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Methods in Molecular Biology (Clifton, N.J.)|February 14, 2019
Estimating Differentiation Potency of Single Cells Using Single-Cell Entropy (SCENT)Weiyan Chen, Andrew E TeschendorffBriefings in Bioinformatics|October 6, 2018
Quantifying Waddington's epigenetic landscape: a comparison of single-cell potency measuresJifan Shi, Andrew E Teschendorff, Weiyan Chen, et al.Communications Biology|August 21, 2019
Single-cell landscape in mammary epithelium reveals bipotent-like cells associated with breast cancer risk and outcomeWeiyan Chen, Samuel J Morabito, Kai Kessenbrock, et al.Biochemical Society Transactions|June 10, 2024
Computational single-cell methods for predicting cancer riskAndrew E TeschendorffGenome Medicine|June 26, 2020
A comparison of epigenetic mitotic-like clocks for cancer risk predictionAndrew E TeschendorffPhilosophical Transactions of the Royal Society of London. Series B, Biological Sciences|March 3, 2024
On epigenetic stochasticity, entropy and cancer riskAndrew E TeschendorffJournal of Bioinformatics and Computational Biology|July 18, 2013
A variational Bayes beta mixture model for feature selection in DNA methylation studiesZhanyu Ma, Andrew E TeschendorffBMC Systems Biology|August 3, 2010
Increased entropy of signal transduction in the cancer metastasis phenotypeAndrew E Teschendorff, Simone SeveriniBioinformatics (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 WidschwendterBreast Cancer Research : BCR|April 7, 2009
The breast cancer somatic 'muta-ome': tackling the complexityAndrew E Teschendorff, Carlos CaldasPageof 22