SOTTORIVALAB
SOTTORIVALAB
Research
People
Publications
Neutral Evolution
Methods
Datasets
Contact
Light
Dark
Automatic
Andrea Sottoriva
Latest
Genomic landscape of diffuse glioma revealed by whole genome sequencing
MIDAA: deep archetypal analysis for interpretable multi-omic data integration based on biological principles
Quantitative measurement of phenotype dynamics during cancer drug resistance evolution using genetic barcoding
Single cell multi-omic whole genome sequencing and chromatin accessibility profiling reveals genome-epigenome coevolution in colorectal cancer
Contribution of pks+ E. coli mutations to colorectal carcinogenesis
Quantification of spatial subclonal interactions enhancing the invasive phenotype of pediatric glioma
Stabilising selection causes grossly altered but stable karyotypes in metastatic colorectal cancer
Detecting repeated cancer evolution from multi-region tumor sequencing data
Quantification of subclonal selection in cancer from bulk sequencing data
Identification of neutral tumor evolution across cancer types
A Big Bang model of human colorectal tumor growth
Intratumor heterogeneity in human glioblastoma reflects cancer evolutionary dynamics
Cite
×