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TranscriptomicsGenetic Landscape of Copy Number Alterations in Gastric Cancer
Genome-wide DNA copy number profiling of gastric tumors and matched non-maligant samples. The affymetrix SNP6 array was used to obtain DNA copy number profiles in 193 gastric tumors and 98 matched gastric non-malignant samples. Genomic DNA extracted from 193 gastric tumors and 98 matched gastric non...
ORGANISM(S): Homo sapiens 
2012-02-10 | E-GEOD-31168 | biostudies-arrayexpress
GenomicsGenome-Wide Association Studies in Upper Gastrointestinal Cancers (Asian)

This project aims to conduct genome-wide association studies (GWAS) in two anatomically different upper gastrointestinal (UGI) cancer sites in two populations with distinctly different disease rates and genetic profiles. One population has very high rates for both esophageal squamous cel...

phs000361.v1.p1 | EGA
UnknownA comprehensive survey of genomic alterations in gastric cancer reveals systematic patterns of molecular exclusivity and co-occurrence among distinct therapeutic targets.
Not available
S-EPMC3322587 | biostudies-literature
UnknownEasyMetagenome: A user-friendly and flexible pipeline for shotgun metagenomic analysis in microbiome research.
Not available
S-EPMC11865343 | biostudies-literature
UnknownA benchmark of expert-level academic questions to assess AI capabilities.
Not available
S-EPMC12851929 | biostudies-literature
UnknownSafety of the PCSK9 inhibitor alirocumab: insights from 47 296 patient-years of observation.
Not available
S-EPMC11249957 | biostudies-literature
UnknownApolipoprotein B, Residual Cardiovascular Risk After Acute Coronary Syndrome, and Effects of Alirocumab.
Not available
S-EPMC9422774 | biostudies-literature
UnknownLipoprotein(a) and Benefit of PCSK9 Inhibition in Patients With Nominally Controlled LDL Cholesterol.
Not available
S-EPMC8822604 | biostudies-literature
UnknownRisk profiles and one-year outcomes of patients with newly diagnosed atrial fibrillation in India: Insights from the GARFIELD-AF Registry.
Not available
S-EPMC6306365 | biostudies-literature
UnknownElective surgery cancellations due to the COVID-19 pandemic: global predictive modelling to inform surgical recovery plans.
Not available
S-EPMC7272903 | biostudies-literature
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