AIMC Topic: Multiomics
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Multi-omics integration method based on attention deep learning network for biomedical data classification.
Computer methods and programs in biomedicine
Jan 27, 2023
BACKGROUND AND OBJECTIVE: Integrating multi-omics data for the comprehensive analysis of the biological processes in human diseases has become one of the most challenging tasks of bioinformatics. Deep learning (DL) algorithms have recently become one...
Advancing Targeted Protein Degradation via Multiomics Profiling and Artificial Intelligence.
Journal of the American Chemical Society
Jan 27, 2023
Only around 20% of the human proteome is considered to be druggable with small-molecule antagonists. This leaves some of the most compelling therapeutic targets outside the reach of ligand discovery. The concept of targeted protein degradation (TPD) ...
The need for an integrated multi-OMICs approach in microbiome science in the food system.
Comprehensive reviews in food science and food safety
Jan 12, 2023
Microbiome science as an interdisciplinary research field has evolved rapidly over the past two decades, becoming a popular topic not only in the scientific community and among the general public, but also in the food industry due to the growing dema...
Artificial intelligence-based multi-omics analysis fuels cancer precision medicine.
Seminars in cancer biology
Dec 31, 2022
With biotechnological advancements, innovative omics technologies are constantly emerging that have enabled researchers to access multi-layer information from the genome, epigenome, transcriptome, proteome, metabolome, and more. A wealth of omics tec...
Clustering of single-cell multi-omics data with a multimodal deep learning method.
Nature communications
Dec 13, 2022
Single-cell multimodal sequencing technologies are developed to simultaneously profile different modalities of data in the same cell. It provides a unique opportunity to jointly analyze multimodal data at the single-cell level for the identification ...
Deep-Learning Algorithm and Concomitant Biomarker Identification for NSCLC Prediction Using Multi-Omics Data Integration.
Biomolecules
Dec 8, 2022
Early diagnosis of lung cancer to increase the survival rate, which is currently at a low range of mid-30%, remains a critical need. Despite this, multi-omics data have rarely been applied to non-small-cell lung cancer (NSCLC) diagnosis. We developed...
MCluster-VAEs: An end-to-end variational deep learning-based clustering method for subtype discovery using multi-omics data.
Computers in biology and medicine
Sep 6, 2022
The discovery of cancer subtypes based on unsupervised clustering helps in providing a precise diagnosis, guide treatment, and improve patients' prognoses. Instead of single-omics data, multi-omics data can improve the clustering performance because ...
Multiomics, artificial intelligence, and precision medicine in perinatology.
Pediatric research
Jul 8, 2022
Technological advances in omics evaluation, bioinformatics, and artificial intelligence have made us rethink ways to improve patient outcomes. Collective quantification and characterization of biological data including genomics, epigenomics, metabolo...
Applications of artificial intelligence multiomics in precision oncology.
Journal of cancer research and clinical oncology
Jul 7, 2022
Cancer is the second leading worldwide disease that depends on oncogenic mutations and non-mutated genes for survival. Recent advancements in next-generation sequencing (NGS) have transformed the health care sector with big data and machine learning ...
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