Mycology opens submissions for fungal biomanufacturing collection
Mycology has opened submissions for a peer-reviewed article collection on fungal biomanufacturing, with Yongjun Wei and Boyang Ji serving as ...
Tag: multi-omics data integration
SubPoE benchmarked for uncertainty-aware spatial multi-omics clustering
A computational benchmarking study found that SubPoE delivered the strongest average spatial-domain clustering results across eight paired spatial multi-omics datasets ...
A generalized supervised contrastive learning framework for integrative multi-omics prediction models
A new machine-learning framework called MB-SupConCon extends supervised contrastive learning to continuous responses, enabling more accurate and biologically interpretable prediction ...
TurbOmics Brings Multi-Omics Integration to the Web Browser
A new web-based platform called TurbOmics lets researchers integrate metabolomics, proteomics, and transcriptomics data using advanced statistical methods without any ...
Tousled-Like Kinases TLK1 and TLK2 Emerge as Pan-Cancer Drivers of Genomic Instability and Immune Evasion
A pan-cancer analysis of 33 tumor types reveals that the DNA-repair kinases TLK1 and TLK2 drive genomic instability and shape ...
Dual-Branch AI Framework CrossBranch Sharpens Cell-Type Maps Across Omics Data
A new dual-branch deep learning framework called CrossBranch improves the estimation of cell-type composition from bulk, proteomic, and spatial omics ...
New AI framework DePass cleans and merges multi-omics data across cells and tissues
Researchers have developed DePass, a dual-enhanced graph learning framework that iteratively denoises and integrates paired multi-omics data across single-cell and ...
AI Learns to Predict Patient Outcomes Even When Key Omics Data Are Missing
A new review maps the machine learning methods that allow multi-omics models to predict clinical outcomes even when entire layers ...
A heterogeneous multimodal ensemble framework for multi-omics breast cancer prognosis
None The distinction between stacking and bagging, the two ensemble paradigms combined in this framework, helps explain why assigning them ...
Machine Learning Pinpoints Immunotherapy Targets, Validated by Tumor Explants
In a groundbreaking advancement at the intersection of artificial intelligence and oncology, researchers have unveiled a pioneering method that harnesses ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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