Using machine learning approaches for multi-omics data analysis: A review
With the development of modern high-throughput omic measurement platforms, it has
become essential for biomedical studies to undertake an integrative (combined) approach to …
become essential for biomedical studies to undertake an integrative (combined) approach to …
[HTML][HTML] Integration strategies of multi-omics data for machine learning analysis
Increased availability of high-throughput technologies has generated an ever-growing
number of omics data that seek to portray many different but complementary biological …
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 …
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 …
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 …
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 …
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
Multi‐omics studies promise the improved characterization of biological processes across
molecular layers. However, methods for the unsupervised integration of the resulting …
molecular layers. However, methods for the unsupervised integration of the resulting …
Machine learning for multi-omics data integration in cancer
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 …
has led to ground-breaking discoveries. Many efforts have been made to develop machine …
Intertumoral heterogeneity within medulloblastoma subgroups
While molecular subgrouping has revolutionized medulloblastoma classification, the extent
of heterogeneity within subgroups is unknown. Similarity network fusion (SNF) applied to …
of heterogeneity within subgroups is unknown. Similarity network fusion (SNF) applied to …
Whole-genome and epigenomic landscapes of etiologically distinct subtypes of cholangiocarcinoma
Cholangiocarcinoma (CCA) is a hepatobiliary malignancy exhibiting high incidence in
countries with endemic liver-fluke infection. We analyzed 489 CCAs from 10 countries …
countries with endemic liver-fluke infection. We analyzed 489 CCAs from 10 countries …