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An information-theory analysis of DNA methylation identifies converging genetic and epigenetic drive...

An information-theory analysis of DNA methylation identifies converging genetic and epigenetic drive...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8370714

An information-theory analysis of DNA methylation identifies converging genetic and epigenetic drivers of paediatric acute lymphoblastic leukaemia

About this item

Full title

An information-theory analysis of DNA methylation identifies converging genetic and epigenetic drivers of paediatric acute lymphoblastic leukaemia

Journal title

Nature biomedical engineering, 2021-04, Vol.5 (4), p.360-376

Language

English

Formats

More information

Scope and Contents

Contents

In cancer, linking epigenetic alterations to drivers of transformation has been difficult, in part because DNA-methylation analyses must capture epigenetic variability, which is central to tumour heterogeneity and tumour plasticity. Here, by conducting a comprehensive analysis, based on information theory, of differences in methylation stochasticit...

Alternative Titles

Full title

An information-theory analysis of DNA methylation identifies converging genetic and epigenetic drivers of paediatric acute lymphoblastic leukaemia

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8370714

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8370714

Other Identifiers

E-ISSN

2157-846X

DOI

10.1038/s41551-021-00703-2

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