MulNet – mapping gene networks to understand cancer
Understanding how genes interact is crucial for studying diseases like cancer, but most existing models only capture a small portion of these complex relationships. Researchers at the Beijing Institute...
View ArticleKEGNI – knowledge graph enhanced framework for gene regulatory network inference
Mapping out how genes are controlled inside cells is one of the most important tasks in modern biology. Genes rarely work in isolation. Instead, they operate within large regulatory networks, where...
View ArticleCisformer: a scalable cross-modality generation framework for decoding...
Understanding how genes are turned on or off inside individual cells is a key challenge in modern biology. Researchers from Tongji University have developed a powerful new computational model called...
View ArticleHALO – hierarchical causal modeling for single cell multi-omics data
Researchers at the University of Pittsburgh have developed an innovative framework called HALO that reveals how changes in gene activity and chromatin structure interact over time. While open chromatin...
View ArticleGraphComm – predicting cell cell communication using a graph based deep...
A team led by researchers at the Princess Margaret Cancer Centre in Toronto have introduced a powerful new approach to studying how cells communicate with one another. Their deep learning framework,...
View ArticleIntegrating single-cell multiomics to link genetic variants with cell-type...
Understanding how genetic differences influence disease and aging at the cellular level is one of the biggest challenges in modern biology. While large genetic studies called genome-wide association...
View ArticleMEBOCOST – mapping metabolite-mediated intercellular communications using...
Cells are constantly communicating with each other to keep tissues healthy and functioning properly. Much of what we know about cell to cell communication focuses on proteins, such as hormones or...
View ArticleImproving gene expression analysis with APA-seq data
Gene expression studies often focus on measuring how much of a gene is being produced in different cells or tissues. However, genes can also be regulated after transcription through processes that...
View ArticleAI model improves prediction of immunotherapy response across cancers
RNA sequencing combined with artificial intelligence improves prediction of immunotherapy response across multiple cancers while revealing biological mechanisms linked to treatment success and...
View ArticlescImmuneCo – a compendium of cell-type-specific functional modules for...
The immune system is made up of many different types of cells, each with its own specialized role. During infection, inflammation, or autoimmune disease, these cells do not all respond in the same way....
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