splicing variations detection, quantification, visualization, and association from large heterogeneous datasets
National Institutes of Health
Grant: 5R01LM013437-04
Methods for improving clinical diagnostic by detection, prediction, interpretation and prioritization of aberrant transcriptome variations
National Institutes of Health
Grant: 5R00CA208028-04
Investigating the role of RBM10-regulated alternative splicing in lung tumorigenesis
NIGMS NIH HHS
Grant: DP2 GM146251
NCI NIH HHS
Grant: R00 CA208028
NIGMS NIH HHS
Grant: R01 GM128096
NLM NIH HHS
Grant: R01 LM013437
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