[HTML][HTML] Current advances in noninvasive methods for the diagnosis of oral squamous cell carcinoma: a review

S Wang, M Yang, R Li, J Bai - European journal of medical research, 2023 - Springer
Oral squamous cell carcinoma (OSCC), one of the most common types of cancers
worldwide, is diagnosed mainly through tissue biopsy. However, owing to the tumor …

[HTML][HTML] A systematic review of artificial intelligence techniques for oral cancer detection

C Kavyashree, HS Vimala, J Shreyas - Healthcare Analytics, 2024 - Elsevier
Oral cancer is a form of cancer that develops in the tissue of an oral cavity. Detection at an
early stage is necessary to prevent the mortality rate in cancer patients. Artificial intelligence …

MYH7 in cardiomyopathy and skeletal muscle myopathy

Y Gao, L Peng, C Zhao - Molecular and Cellular Biochemistry, 2024 - Springer
Myosin heavy chain gene 7 (MYH7), a sarcomeric gene encoding the myosin heavy chain
(myosin-7), has attracted considerable interest as a result of its fundamental functions in …

[HTML][HTML] aiGeneR 1.0: An Artificial Intelligence Technique for the Revelation of Informative and Antibiotic Resistant Genes in Escherichia coli

DSK Nayak, S Mahapatra, SP Routray… - Frontiers in Bioscience …, 2024 - imrpress.com
Background: There are several antibiotic resistance genes (ARG) for the Escherichia coli (E.
coli) bacteria that cause urinary tract infections (UTI), and it is therefore important to identify …

[HTML][HTML] From Data to Cure: A Comprehensive Exploration of Multi-omics Data Analysis for Targeted Therapies

A Mukherjee, S Abraham, A Singh, S Balaji… - Molecular …, 2024 - Springer
In the dynamic landscape of targeted therapeutics, drug discovery has pivoted towards
understanding underlying disease mechanisms, placing a strong emphasis on molecular …

[HTML][HTML] PLEX. I: a tool to discover features in multiplex networks that reflect clinical variation

B Yousefi, F Firoozbakht, F Melograna… - Frontiers in …, 2023 - frontiersin.org
Molecular profiling technologies, such as RNA sequencing, offer new opportunities to better
discover and understand the molecular networks involved in complex biological processes …

Machine learning and integrative multi-omics network analysis for survival prediction in acute myeloid leukemia

Α Kosvyra, Α Karadimitris, Μ Papaioannou… - Computers in Biology …, 2024 - Elsevier
Background Acute myeloid leukemia (AML) is the most common malignant myeloid disorder
in adults and the fifth most common malignancy in children, necessitating advanced …

Are trait‐associated genes clustered together in a gene network?

HJ Koo, W Pan - Genetic epidemiology, 2024 - Wiley Online Library
Genome‐wide association studies (GWAS) have provided an abundance of information
about the genetic variants and their loci that are associated to complex traits and diseases …

[HTML][HTML] In silico based analysis to explore genetic linkage between atherosclerosis and its potential risk factors

HM Hridoy, MN Haidar, C Khatun, A Sarker… - … and Biophysics Reports, 2023 - Elsevier
Atherosclerosis (ATH) is a chronic cardiovascular disease characterized by plaque
formation in arteries, and it is a major cause of illness and death. Although therapeutic …

[HTML][HTML] Identifying tumor-associated genes from Bilayer networks of DNA methylation sites and RNAs

XJ Xu, HX Gao, LC Zhu, R Zhu - Life, 2022 - mdpi.com
Network theory has attracted much attention from the biological community because of its
high efficacy in identifying tumor-associated genes. However, most researchers have …