Review of feature selection approaches based on grouping of features

C Kuzudisli, B Bakir-Gungor, N Bulut, B Qaqish… - PeerJ, 2023 - peerj.com
With the rapid development in technology, large amounts of high-dimensional data have
been generated. This high dimensionality including redundancy and irrelevancy poses a …

A toolbox of machine learning software to support microbiome analysis

LJ Marcos-Zambrano, VM López-Molina… - Frontiers in …, 2023 - frontiersin.org
The human microbiome has become an area of intense research due to its potential impact
on human health. However, the analysis and interpretation of this data have proven to be …

Machine learning–based feature selection to search stable microbial biomarkers: application to inflammatory bowel disease

Y Lee, M Cappellato, B Di Camillo - GigaScience, 2023 - academic.oup.com
Background Biomarker discovery exploiting feature importance of machine learning has
risen recently in the microbiome landscape with its high predictive performance in several …

[Retracted] PSO‐Based Evolutionary Approach to Optimize Head and Neck Biomedical Image to Detect Mesothelioma Cancer

S Praveen, N Tyagi, B Singh, GR Karetla… - BioMed Research …, 2022 - Wiley Online Library
Mesothelioma is a form of cancer that is aggressive and fatal. It is a thin layer of tissue that
covers the majority of the patient's internal organs. The treatments are available; however, a …

Identification of useful genes from multiple microarrays for ulcerative colitis diagnosis based on machine learning methods

L Zhang, R Mao, CT Lau, WC Chung, JCP Chan… - Scientific reports, 2022 - nature.com
Ulcerative colitis (UC) is a chronic relapsing inflammatory bowel disease with an increasing
incidence and prevalence worldwide. The diagnosis for UC mainly relies on clinical …

How Diet and Lifestyle Can Fine-Tune Gut Microbiomes for Healthy Aging

M Tamayo, M Olivares, P Ruas-Madiedo… - Annual review of …, 2024 - annualreviews.org
Many physical, social, and psychological changes occur during aging that raise the risk of
developing chronic diseases, frailty, and dependency. These changes adversely affect the …

Identifying microbial signatures for patients with postmenopausal osteoporosis using gut microbiota analyses and feature selection approaches

D Huang, J Wang, Y Zeng, Q Li, Y Wang - Frontiers in microbiology, 2023 - frontiersin.org
Osteoporosis (OP) is a metabolic bone disorder characterized by low bone mass and
deterioration of micro-architectural bone tissue. The most common type of OP is …

[HTML][HTML] A comprehensive overview of microbiome data in the light of machine learning applications: categorization, accessibility, and future directions

B Kumar, E Lorusso, B Fosso, G Pesole - Frontiers in Microbiology, 2024 - frontiersin.org
Metagenomics, Metabolomics, and Metaproteomics have significantly advanced our
knowledge of microbial communities by providing culture-independent insights into their …

[HTML][HTML] Deciphering the gut microbiome: The revolution of artificial intelligence in microbiota analysis and intervention

M Abavisani, SK Foroushan, N Ebadpour… - Current Research in …, 2024 - Elsevier
The human gut microbiome is an intricate ecosystem with profound implications for host
metabolism, immune function, and neuroendocrine activity. Over the years, studies have …

From-toilet-to-freezer: a review on requirements for an automatic protocol to collect and store human fecal samples for research purposes

F Widjaja, IMCM Rietjens - Biomedicines, 2023 - mdpi.com
The composition, viability and metabolic functionality of intestinal microbiota play an
important role in human health and disease. Studies on intestinal microbiota are often based …