Latent tuberculosis and computational biology: A less-talked affair
Tuberculosis (TB) is a pervasive and devastating air-borne disease caused by the
organisms belonging to the Mycobacterium tuberculosis (Mtb) complex. Currently, it is the …
organisms belonging to the Mycobacterium tuberculosis (Mtb) complex. Currently, it is the …
RNA‐Seq‐Based Breast Cancer Subtypes Classification Using Machine Learning Approaches
Z Yu, Z Wang, X Yu, Z Zhang - Computational intelligence and …, 2020 - Wiley Online Library
Background. Breast invasive carcinoma (BRCA) is not a single disease as each subtype has
a distinct morphology structure. Although several computational methods have been …
a distinct morphology structure. Although several computational methods have been …
Stage-specific coexpression network analysis of Myc in cohorts of renal cancer
The present study investigates the molecular dynamics of Myc in normal precursors and in
different stages (I/II/III/IV) of cohorts of renal cancer using two distinct yet complementary …
different stages (I/II/III/IV) of cohorts of renal cancer using two distinct yet complementary …
[HTML][HTML] Changes in gene-gene interactions associated with cancer onset and progression are largely independent of changes in gene expression
Z Arshad, JF McDonald - Iscience, 2021 - cell.com
Recent findings indicate that changes underlying cancer onset and progression are not only
attributable to changes in DNA structure and expression of individual genes but to changes …
attributable to changes in DNA structure and expression of individual genes but to changes …
A transfer learning-based novel fusion convolutional neural network for breast cancer histology classification
To train a convolutional neural network (CNN) from scratch is not suitable for medical image
tasks with insufficient data. Benefiting from the transfer learning, the pre-trained CNN model …
tasks with insufficient data. Benefiting from the transfer learning, the pre-trained CNN model …
Gene co-expression in breast cancer: A matter of distance
A González-Espinoza, J Zamora-Fuentes… - Frontiers in …, 2021 - frontiersin.org
Gene regulatory and signaling phenomena are known to be relevant players underlying the
establishment of cellular phenotypes. It is also known that such regulatory programs are …
establishment of cellular phenotypes. It is also known that such regulatory programs are …
Cytosporone E analogues as BRD4 inhibitors for cancer treatment: molecular docking and molecular dynamic investigations
AA Makki, W Ibraheem, AA Alzain - Journal of Biomolecular …, 2023 - Taylor & Francis
Cancer is considered one of the worldwide life-threatening and leading causes of human
mortality. In 2020, 19,292,789 cancer cases and 9,958,133 cancer deaths have been …
mortality. In 2020, 19,292,789 cancer cases and 9,958,133 cancer deaths have been …
Molecular subtyping of cancer based on distinguishing co-expression modules and machine learning
Molecular subtyping of cancer is recognized as a critical and challenging step towards
individualized therapy. Most existing computational methods solve this problem via multi …
individualized therapy. Most existing computational methods solve this problem via multi …
Gene coexpression network analysis identifies hubs in hepatitis B virus–associated hepatocellular carcinoma
SY Wang, YH Huang, YJ Liang… - Journal of the Chinese …, 2022 - journals.lww.com
Background: Hepatocellular carcinoma (HCC) is among the leading causes of cancer-
related death worldwide. The molecular pathogenesis of HCC involves multiple signaling …
related death worldwide. The molecular pathogenesis of HCC involves multiple signaling …
基于铜死亡相关基因的肾透明细胞癌中预后模型的构建与应用
张保朝， 丁梦， 纪长威， 张青， 郭宏骞 - 临床泌尿外科杂志, 2023 - lcmw.whuhzzs.com
目的研究铜死亡相关基因(cuproposis-related genes, CRGs) 在肾透明细胞癌(clear cell renal
cell carcinoma, ccRCC) 中的表达情况, 构建预后模型并探讨其临床意义. 方法从TCGA …
cell carcinoma, ccRCC) 中的表达情况, 构建预后模型并探讨其临床意义. 方法从TCGA …