Biomedizinische Datenwissenschaft und Maschinelles Lernen bei neurodegenerativen Erkrankungen
Dr. Vikas Bansal
Career Development Fellow
Publikationen
Die vollständige Publikationsliste findet man hier.
Marouf M, Machart P, Bansal V, Kilian C, Magruder DS, Krebs CF, Bonn S. Realistic in silico generation and augmentation of single-cell RNA-seq data using generative adversarial networks. Nature Communications. 2020 Jan 09;
11:1-2.
doi: 10.1038/s41467-019-14018-z
Kaczmarczyk L, Bansal V, Rajput A, Rahman RU, Krzyżak W, Degen J, Poll S, Fuhrmann M, Bonn S, Jackson WS. Tagger—A Swiss army knife for multiomics to dissect cell type–specific mechanisms of gene expression in mice. PLoS Biology. 2019 Aug 08;
17:e3000374.
doi: 10.1371/journal.pbio.3000374
Bansal V, Mitjans M, Burik CA, Linner RK, Okbay A, Rietveld CA, Begemann M, Bonn S, Ripke S, de Vlaming R, Nivard MG. Genome-wide association study results for educational attainment aid in identifying genetic heterogeneity of schizophrenia. Nature communications. 2018 Aug 06;
9:1-2.
doi: 10.1038/s41467-018-05510-z
Bansal V, Cui H, Grunert M, Malecova B, Dall'Agnese A, Latella L, Gatto S, Ryan T, Schulz K, Chen W, Dorn C. Muscle-relevant genes marked by stable H3K4me2/3 profiles and enriched MyoD binding during myogenic differentiation. PLoS One. 2017 Jun 13;
12:e0179464.
doi: 10.1371/journal.pone.0179464
Bansal V, Dorn C, Grunert M, Klaassen S, Hetzer R, Berger F, Sperling SR. Outlier-based identification of copy number variations using targeted resequencing in a small cohort of patients with Tetralogy of Fallot. PLoS One. 2014 Jan 06;
9:e85375.
doi: 10.1371/journal.pone.0085375