-
DAC_MATCH-R molecular driver
Dac
EGAC50000000335
-
human HYPOMAP
Dac
EGAC50000000410
-
DAC for DNA methylation data (iMED, BCG prime, and 500FG)
Dac
EGAC00001003534
-
human biopsies
Dac
EGAC50000000625
-
Validation study of genome-wide polygenic score for body mass index in South Asians
Dac
EGAC00001003593
-
A machine learning classifier for DNA repair defects using plasma DNA
Study
EGAS00001007006
-
CITE-seq for peripheral blood samples of 5 breast cancer patients
Study
EGAS00001006241
-
Initial cohort of 500 solid tumors screened for Basket of Baskets
Study
EGAS00001005893
-
Tapestri_h5
Dataset
EGAD00010002559
-
Tapestri_loom
Dataset
EGAD00010002561
-
GermlineSNP
Dataset
EGAD00010002039
-
PopArg94_raw
Dataset
EGAD00010001913
-
Validation of cfDNA fragmentome analyses for early detection of liver cancer
Study
EGAS00001008111
-
Oral mucosa organoids as a potential model for personalized therapies
Study
EGAS00001003628
-
Metabolomic and microbiome profiling reveals personalized risk factors for coronary artery disease
Study
EGAS00001005342
-
Neoadjuvant immune checkpoint blockade in women with mismatch repair deficient endometrial cancer
Study
EGAS50000000483
-
Ultra-sensitive tumor-informed ctDNA monitoring of treatment response in advanced esophagogastric cancer patients
Study
EGAS50000001224
-
Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud university medical center
Dac
EGAC00001003193
-
DAC for Transcriptome analysis in very preterm infants with chronic lung disease after birth
Dac
EGAC00001000698
-
DAC for Cardiac Translatomes of 80 Human Samples (65 DCM cases 15 controls)
Dac
EGAC00001001040
-
Control iPSC lines with clinically annotated genetic variants for versatile multi-lineage differentiation Committee
Dac
EGAC00001001226
-
Genomics to select patients with metastatic breast cancer for targeted therapy DAC
Dac
EGAC00001002293
-
Cyr61-MAC DAC
Dac
EGAC50000000355
-
DAC PRECISE Bennstein
Dac
EGAC50000000476
-
A genome-wide association study for nasopharyngeal carcinoma in Hong Kong population
Study
EGAS00001006102