[HTML][HTML] Machine learning: a new prospect in multi-omics data analysis of cancer

B Arjmand, SK Hamidpour, A Tayanloo-Beik… - Frontiers in …, 2022 - frontiersin.org
Cancer is defined as a large group of diseases that is associated with abnormal cell growth,
uncontrollable cell division, and may tend to impinge on other tissues of the body by different …

[HTML][HTML] Artificial intelligence (AI)-based systems biology approaches in multi-omics data analysis of cancer

N Biswas, S Chakrabarti - Frontiers in Oncology, 2020 - frontiersin.org
Cancer is the manifestation of abnormalities of different physiological processes involving
genes, DNAs, RNAs, proteins, and other biomolecules whose profiles are reflected in …

[HTML][HTML] Multi-omics approaches in cancer research with applications in tumor subtyping, prognosis, and diagnosis

O Menyhárt, B Győrffy - Computational and structural biotechnology journal, 2021 - Elsevier
While cost-effective high-throughput technologies provide an increasing amount of data, the
analyses of single layers of data seldom provide causal relations. Multi-omics data …

Artificial intelligence-based multi-omics analysis fuels cancer precision medicine

X He, X Liu, F Zuo, H Shi, J Jing - Seminars in Cancer Biology, 2023 - Elsevier
With biotechnological advancements, innovative omics technologies are constantly
emerging that have enabled researchers to access multi-layer information from the genome …

The crucial role of multiomic approach in cancer research and clinically relevant outcomes

M Lu, X Zhan - EPMA Journal, 2018 - Springer
Cancer with heavily economic and social burden is the hot point in the field of medical
research. Some remarkable achievements have been made; however, the exact …

A systematic review on biomarker identification for cancer diagnosis and prognosis in multi-omics: from computational needs to machine learning and deep learning

A Dhillon, A Singh, VK Bhalla - Archives of Computational Methods in …, 2023 - Springer
Biomarkers, also known as biological markers, are substances like transcripts,
deoxyribonucleic acid (DNA), genes, proteins, and metabolites that indicate whether a …

Onco‐multi‐OMICS approach: a new frontier in cancer research

S Chakraborty, MI Hosen, M Ahmed… - BioMed research …, 2018 - Wiley Online Library
The acquisition of cancer hallmarks requires molecular alterations at multiple levels
including genome, epigenome, transcriptome, proteome, and metabolome. In the past …

Artificial intelligence (AI) and machine learning (ML) in precision oncology: a review on enhancing discoverability through multiomics integration

L Wei, D Niraula, EDH Gates, J Fu, Y Luo… - The British Journal of …, 2023 - academic.oup.com
Multiomics data including imaging radiomics and various types of molecular biomarkers
have been increasingly investigated for better diagnosis and therapy in the era of precision …

Multi-omics model applied to cancer genetics

F Pettini, A Visibelli, V Cicaloni, D Iovinelli… - International journal of …, 2021 - mdpi.com
In this review, we focus on bioinformatic oncology as an integrative discipline that
incorporates knowledge from the mathematical, physical, and computational fields to further …

Epigenetics analysis and integrated analysis of multiomics data, including epigenetic data, using artificial intelligence in the era of precision medicine

R Hamamoto, M Komatsu, K Takasawa, K Asada… - Biomolecules, 2019 - mdpi.com
To clarify the mechanisms of diseases, such as cancer, studies analyzing genetic mutations
have been actively conducted for a long time, and a large number of achievements have …