The gene ontology knowledgebase in 2023

SA Aleksander, J Balhoff, S Carbon, JM Cherry… - Genetics, 2023 - academic.oup.com
Abstract The Gene Ontology (GO) knowledgebase (http://geneontology. org) is a
comprehensive resource concerning the functions of genes and gene products (proteins …

Deep learning in cancer diagnosis, prognosis and treatment selection

KA Tran, O Kondrashova, A Bradley, ED Williams… - Genome Medicine, 2021 - Springer
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 …

[PDF][PDF] The gene ontology knowledgebase in 2023

D Ebert, M Feuermann, P Gaudet, NL Harris, DP Hill… - Genetics, 2023 - crick.figshare.com
Abstract The Gene Ontology (GO) knowledgebase (http://geneontology. org) is a
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

D Dimitrov, D Türei, M Garrido-Rodriguez… - Nature …, 2022 - nature.com
The growing availability of single-cell data, especially transcriptomics, has sparked an
increased interest in the inference of cell-cell communication. Many computational tools …

Multi-omic machine learning predictor of breast cancer therapy response

SJ Sammut, M Crispin-Ortuzar, SF Chin, E Provenzano… - Nature, 2022 - nature.com
Breast cancers are complex ecosystems of malignant cells and the tumour
microenvironment. The composition of these tumour ecosystems and interactions within …

A lymphocyte–microglia–astrocyte axis in chronic active multiple sclerosis

M Absinta, D Maric, M Gharagozloo, T Garton… - Nature, 2021 - nature.com
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 …

Predicting transcriptional outcomes of novel multigene perturbations with GEARS

Y Roohani, K Huang, J Leskovec - Nature Biotechnology, 2024 - nature.com
Understanding cellular responses to genetic perturbation is central to numerous biomedical
applications, from identifying genetic interactions involved in cancer to developing methods …

[HTML][HTML] Proteogenomic characterization of pancreatic ductal adenocarcinoma

L Cao, C Huang, DC Zhou, Y Hu, TM Lih, SR Savage… - Cell, 2021 - cell.com
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer with poor patient
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

L Kolberg, U Raudvere, I Kuzmin, J Vilo… - …, 2020 - ncbi.nlm.nih.gov
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 …

[HTML][HTML] A proteogenomic portrait of lung squamous cell carcinoma

S Satpathy, K Krug, PMJ Beltran, SR Savage, F Petralia… - Cell, 2021 - cell.com
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 …