Abstract Machine learning (ML) is rapidly emerging in several fields of cancer research. ML
algorithms can deal with vast amounts of medical data and provide a better understanding of …

Molecular profiles of tumors and tumor-associated cells hold great promise as biomarkers of
clinical outcomes. However, existing data sets are fragmented and difficult to analyze …

Maintenance of the blood system requires balanced cell fate decisions by hematopoietic
stem and progenitor cells (HSPCs). Because cell fate choices are executed at the individual …

Hematopoietic stem cells (HSCs) are characterized by their ability to execute a wide range
of cell fate choices, including self-renewal, quiescence, and differentiation into the many …

BloodSpot is a gene-centric database of mRNA expression of haematopoietic cells. The web-
based interface to the database includes three concomitant levels of visualization for a gene …

Fusion genes are a major cause of cancer. Their rapid and accurate diagnosis can inform
clinical action, but current molecular diagnostic assays are restricted in resolution and …

Acute myeloid leukemia (AML) is a genetically heterogeneous hematologic malignancy,
which is initiated and driven by a rare fraction of leukemia stem cells (LSCs). Despite the …

Abstract FLT3, DNMT3A, and NPM1 are the most frequently mutated genes in
cytogenetically normal acute myeloid leukemia (AML), but little is known about how these …

Activating mutations of FMS-like tyrosine kinase 3 (FLT3), notably internal tandem
duplications (ITDs), are associated with a grave prognosis in acute myeloid leukemia (AML) …

Abstract The HemaExplorer (http://servers. binf. ku. dk/hemaexplorer) is a curated database
of processed mRNA Gene expression profiles (GEPs) that provides an easy display of gene …