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In this study single cell RNA-Seq data was used to train a deconvolution algorithm. The algorithm was validated on paired bulk RNA-Seq profiles.
Dataset EGAD00001009688 -
Transcriptomics sequencing 4 samples from the same KMT2A-rearranged Acute Lymphoblastic Leukemia patient
Dataset EGAD00001009974 -
WGS
Dataset EGAD00001010309 -
Exome sequencing files for "A single mutant clone populates the pancreatic ductal system to generate coexisting neoplastic lesions"
Dataset EGAD00001004044 -
Whole Exome Sequencing of a Melanoma Patient with Acquired Resistance to MEK plus CDK4/6 Inhibition
Dataset EGAD00001003989 -
Carcinoid study - WGS dataset
Dataset EGAD00001000813 -
BRIDGE SPEED April 2016
Dataset EGAD00001002070 -
BLUEPRINT: A human variation panel of genetic influences on epigenomes and transcriptomes in three immune cells (WGS)
Dataset EGAD00001002663 -
Comparison of 133/144bp dominant phenotype vs 166bp dominant phenotype.
Dataset EGAD00001005798 -
Personalised therapy with MEK inhibition leads to a sustained complete response in an adolescent patient with a recurrent malignant peripheral nerve sheath tumor
Dataset EGAD00001006793
