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Andrew E Teschendorff

Showing results (1-10 of 162) with videos related to

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Aging|August 22, 2018
Epigenetic clocks galore: a new improved clock predicts age-acceleration in Hutchinson Gilford Progeria Syndrome patientsAndrew E Teschendorff
Biochemical Society Transactions|June 10, 2024
Computational single-cell methods for predicting cancer riskAndrew E Teschendorff
Aging|October 23, 2013
Epigenetic aging: insights from network biologyAndrew E Teschendorff
Nature Materials|November 28, 2018
Avoiding common pitfalls in machine learning omic data scienceAndrew E Teschendorff
Genome Medicine|June 26, 2020
A comparison of epigenetic mitotic-like clocks for cancer risk predictionAndrew E Teschendorff
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|March 3, 2024
On epigenetic stochasticity, entropy and cancer riskAndrew E Teschendorff
Journal of Bioinformatics and Computational Biology|July 18, 2013
A variational Bayes beta mixture model for feature selection in DNA methylation studiesZhanyu Ma, Andrew E Teschendorff
BMC Systems Biology|August 3, 2010
Increased entropy of signal transduction in the cancer metastasis phenotypeAndrew E Teschendorff, Simone Severini
Bioinformatics (Oxford, England)|April 12, 2012
Differential variability improves the identification of cancer risk markers in DNA methylation studies profiling precursor cancer lesionsAndrew E Teschendorff, Martin Widschwendter
Geroscience|April 29, 2025
Epigenetic clocks and inflammaging: pitfalls caused by ignoring cell-type heterogeneityXiaolong Guo, Andrew E Teschendorff
Pageof 17

Showing results (1-10 of 162) with videos related to

Sort By:
Pageof 17
Aging|August 22, 2018
Epigenetic clocks galore: a new improved clock predicts age-acceleration in Hutchinson Gilford Progeria Syndrome patientsAndrew E Teschendorff
Biochemical Society Transactions|June 10, 2024
Computational single-cell methods for predicting cancer riskAndrew E Teschendorff
Aging|October 23, 2013
Epigenetic aging: insights from network biologyAndrew E Teschendorff
Nature Materials|November 28, 2018
Avoiding common pitfalls in machine learning omic data scienceAndrew E Teschendorff
Genome Medicine|June 26, 2020
A comparison of epigenetic mitotic-like clocks for cancer risk predictionAndrew E Teschendorff
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|March 3, 2024
On epigenetic stochasticity, entropy and cancer riskAndrew E Teschendorff
Journal of Bioinformatics and Computational Biology|July 18, 2013
A variational Bayes beta mixture model for feature selection in DNA methylation studiesZhanyu Ma, Andrew E Teschendorff
BMC Systems Biology|August 3, 2010
Increased entropy of signal transduction in the cancer metastasis phenotypeAndrew E Teschendorff, Simone Severini
Bioinformatics (Oxford, England)|April 12, 2012
Differential variability improves the identification of cancer risk markers in DNA methylation studies profiling precursor cancer lesionsAndrew E Teschendorff, Martin Widschwendter
Geroscience|April 29, 2025
Epigenetic clocks and inflammaging: pitfalls caused by ignoring cell-type heterogeneityXiaolong Guo, Andrew E Teschendorff
Pageof 17