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UnknownIndividual prediction of heart failure among childhood cancer survivors.
Not available
S-EPMC4314592 | biostudies-literature
TranscriptomicsGenomic profiling identifies GATA6 as a candidate oncogene amplified in pancreatobiliary cancer
Pancreatobiliary cancers have among the highest mortality rates of any cancer type. Discovering the full spectrum of molecular genetic alterations may suggest new avenues for therapy. To catalogue genomic alterations, we carried out array-based genomic profiling of 31 exocrine pancreatic cancers a...
ORGANISM(S): Homo sapiens 
2008-07-18 | E-GEOD-11152 | biostudies-arrayexpress
TranscriptomicsMolecular profiling of breast cancer cell lines defines relevant tumor models (aCGH)
Breast cancer cell lines have been used widely to investigate breast cancer pathobiology and new therapies. Breast cancer is a molecularly heterogeneous disease, and it is important to understand how well and which cell lines best model that diversity. In particular, microarray studies have identi...
ORGANISM(S): Homo sapiens 
2010-06-24 | E-GEOD-13914 | biostudies-arrayexpress
TranscriptomicsMolecular profiling of breast cancer cell lines defines relevant tumor models
This SuperSeries is composed of the following subset Series: GSE13914: Molecular profiling of breast cancer cell lines defines relevant tumor models (aCGH) GSE15361: Molecular profiling of breast cancer cell lines defines relevant tumor models (gene expression) Refer to individual Series
ORGANISM(S): Homo sapiens 
2010-06-25 | E-GEOD-15376 | biostudies-arrayexpress
GenomicsSMG
Severe malaria cases from Gambia
EGAD00000000018 | EGA
GenomicsCBC
Cord blood control samples from Gambia
EGAD00000000017 | EGA
GenomicsMalariaGEN case-control study in the Gambia
MalariaGEN case-control study in the Gambia.
EGAS00000000026 | EGA
GenomicsMalariaGEN data access committee
Access to individual-level genotype data is available by application to the MalariaGEN Independent Data Access Committee. Access to data will be granted to qualified investigators for appropriate use. For further information information on data release policy and data access application form, please...
EGAC00000000002 | EGA
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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