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DECONVOLUTION OF HEMATOPOIETIC STEM/PROGENITOR CELL SIGNALING IN HUMAN AML
Study EGAS00001007330 -
Clonal_analysis_Bcell_activation
Dataset EGAD50000002114 -
RNAseq dataset of ovarian cancer patients
Dataset EGAD50000001556 -
Whole Exome Sequencing of Bipolar cases and matched a cohort from Edinburgh, Scotland, UK
Dataset EGAD50000000623 -
DELFI low-coverage WGS of plasma cfDNA
Dataset EGAD50000000630 -
Clonally heritable gene expression imparts a layer of diversity within cell types
Dataset EGAD50000000231 -
Whole-exome sequencing data of patients with T follicular helper cell lymphomas
Dataset EGAD50000000401 -
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
