A network analysis to identify lung cancer comorbid diseases

HC Rustamaji, YS Suharini, AA Permana… - Applied Network …, 2022 - Springer
Cancer patients with comorbidities face various life problems, health costs, and quality of
life. Therefore, determining comorbid diseases would significantly affect the treatment of …

Molecular characterization of the highest risk adult patients with acute myeloid leukemia (AML) through multi-omics clustering

T Nguyen, JW Pepper, C Nguyen, Y Fan, Y Hu… - Frontiers in …, 2021 - frontiersin.org
Background: Acute myeloid leukemia (AML) is a clinically heterogeneous group of cancers.
While some patients respond well to chemotherapy, we describe here a subgroup with …

oCEM: Automatic detection and analysis of overlap** co-expressed gene modules

QH Nguyen, DH Le - BMC genomics, 2022 - Springer
Background When it comes to the co-expressed gene module detection, its typical
challenges consist of overlap between identified modules and local co-expression in a …

[LIBRO][B] Novel Techniques for Single-cell RNA Sequencing Data Imputation and Clustering

BS Tran - 2023 - search.proquest.com
Advances in single-cell technologies have shifted genomics research from the analysis of
bulk tissues toward a comprehensive characterization of individual cells. These cutting-edge …