Embeddings of genomic region sets capture rich biological associations in lower dimensions is a research paper published in Bioinformatics (2021). On theSindex it has a DataRank of 0. It has been cited 33 times.
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National Science Foundation
Grant: OAC-1934600
NIGMS NIH HHS
Grant: R35 GM128636
National Institutes of Health
Grant: GM128636
NCATS NIH HHS
Grant: UL1 TR003015
National Science Foundation
Grant: IIS-1955151
FWCI
2.22
Citation Percentile
0.9%
Citation Trend
Fields of Study
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Keywords
Additional file 1 of Evaluation of the role of atherogenic index of plasma in the reversion from Prediabetes to normoglycemia or progression to Diabetes: a multi-center retrospective cohort study
Additional file 1 of Evaluation of the role of atherogenic index of plasma in the reversion from Prediabetes to normoglycemia or progression to Diabetes: a multi-center retrospective cohort study
Additional file 2 of Evaluation of the role of atherogenic index of plasma in the reversion from Prediabetes to normoglycemia or progression to Diabetes: a multi-center retrospective cohort study
Additional file 2 of Evaluation of the role of atherogenic index of plasma in the reversion from Prediabetes to normoglycemia or progression to Diabetes: a multi-center retrospective cohort study
Additional file 1 of Relative importance of triglyceride glucose index combined with body mass index in predicting recovery from prediabetic state to normal fasting glucose: a cohort analysis based on a Chinese physical examination population
Additional file 1 of Relative importance of triglyceride glucose index combined with body mass index in predicting recovery from prediabetic state to normal fasting glucose: a cohort analysis based on a Chinese physical examination population
Additional file 2 of Relative importance of triglyceride glucose index combined with body mass index in predicting recovery from prediabetic state to normal fasting glucose: a cohort analysis based on a Chinese physical examination population
Additional file 2 of Relative importance of triglyceride glucose index combined with body mass index in predicting recovery from prediabetic state to normal fasting glucose: a cohort analysis based on a Chinese physical examination population