Machine learning methods for cancer classification using gene expression data: A review
F Alharbi, A Vakanski - Bioengineering, 2023 - mdpi.com
Cancer is a term that denotes a group of diseases caused by the abnormal growth of cells
that can spread in different parts of the body. According to the World Health Organization …
that can spread in different parts of the body. According to the World Health Organization …
Multi-omics integration in biomedical research–A metabolomics-centric review
Recent advances in high-throughput technologies have enabled the profiling of multiple
layers of a biological system, including DNA sequence data (genomics), RNA expression …
layers of a biological system, including DNA sequence data (genomics), RNA expression …
[HTML][HTML] Large-scale multi-omic analysis of COVID-19 severity
We performed RNA-seq and high-resolution mass spectrometry on 128 blood samples from
COVID-19-positive and COVID-19-negative patients with diverse disease severities and …
COVID-19-positive and COVID-19-negative patients with diverse disease severities and …
Single-cell biological network inference using a heterogeneous graph transformer
Single-cell multi-omics (scMulti-omics) allows the quantification of multiple modalities
simultaneously to capture the intricacy of complex molecular mechanisms and cellular …
simultaneously to capture the intricacy of complex molecular mechanisms and cellular …
The reactome pathway knowledgebase 2024
M Milacic, D Beavers, P Conley, C Gong… - Nucleic acids …, 2024 - academic.oup.com
Abstract The Reactome Knowledgebase (https://reactome. org), an Elixir and GCBR core
biological data resource, provides manually curated molecular details of a broad range of …
biological data resource, provides manually curated molecular details of a broad range of …
[HTML][HTML] Oncogenic signaling pathways in the cancer genome atlas
Genetic alterations in signaling pathways that control cell-cycle progression, apoptosis, and
cell growth are common hallmarks of cancer, but the extent, mechanisms, and co …
cell growth are common hallmarks of cancer, but the extent, mechanisms, and co …
Association analysis identifies 65 new breast cancer risk loci
Breast cancer risk is influenced by rare coding variants in susceptibility genes, such as
BRCA1, and many common, mostly non-coding variants. However, much of the genetic …
BRCA1, and many common, mostly non-coding variants. However, much of the genetic …
Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci
FR Schumacher, AA Al Olama, SI Berndt, S Benlloch… - Nature …, 2018 - nature.com
Genome-wide association studies (GWAS) and fine-mapping efforts to date have identified
more than 100 prostate cancer (PrCa)-susceptibility loci. We meta-analyzed genotype data …
more than 100 prostate cancer (PrCa)-susceptibility loci. We meta-analyzed genotype data …
Integrated proteogenomic characterization of clear cell renal cell carcinoma
To elucidate the deregulated functional modules that drive clear cell renal cell carcinoma
(ccRCC), we performed comprehensive genomic, epigenomic, transcriptomic, proteomic …
(ccRCC), we performed comprehensive genomic, epigenomic, transcriptomic, proteomic …
Fast gene set enrichment analysis
Gene set enrichment analysis (GSEA) is an ubiquitously used tool for evaluating pathway
enrichment in transcriptional data. Typical experimental design consists in comparing two …
enrichment in transcriptional data. Typical experimental design consists in comparing two …