[HTML][HTML] Integration strategies of multi-omics data for machine learning analysis

M Picard, MP Scott-Boyer, A Bodein, O Périn… - Computational and …, 2021 - Elsevier
Increased availability of high-throughput technologies has generated an ever-growing
number of omics data that seek to portray many different but complementary biological …

Unsupervised multi-omics data integration methods: a comprehensive review

N Vahabi, G Michailidis - Frontiers in genetics, 2022 - frontiersin.org
Through the developments of Omics technologies and dissemination of large-scale
datasets, such as those from The Cancer Genome Atlas, Alzheimer's Disease Neuroimaging …

Computational approaches for network-based integrative multi-omics analysis

FE Agamah, JR Bayjanov, A Niehues… - Frontiers in Molecular …, 2022 - frontiersin.org
Advances in omics technologies allow for holistic studies into biological systems. These
studies rely on integrative data analysis techniques to obtain a comprehensive view of the …

Association predictions of genomics, proteinomics, transcriptomics, microbiome, metabolomics, pathomics, radiomics, drug, symptoms, environment factor, and …

Y Pan, X Lei, Y Zhang - Medicinal research reviews, 2022 - Wiley Online Library
Currently, the research of multi‐omics, such as genomics, proteinomics, transcriptomics,
microbiome, metabolomics, pathomics, and radiomics, are hot spots. The relationship …

[HTML][HTML] Effect of Hilbert-Huang transform on classification of PCG signals using machine learning

Ö Arslan, M Karhan - Journal of King Saud University-Computer and …, 2022 - Elsevier
Heartbeat sounds are biological signals used in the early diagnosis of cardiovascular
diseases. Digital heartbeat sound recordings, called phonocardiogram (PCG), are used in …

Machine learning-integrated omics for the risk and safety assessment of nanomaterials

F Ahmad, A Mahmood, T Muhmood - Biomaterials science, 2021 - pubs.rsc.org
With the advancement in nanotechnology, we are experiencing transformation in world
order with deep insemination of nanoproducts from basic necessities to advanced …

Network-based multi-omics integration reveals metabolic at-risk profile within treated HIV-infection

F Mikaeloff, M Gelpi, R Benfeitas, AD Knudsen… - Elife, 2023 - elifesciences.org
Multiomics technologies improve the biological understanding of health status in people
living with HIV on antiretroviral therapy (PWH). Still, a systematic and in-depth …

A denoised multi-omics integration framework for cancer subtype classification and survival prediction

J Pang, B Liang, R Ding, Q Yan… - Briefings in …, 2023 - academic.oup.com
The availability of high-throughput sequencing data creates opportunities to
comprehensively understand human diseases as well as challenges to train machine …

Similarity network fusion for the integration of multi-omics and microbiomes in respiratory disease

JK Narayana, M Mac Aogáin, NABM Ali… - European …, 2021 - Eur Respiratory Soc
Similarity network fusion (SNF) is increasingly employed for multi-omics and microbiome
data integration and assists patient endotyping. This Methods article describes its …

Integrated multiplex network based approach for hub gene identification in oral cancer

S Mahapatra, R Bhuyan, J Das, T Swarnkar - Heliyon, 2021 - cell.com
Abstract Background: The incidence of Oral Cancer (OC) is high in Asian countries, which
goes undetected at its early stage. The study of genetics, especially genetic networks holds …