Andrey A. Shabalin, Ph.D.
Affiliations: | 2010 | Statistics | University of North Carolina, Chapel Hill, Chapel Hill, NC |
Area:
Statistics, Bioinformatics BiologyGoogle:
"Andrey Shabalin"Parents
Sign in to add mentor| Andrew Nobel | grad student | 2010 | UNC Chapel Hill | |
| (Detection of low rank signals in noise and fast correlation mining with applications to large biological data.) | ||||
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Publications
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| Guintivano J, Shabalin AA, Chan RF, et al. (2020) Test-statistic inflation in methylome-wide association studies. Epigenetics. 1-4 |
| Clark SL, Hattab MW, Chan RF, et al. (2019) A methylation study of long-term depression risk. Molecular Psychiatry |
| Chan RF, Shabalin AA, Montano C, et al. (2019) Independent Methylome-Wide Association Studies of Schizophrenia Detect Consistent Case-Control Differences. Schizophrenia Bulletin |
| Anderson J, Shabalin A, Shade J, et al. (2019) SA91A GENOME-WIDE ASSOCIATION STUDY OF COMPLETED SUICIDE IN UTAH European Neuropsychopharmacology. 29: S1238 |
| DiBlasi E, Li Q, Anderson J, et al. (2019) 66Analyses Of Disease-Associated And Likely Functional Variants From Psycharray Implicate Genes Involved In Risk For Completed Suicide European Neuropsychopharmacology. 29 |
| McClay J, Shabalin A. (2019) SEQUENCE MOTIF AND PROTEIN DOMAIN ENRICHMENT ANALYSIS OF PSYCHIATRIC GWAS FINDINGS European Neuropsychopharmacology. 29: S943 |
| Aberg K, Dean B, Shabalin A, et al. (2019) METHYLOME-WIDE ASSOCIATION STUDIES FOR MAJOR DEPRESSIVE DISORDER IN BLOOD OVERLAP WITH METHYLATION RESULTS FROM BRAIN AND LARGE-SCALE GWAS European Neuropsychopharmacology. 29: S807-S808 |
| Clark S, Hattab M, Shabalin A, et al. (2019) PREDICTING THE FUTURE DISEASE STATUS OF DEPRESSED PATIENTS FROM DNA METHYLATION PATTERNS IN BLOOD European Neuropsychopharmacology. 29: S793-S794 |
| Coon H, Darlington TM, DiBlasi E, et al. (2018) Genome-wide significant regions in 43 Utah high-risk families implicate multiple genes involved in risk for completed suicide. Molecular Psychiatry |
| Aberg KA, Dean B, Shabalin AA, et al. (2018) Methylome-wide association findings for major depressive disorder overlap in blood and brain and replicate in independent brain samples. Molecular Psychiatry |