Machine learning methods for predicting guide RNA effects in CRISPR epigenome editing experiments is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2024). On theSindex it has a DataRank of 0. It has been cited 5 times.
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?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
National Institutes of Health
Grant: 5T32GM008555-13
RESEARCH TRAINING IN CELLULAR AND BIOSURFACE ENGINEERING
National Institutes of Health
Grant: 5R01MH125236-05
Beyond GWAS: High Throughput Functional Genomics & Epigenome Editing to Elucidate the Effects of Genetic Associations for Schizophrenia
National Science Foundation
Grant: 1830957
EFRI CEE : Engineering Technologies to Determine Causal Relationships Between Chromatin Structure and Gene Regulation
National Institutes of Health
Grant: 5R01HG009937-02
A Modular Framework for Accurate, Efficient, and Reproducible Analysis of RNA-Seq Data
National Science Foundation
Grant: 2139754
Graduate Research Fellowship Program (GRFP)
National Institutes of Health
Grant: 5RM1HG011123-03
The Duke FUNCTION Center: Pioneering the comprehensive identification of combinatorial noncoding causes of disease
National Institutes of Health
Grant: 5UM1HG009428-03
Regulatory Mechanisms of CD4+ T Cell Differentiation
National Institutes of Health
Grant: 5R01HG010741-03
Quantifying the genetic diversity of human regulatory element activity
NHGRI NIH HHS
Grant: UM1 HG012053
NHGRI NIH HHS
Grant: R01 HG010741
NHGRI NIH HHS
Grant: R01 HG009937
NHGRI NIH HHS
Grant: RM1 HG011123
NHGRI NIH HHS
Grant: UM1 HG009428
NIMH NIH HHS
Grant: R01 MH125236
NIGMS NIH HHS
Grant: T32 GM144291
NIGMS NIH HHS
Grant: T32 GM008555
Fields of Study
Keywords