Using machine learning approaches for multi-omics data analysis: A review

PS Reel, S Reel, E Pearson, E Trucco… - Biotechnology advances, 2021 - Elsevier
With the development of modern high-throughput omic measurement platforms, it has
become essential for biomedical studies to undertake an integrative (combined) approach to …

[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 …

Multi-omics data integration, interpretation, and its application

I Subramanian, S Verma, S Kumar… - … and biology insights, 2020 - journals.sagepub.com
To study complex biological processes holistically, it is imperative to take an integrative
approach that combines multi-omics data to highlight the interrelationships of the involved …

[HTML][HTML] Cell-of-origin patterns dominate the molecular classification of 10,000 tumors from 33 types of cancer

KA Hoadley, C Yau, T Hinoue, DM Wolf, AJ Lazar… - Cell, 2018 - cell.com
We conducted comprehensive integrative molecular analyses of the complete set of tumors
in The Cancer Genome Atlas (TCGA), consisting of approximately 10,000 specimens and …

Genomic and transcriptomic landscape of triple-negative breast cancers: subtypes and treatment strategies

YZ Jiang, D Ma, C Suo, J Shi, M Xue, X Hu, Y Xiao… - Cancer cell, 2019 - cell.com
We comprehensively analyzed clinical, genomic, and transcriptomic data of a cohort of 465
primary triple-negative breast cancer (TNBC). PIK3CA mutations and copy-number gains of …

Comprehensive and integrative genomic characterization of hepatocellular carcinoma

A Ally, M Balasundaram, R Carlsen, E Chuah, A Clarke… - Cell, 2017 - cell.com
Liver cancer has the second highest worldwide cancer mortality rate and has limited
therapeutic options. We analyzed 363 hepatocellular carcinoma (HCC) cases by whole …

Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets

R Argelaguet, B Velten, D Arnol, S Dietrich… - Molecular systems …, 2018 - embopress.org
Multi‐omics studies promise the improved characterization of biological processes across
molecular layers. However, methods for the unsupervised integration of the resulting …

Machine learning for multi-omics data integration in cancer

Z Cai, RC Poulos, J Liu, Q Zhong - Iscience, 2022 - cell.com
Multi-omics data analysis is an important aspect of cancer molecular biology studies and
has led to ground-breaking discoveries. Many efforts have been made to develop machine …

Intertumoral heterogeneity within medulloblastoma subgroups

FMG Cavalli, M Remke, L Rampasek, J Peacock… - Cancer cell, 2017 - cell.com
While molecular subgrouping has revolutionized medulloblastoma classification, the extent
of heterogeneity within subgroups is unknown. Similarity network fusion (SNF) applied to …

Whole-genome and epigenomic landscapes of etiologically distinct subtypes of cholangiocarcinoma

A Jusakul, I Cutcutache, CH Yong, JQ Lim, MN Huang… - Cancer discovery, 2017 - AACR
Cholangiocarcinoma (CCA) is a hepatobiliary malignancy exhibiting high incidence in
countries with endemic liver-fluke infection. We analyzed 489 CCAs from 10 countries …