The gene ontology knowledgebase in 2023
Abstract The Gene Ontology (GO) knowledgebase (http://geneontology. org) is a
comprehensive resource concerning the functions of genes and gene products (proteins …
comprehensive resource concerning the functions of genes and gene products (proteins …
Deep learning in cancer diagnosis, prognosis and treatment selection
Deep learning is a subdiscipline of artificial intelligence that uses a machine learning
technique called artificial neural networks to extract patterns and make predictions from …
technique called artificial neural networks to extract patterns and make predictions from …
[PDF][PDF] The gene ontology knowledgebase in 2023
Abstract The Gene Ontology (GO) knowledgebase (http://geneontology. org) is a
comprehensive resource concerning the functions of genes and gene products (proteins …
comprehensive resource concerning the functions of genes and gene products (proteins …
Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data
The growing availability of single-cell data, especially transcriptomics, has sparked an
increased interest in the inference of cell-cell communication. Many computational tools …
increased interest in the inference of cell-cell communication. Many computational tools …
Multi-omic machine learning predictor of breast cancer therapy response
Breast cancers are complex ecosystems of malignant cells and the tumour
microenvironment. The composition of these tumour ecosystems and interactions within …
microenvironment. The composition of these tumour ecosystems and interactions within …
A lymphocyte–microglia–astrocyte axis in chronic active multiple sclerosis
Multiple sclerosis (MS) lesions that do not resolve in the months after they form harbour
ongoing demyelination and axon degeneration, and are identifiable in vivo by their …
ongoing demyelination and axon degeneration, and are identifiable in vivo by their …
Predicting transcriptional outcomes of novel multigene perturbations with GEARS
Understanding cellular responses to genetic perturbation is central to numerous biomedical
applications, from identifying genetic interactions involved in cancer to developing methods …
applications, from identifying genetic interactions involved in cancer to developing methods …
[HTML][HTML] Proteogenomic characterization of pancreatic ductal adenocarcinoma
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer with poor patient
survival. Toward understanding the underlying molecular alterations that drive PDAC …
survival. Toward understanding the underlying molecular alterations that drive PDAC …
[HTML][HTML] gprofiler2--an R package for gene list functional enrichment analysis and namespace conversion toolset g: Profiler
Abstract g: Profiler (https://biit. cs. ut. ee/gprofiler) is a widely used gene list functional
profiling and namespace conversion toolset that has been contributing to reproducible …
profiling and namespace conversion toolset that has been contributing to reproducible …
[HTML][HTML] A proteogenomic portrait of lung squamous cell carcinoma
Lung squamous cell carcinoma (LSCC) remains a leading cause of cancer death with few
therapeutic options. We characterized the proteogenomic landscape of LSCC, providing a …
therapeutic options. We characterized the proteogenomic landscape of LSCC, providing a …