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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 …
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 …
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
Tailoring optimal treatment for individual cancer patients remains a significant challenge. To
address this issue, we developed PERCEPTION (PERsonalized Single-Cell Expression …
address this issue, we developed PERCEPTION (PERsonalized Single-Cell Expression …
Molecular profiling for precision cancer therapies
The number of druggable tumor-specific molecular aberrations has grown substantially in
the past decade, with a significant survival benefit obtained from biomarker matching …
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
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 …
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 …
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 …
single omic data. Increasingly, measurements of multiple omic profiles for the same cohort …
Interpretable systems biomarkers predict response to immune-checkpoint inhibitors
Cancer cells can leverage several cell-intrinsic and-extrinsic mechanisms to escape
immune system recognition. The inherent complexity of the tumor microenvironment, with its …
immune system recognition. The inherent complexity of the tumor microenvironment, with its …
Drug screening at single-organoid resolution via bioprinting and interferometry
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 …
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 …
somatic mutations. A handful of those mutations occur in protein coding genes which …