Recent high throughput experimental methods have been used to collect large biomedical
omics datasets. Clustering of single omic datasets has proven invaluable for biological and …

Motivation Cancer subtypes were usually defined based on molecular characterization of
single omic data. Increasingly, measurements of multiple omic profiles for the same cohort are …

Embryonic development involves massive proliferation and differentiation of cell lineages.
This must be supported by chromosome replication and epigenetic reprogramming, but how …

Changes in ploidy are relatively rare, but play important roles in the development of cancer
and the acquisition of long-term adaptations. Genome duplications occur across the tree of …

Comparing survival patterns between groups of individuals is ubiquitous in biomedical
research. A significant difference in survival can show the efficacy of a drug or the biological …

Integrative analysis of multi-omic datasets has proven to be extremely valuable in cancer
research and precision medicine. However, obtaining multimodal data from the same samples …

Recent advances in experimental biology allow creation of datasets where several genome-wide
data types (called omics) are measured per sample. Integrative analysis of multi-omic …

Hematopoietic stem and progenitor cells (HSPCs) are intended to deliver life-long, consistent
output. However, with age, we observe changes in blood counts and clonal disorders. …

Background: Interrogation of complete blood counts from large cohorts of age-diverse healthy
individuals exposes large inter-individual heterogeneity across all age decimals, as well …

Myelodysplastic Syndromes (MDS) are a group of blood malignancies characterized by
aberrant differentiation of hematopoietic stem and progenitor cells (HSPC) in the bone marrow …