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 …

Liquid biopsy in breast cancer: A comprehensive review

S Alimirzaie, M Bagherzadeh, MR Akbari - Clinical genetics, 2019 - Wiley Online Library
Breast cancer is the most common cancer among women worldwide. Due to its complexity in
nature, effective breast cancer treatment can encounter many challenges. Traditional …

PERCEPTION predicts patient response and resistance to treatment using single-cell transcriptomics of their tumors

S Sinha, R Vegesna, S Mukherjee, AV Kammula… - Nature Cancer, 2024 - nature.com
Tailoring optimal treatment for individual cancer patients remains a significant challenge. To
address this issue, we developed PERCEPTION (PERsonalized Single-Cell Expression …

Molecular profiling for precision cancer therapies

ER Malone, M Oliva, PJB Sabatini, TL Stockley… - Genome medicine, 2020 - Springer
The number of druggable tumor-specific molecular aberrations has grown substantially in
the past decade, with a significant survival benefit obtained from biomarker matching …

Application of artificial intelligence technology in oncology: Towards the establishment of precision medicine

R Hamamoto, K Suvarna, M Yamada, K Kobayashi… - Cancers, 2020 - mdpi.com
Simple Summary Artificial intelligence (AI) technology has been advancing rapidly in recent
years and is being implemented in society. The medical field is no exception, and the clinical …

Landscape of somatic alterations in large-scale solid tumors from an Asian population

L Wu, H Yao, H Chen, A Wang, K Guo, W Gou… - Nature …, 2022 - nature.com
Extending the benefits of tumor molecular profiling for all cancer patients requires a
comprehensive analysis of tumor genomes across distinct patient populations worldwide. In …

NEMO: cancer subty** by integration of partial multi-omic data

N Rappoport, R Shamir - Bioinformatics, 2019 - academic.oup.com
Motivation Cancer subtypes were usually defined based on molecular characterization of
single omic data. Increasingly, measurements of multiple omic profiles for the same cohort …

Interpretable systems biomarkers predict response to immune-checkpoint inhibitors

Ó Lapuente-Santana, M van Genderen, PAJ Hilbers… - Patterns, 2021 - cell.com
Cancer cells can leverage several cell-intrinsic and-extrinsic mechanisms to escape
immune system recognition. The inherent complexity of the tumor microenvironment, with its …

Drug screening at single-organoid resolution via bioprinting and interferometry

PJ Tebon, B Wang, AL Markowitz, A Davarifar… - Nature …, 2023 - nature.com
High throughput drug screening is an established approach to investigate tumor biology and
identify therapeutic leads. Traditional platforms use two-dimensional cultures which do not …

Computational prediction and validation of tumor-associated neoantigens

V Roudko, B Greenbaum, N Bhardwaj - Frontiers in Immunology, 2020 - frontiersin.org
Tumor progression is typically accompanied by an accumulation of driver and passenger
somatic mutations. A handful of those mutations occur in protein coding genes which …