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Accession: PRJNA471189 ID: 471189

Combining mathematical and statistical modeling to simulate time course bulk and single cell gene expression data in cancer with CancerInSilico (human)

See Genome Information for Homo sapiens
We develop an R/Bioconductor package CancerInSilico to simulate bulk and single cell transcriptional data from a known ground truth obtained from mathematical models of cellular systems. More...
AccessionPRJNA471189; GEO: GSE114375
Data TypeTranscriptome or Gene expression
ScopeMultiisolate
OrganismHomo sapiens[Taxonomy ID: 9606]
Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Euteleostomi; Mammalia; Eutheria; Euarchontoglires; Primates; Haplorrhini; Catarrhini; Hominidae; Homo; Homo sapiens
PublicationsKagohara LT et al., "Integrated single-cell and bulk gene expression and ATAC-seq reveals heterogeneity and early changes in pathways associated with resistance to cetuximab in HNSCC-sensitive cell lines.", Br J Cancer, 2020 Jul;123(1):101-113
SubmissionRegistration date: 13-May-2018
Oncology Biostatistics and Bioinformatics, Johns Hopkins University
RelevanceMedical
Project Data:
Resource NameNumber
of Links
Publications
PubMed1
PMC1
Other datasets
GEO DataSets1
GEO Data Details
ParameterValue
Data volume, Spots4256280
Data volume, Processed Mbytes102
Data volume, Supplementary Mbytes145

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