Sorin Draghici
Affiliations: | Wayne State University, Detroit, MI, United States |
Area:
Computer ScienceGoogle:
"Sorin Draghici"Children
Sign in to add traineePurvesh Khatri | grad student | 2006 | Wayne State |
Bogdan Done | grad student | 2009 | Wayne State |
Nadeem A. Ansari | grad student | 2010 | Wayne State |
Calin Voichita | grad student | 2013 | Wayne State |
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Publications
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Nguyen TM, Craig DB, Tran D, et al. (2023) A novel approach for predicting upstream regulators (PURE) that affect gene expression. Scientific Reports. 13: 18571 |
Nguyen H, Tran D, Galazka JM, et al. (2021) CPA: a web-based platform for consensus pathway analysis and interactive visualization. Nucleic Acids Research |
Saberian N, Shafi A, Peyvandipour A, et al. (2020) MAGPEL: an autoMated pipeline for inferring vAriant-driven Gene PanEls from the full-length biomedical literature. Scientific Reports. 10: 12365 |
Peyvandipour A, Shafi A, Saberian N, et al. (2020) Identification of cell types from single cell data using stable clustering. Scientific Reports. 10: 12349 |
Mitrea C, Bollig-Fischer A, Voichiţa C, et al. (2020) Detecting qualitative changes in biological systems. Scientific Reports. 10: 8146 |
Nguyen T, Shafi A, Nguyen TM, et al. (2020) NBIA: a network-based integrative analysis framework - applied to pathway analysis. Scientific Reports. 10: 4188 |
Szilagyi A, Gelencser Z, Romero R, et al. (2020) Placenta-Specific Genes, Their Regulation During Villous Trophoblast Differentiation and Dysregulation in Preterm Preeclampsia. International Journal of Molecular Sciences. 21 |
Nguyen TM, Shafi A, Nguyen T, et al. (2019) Correction to: Identifying significantly impacted pathways: a comprehensive review and assessment. Genome Biology. 20: 234 |
Nguyen TM, Shafi A, Nguyen T, et al. (2019) Identifying significantly impacted pathways: a comprehensive review and assessment. Genome Biology. 20: 203 |
Shafi A, Nguyen T, Peyvandipour A, et al. (2019) GSMA: an approach to identify robust global and test Gene Signatures using Meta-Analysis. Bioinformatics (Oxford, England) |