Model-based approaches for the detection of biologically active genomic regions from next generation sequencing data. - Naim U. Rashid (2013)

High dimensional precision medicine from patient-derived xenografts. - Naim U. Rashid; Daniel J. Luckett; Jingxiang Chen; Michael T. Lawson; Longshaokan Wang; Yunshu Zhang; Eric B. Laber; Yufeng Liu; Jen Jen Yeh; Donglin Zeng; Michael R. Kosorok (CoRR, 2019)

Compression of quantification uncertainty for scRNA-seq counts. - Scott Van Buren; Hirak Sarkar; Avi Srivastava; Naim U. Rashid; Rob Patro; Michael I. Love (Bioinform., 2021)

Handling Non-ignorably Missing Features in Electronic Health Records Data Using Importance-Weighted Autoencoders. - David K. Lim; Naim U. Rashid; Junier B. Oliva; Joseph G. Ibrahim (CoRR, 2021)

Sub-Cluster Identification through Semi-Supervised Optimization of Rare-Cell Silhouettes (SCISSORS) in single-cell RNA-sequencing. - Jack R. Leary; Yi Xu; Ashley B. Morrison; Chong Jin; Emily C. Shen; Peyton C. Kuhlers; Ye Su; Naim U. Rashid; Jen Jen Yeh; Xianlu Laura Peng (Bioinform., 2023)

Deeply Learned Generalized Linear Models with Missing Data. - David K. Lim; Naim U. Rashid; Junier B. Oliva; Joseph G. Ibrahim (J. Comput. Graph. Stat., 2024)

glmmPen: High Dimensional Penalized Generalized Linear Mixed Models. - Hillary M. Heiling; Naim U. Rashid; Quefeng Li; Joseph G. Ibrahim (R J., 2024)