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The Annals of Applied Statistics|October 17, 2017
A STATISTICAL MODEL TO ASSESS (ALLELE-SPECIFIC) ASSOCIATIONS BETWEEN GENE EXPRESSION AND EPIGENETIC FEATURES USING SEQUENCING DATANaim U Rashid, Wei Sun, Joseph G IbrahimJournal of the American Statistical Association|March 29, 2014
Some Statistical Strategies for DAE-seq Data Analysis: Variable Selection and Modeling Dependencies among ObservationsNaim U Rashid, Wei Sun, Joseph G IbrahimGenome Biology|July 27, 2011
ZINBA integrates local covariates with DNA-seq data to identify broad and narrow regions of enrichment, even within amplified genomic regionsNaim U Rashid, Paul G Giresi, Joseph G Ibrahim, et al.Biometrics|December 18, 2021
Estimating cell type composition using isoform expression one gene at a timeHillary M Heiling, Douglas R Wilson, Naim U Rashid, et al.The Annals of Applied Statistics|August 30, 2021
MODEL-BASED FEATURE SELECTION AND CLUSTERING OF RNA-SEQ DATA FOR UNSUPERVISED SUBTYPE DISCOVERYDavid K Lim, Naim U Rashid, Joseph G IbrahimBiometrics|May 14, 2019
Improved detection of epigenomic marks with mixed-effects hidden Markov modelsPedro L Baldoni, Naim U Rashid, Joseph G IbrahimBiometrics|April 16, 2021
Efficient detection and classification of epigenomic changes under multiple conditionsPedro L Baldoni, Naim U Rashid, Joseph G IbrahimJournal of the American Statistical Association|October 5, 2020
Modeling Between-Study Heterogeneity for Improved Replicability in Gene Signature Selection and Clinical PredictionNaim U Rashid, Quefeng Li, Jen Jen Yeh, et al.The R Journal|May 31, 2024
glmmPen: High Dimensional Penalized Generalized Linear Mixed ModelsHillary M Heiling, Naim U Rashid, Quefeng Li, et al.Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|August 26, 2024
Deeply-Learned Generalized Linear Models with Missing DataDavid K Lim, Naim U Rashid, Junier B Oliva, et al.Pageof 759