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Artificial intelligence-based multi-omics analysis fuels cancer precision medicine
With biotechnological advancements, innovative omics technologies are constantly
emerging that have enabled researchers to access multi-layer information from the genome …
emerging that have enabled researchers to access multi-layer information from the genome …
Current progress and open challenges for applying deep learning across the biosciences
Deep Learning (DL) has recently enabled unprecedented advances in one of the grand
challenges in computational biology: the half-century-old problem of protein structure …
challenges in computational biology: the half-century-old problem of protein structure …
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 …
Variational gated autoencoder-based feature extraction model for inferring disease-miRNA associations based on multiview features
Y Guo, D Zhou, X Ruan, J Cao - Neural Networks, 2023 - Elsevier
MicroRNAs (miRNA) play critical roles in diverse biological processes of diseases. Inferring
potential disease-miRNA associations enable us to better understand the development and …
potential disease-miRNA associations enable us to better understand the development and …
MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification
To fully utilize the advances in omics technologies and achieve a more comprehensive
understanding of human diseases, novel computational methods are required for integrative …
understanding of human diseases, novel computational methods are required for integrative …
Comprehensive metabolomics expands precision medicine for triple-negative breast cancer
Y **ao, D Ma, YS Yang, F Yang, JH Ding, Y Gong… - Cell research, 2022 - nature.com
Metabolic reprogramming is a hallmark of cancer. However, systematic characterizations of
metabolites in triple-negative breast cancer (TNBC) are still lacking. Our study profiled the …
metabolites in triple-negative breast cancer (TNBC) are still lacking. Our study profiled the …
[HTML][HTML] Chromatin potential identified by shared single-cell profiling of RNA and chromatin
Cell differentiation and function are regulated across multiple layers of gene regulation,
including modulation of gene expression by changes in chromatin accessibility. However …
including modulation of gene expression by changes in chromatin accessibility. However …
Multi-omics data integration, interpretation, and its application
I Subramanian, S Verma, S Kumar… - … and biology insights, 2020 - journals.sagepub.com
To study complex biological processes holistically, it is imperative to take an integrative
approach that combines multi-omics data to highlight the interrelationships of the involved …
approach that combines multi-omics data to highlight the interrelationships of the involved …
[HTML][HTML] Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence
Medical artificial intelligence (AI) systems have been remarkably successful, even
outperforming human performance at certain tasks. There is no doubt that AI is important to …
outperforming human performance at certain tasks. There is no doubt that AI is important to …
[HTML][HTML] Integration strategies of multi-omics data for machine learning analysis
Increased availability of high-throughput technologies has generated an ever-growing
number of omics data that seek to portray many different but complementary biological …
number of omics data that seek to portray many different but complementary biological …