Naim Rashid, Ph.D.
Affiliations: | 2013 | Biostatistics | University of North Carolina, Chapel Hill, Chapel Hill, NC |
Area:
Biostatistics Biology, Bioinformatics BiologyGoogle:
"Naim Rashid"Parents
Sign in to add mentorJoseph G. Ibrahim | grad student | 2013 | UNC Chapel Hill | |
(Model-based approaches for the detection of biologically active genomic regions from next generation sequencing data.) |
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Publications
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Heiling HM, Rashid NU, Li Q, et al. (2024) Efficient computation of high-dimensional penalized generalized linear mixed models by latent factor modeling of the random effects. Biometrics. 80 |
Heiling HM, Wilson DR, Rashid NU, et al. (2021) Estimating Cell Type Composition using Isoform Expression One Gene at a Time. Biometrics |
Lim DK, Rashid NU, Ibrahim JG. (2021) MODEL-BASED FEATURE SELECTION AND CLUSTERING OF RNA-SEQ DATA FOR UNSUPERVISED SUBTYPE DISCOVERY. The Annals of Applied Statistics. 15: 481-508 |
Baldoni PL, Rashid NU, Ibrahim JG. (2021) Efficient detection and classification of epigenomic changes under multiple conditions. Biometrics |
Rashid NU, Li Q, Yeh JJ, et al. (2020) Modeling Between-Study Heterogeneity for Improved Replicability in Gene Signature Selection and Clinical Prediction. Journal of the American Statistical Association. 115: 1125-1138 |
Feng W, Simpson DA, Carvajal-Garcia J, et al. (2019) Genetic determinants of cellular addiction to DNA polymerase theta. Nature Communications. 10: 4286 |
Wrobel JA, Xie L, Wang L, et al. (2019) Multi-omic Dissection of Oncogenically Active Epiproteomes Identifies Drivers of Proliferative and Invasive Breast Tumors. Iscience. 17: 359-378 |
Baldoni PL, Rashid NU, Ibrahim JG. (2019) Improved Detection of Epigenomic Marks With Mixed Effects Hidden Markov Models. Biometrics |
Yang Y, Adebali O, Wu G, et al. (2018) Cisplatin-DNA adduct repair of transcribed genes is controlled by two circadian programs in mouse tissues. Proceedings of the National Academy of Sciences of the United States of America |
Tran AQ, Sullivan SA, McCabe SD, et al. (2018) Relationship between body mass index (BMI) and gene expression profiles of cervical cancer in the cancer genome atlas (TCGA) project Gynecologic Oncology. 149: 228 |