Modularity in biological networks

SA Alcalá-Corona, S Sandoval-Motta… - Frontiers in …, 2021 - frontiersin.org
Network modeling, from the ecological to the molecular scale has become an essential tool
for studying the structure, dynamics and complex behavior of living systems. Graph …

Identification of potential crucial genes and key pathways shared in Inflammatory Bowel Disease and cervical cancer by machine learning and integrated …

TB Nguyen, DN Do, ML Nguyen-Thi… - Computers in Biology …, 2022 - Elsevier
Abstract Background Recently, Inflammatory Bowel Disease (IBD) has been proven as a risk
factor for the increasing incidence of cervical cancer (CC) development. In this study, we …

An ensemble soft weighted gene selection-based approach and cancer classification using modified metaheuristic learning

N Tavasoli, K Rezaee, M Momenzadeh… - Journal of …, 2021 - academic.oup.com
Hybrid algorithms are effective methods for solving optimization problems that rarely have
been used in the gene selection procedure. This paper introduces a novel modified model …

Deep generative learning-based 1-SVM detectors for unsupervised COVID-19 infection detection using blood tests

A Dairi, F Harrou, Y Sun - IEEE Transactions on Instrumentation …, 2021 - ieeexplore.ieee.org
A sample blood test has recently become an important tool to help identify false-
positive/false-negative real-time reverse transcription polymerase chain reaction (rRT-PCR) …

Integrated analysis of WGCNA and machine learning identified diagnostic biomarkers in dilated cardiomyopathy with heart failure

Y Zhu, X Yang, Y Zu - Frontiers in Cell and Developmental Biology, 2022 - frontiersin.org
The etiologies and pathogenesis of dilated cardiomyopathy (DCM) with heart failure (HF)
remain to be defined. Thus, exploring specific diagnosis biomarkers and mechanisms is …

Identification of five hub genes as key prognostic biomarkers in liver cancer via integrated bioinformatics analysis

TB Nguyen, DN Do, T Nguyen-Thanh, VB Tatipamula… - Biology, 2021 - mdpi.com
Simple Summary Liver cancer is one of the most common cancers; however, the molecular
mechanisms of liver tumorigenesis and progression are not completely understood. In the …

Bioinformatics screening of colorectal-cancer causing molecular signatures through gene expression profiles to discover therapeutic targets and candidate agents

MA Horaira, MA Islam, MK Kibria, MJ Alam… - BMC Medical …, 2023 - Springer
Background Detection of appropriate receptor proteins and drug agents are equally
important in the case of drug discovery and development for any disease. In this study, an …

Application of artificial intelligence for medical research

R Hamamoto - Biomolecules, 2021 - mdpi.com
The Human Genome Project, completed in 2003 by an international consortium, is
considered one of the most important achievements for mankind in the 21st century [1]. With …

A novel feature selection algorithm for identifying hub genes in lung cancer

TIA Mohamed, AE Ezugwu, JV Fonou-Dombeu… - Scientific Reports, 2023 - nature.com
Lung cancer, a life-threatening disease primarily affecting lung tissue, remains a significant
contributor to mortality in both developed and developing nations. Accurate biomarker …

Identification of potential diagnostic biomarkers and therapeutic targets for endometriosis based on bioinformatics and machine learning analysis

M Hosseini, B Hammami, M Kazemi - Journal of Assisted Reproduction …, 2023 - Springer
Abstract Purpose Endometriosis (EMs) is a major gynecological condition in women. Due to
the absence of definitive symptoms, its early detection is very challenging; thus, it is crucial …