AIMC Topic: Multiomics
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The prediction of drug sensitivity by multi-omics fusion reveals the heterogeneity of drug response in pan-cancer.
Computers in biology and medicine
Jul 1, 2023
Cancer drug response prediction based on genomic information plays a crucial role in modern pharmacogenomics, enabling individualized therapy. Given the expensive and complexity of biological experiments, computational methods serve as effective tool...
Geometric graph neural networks on multi-omics data to predict cancer survival outcomes.
Computers in biology and medicine
Jun 9, 2023
The advance of sequencing technologies has enabled a thorough molecular characterization of the genome in human cancers. To improve patient prognosis predictions and subsequent treatment strategies, it is imperative to develop advanced computational ...
Network-based cancer precision prevention with artificial intelligence and multi-omics.
Science bulletin
May 22, 2023
Efficient Generation of Paired Single-Cell Multiomics Profiles by Deep Learning.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Apr 28, 2023
Recent advances in single-cell sequencing technology have made it possible to measure multiple paired omics simultaneously in a single cell such as cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) and single-nucleus chromatin...
Development and validation of a deep learning model for prediction of intracranial aneurysm rupture risk based on multi-omics factor.
European radiology
Apr 26, 2023
OBJECTIVE: The clinical ability of radiomics to predict intracranial aneurysm rupture risk remains unexplored. This study aims to investigate the potential uses of radiomics and explore whether deep learning (DL) algorithms outperform traditional sta...
Deep learning on graphs for multi-omics classification of COPD.
PloS one
Apr 21, 2023
Network approaches have successfully been used to help reveal complex mechanisms of diseases including Chronic Obstructive Pulmonary Disease (COPD). However despite recent advances, we remain limited in our ability to incorporate protein-protein inte...
CustOmics: A versatile deep-learning based strategy for multi-omics integration.
PLoS computational biology
Mar 6, 2023
The availability of patient cohorts with several types of omics data opens new perspectives for exploring the disease's underlying biological processes and developing predictive models. It also comes with new challenges in computational biology in te...
Towards artificial intelligence to multi-omics characterization of tumor heterogeneity in esophageal cancer.
Seminars in cancer biology
Mar 1, 2023
Esophageal cancer is a unique and complex heterogeneous malignancy, with substantial tumor heterogeneity: at the cellular levels, tumors are composed of tumor and stromal cellular components; at the genetic levels, they comprise genetically distinct ...
A fair experimental comparison of neural network architectures for latent representations of multi-omics for drug response prediction.
BMC bioinformatics
Feb 14, 2023
BACKGROUND: Recent years have seen a surge of novel neural network architectures for the integration of multi-omics data for prediction. Most of the architectures include either encoders alone or encoders and decoders, i.e., autoencoders of various s...
DeepInsight-3D architecture for anti-cancer drug response prediction with deep-learning on multi-omics.
Scientific reports
Feb 11, 2023
Modern oncology offers a wide range of treatments and therefore choosing the best option for particular patient is very important for optimal outcome. Multi-omics profiling in combination with AI-based predictive models have great potential for strea...
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