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] A systematic review of computational approaches to understand cancer biology for informed drug repurposing

F Ahmed, A Samantasinghar, AM Soomro, S Kim… - Journal of Biomedical …, 2023 - Elsevier
Cancer is the second leading cause of death globally, trailing only heart disease. In the
United States alone, 1.9 million new cancer cases and 609,360 deaths were recorded for …

Multi-disease prediction based on deep learning: a survey

S Xie, Z Yu, Z Lv - Computer Modeling in Engineering & …, 2021 - ingentaconnect.com
In recent years, the development of artificial intelligence (AI) and the gradual beginning of
AI's research in the medical field have allowed people to see the excellent prospects of the …

Connecting omics signatures and revealing biological mechanisms with iLINCS

M Pilarczyk, M Fazel-Najafabadi, M Kouril… - Nature …, 2022 - nature.com
There are only a few platforms that integrate multiple omics data types, bioinformatics tools,
and interfaces for integrative analyses and visualization that do not require programming …

Breast cancer in the era of integrating “Omics” approaches

C Rossi, I Cicalini, MC Cufaro, A Consalvo… - Oncogenesis, 2022 - nature.com
Worldwide, breast cancer is the leading cause of cancer-related deaths in women. Breast
cancer is a heterogeneous disease characterized by different clinical outcomes in terms of …

Multi-omics analysis: Paving the path toward achieving precision medicine in cancer treatment and immuno-oncology

V Raufaste-Cazavieille, R Santiago… - Frontiers in Molecular …, 2022 - frontiersin.org
The acceleration of large-scale sequencing and the progress in high-throughput
computational analyses, defined as omics, was a hallmark for the comprehension of the …

Omics-based investigations of breast cancer

AN Neagu, D Whitham, P Bruno, H Morrissiey… - Molecules, 2023 - mdpi.com
Breast cancer (BC) is characterized by an extensive genotypic and phenotypic
heterogeneity. In-depth investigations into the molecular bases of BC phenotypes …

Extracellular matrix remodeling facilitates obesity-associated cancer progression

M Kim, C Lee, J Park - Trends in cell biology, 2022 - cell.com
Obesity, a global public health concern, is an important risk factor for metabolic diseases
and several cancers. Fibro-inflammation in adipose tissues (ATs) is tightly associated with …

Deep transfer learning for clinical decision-making based on high-throughput data: comprehensive survey with benchmark results

M Toseef, O Olayemi Petinrin, F Wang… - Briefings in …, 2023 - academic.oup.com
The rapid growth of omics-based data has revolutionized biomedical research and precision
medicine, allowing machine learning models to be developed for cutting-edge performance …

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 …