Combining artificial intelligence: deep learning with Hi-C data to predict the functional effects of non-coding variants is a research paper published in Bioinformatics (2020). On theSindex it has a DataRank of 0. It has been cited 15 times.
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Natural Science Foundation of China
Grant: 81570807
Natural Science Foundation of China
Grant: 30900810
Natural Science Foundation of China
Grant: 31271344
Natural Science Foundation of China
Grant: 31071097
National Institutes of Health
Grant: R01 AR069055
National Institutes of Health
Grant: U19 AG055373
National Institutes of Health
Grant: R01 MH104680
National Institutes of Health
Grant: R01 AR059781
National Institutes of Health
Grant: P20 GM109036
National Institutes of Health
Grant: 5R01MH104680-03
Integration of brain imaging with genomic and epigenomic data
National Institutes of Health
Grant: 5R01AR059781-02
Epigenomewide DNA Methylation Study for Osteoporosis Risk
National Institutes of Health
Grant: 1R01AR069055-01A1
Decoding Methylation Mediated Epigenomic Contributions to Male Osteoporosis
National Institutes of Health
Grant: 5P20GM109036-05
Tulane COBRE for Clinical and Translational Research in Cardiometabolic Diseases
National Institutes of Health
Grant: 5U19AG055373-04
Trans-omics integration of multi-omics studies for male osteoporosis
Edward G. Schlieder Endowment
Hunan Normal University
FWCI
1.54
Citation Percentile
0.8%
Citation Trend
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