Andrew E. Teschendorff
Orcid: 0000-0001-7410-6527
According to our database1,
Andrew E. Teschendorff
authored at least 33 papers
between 2005 and 2022.
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Bibliography
2022
Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2022.
Nucleic Acids Res., 2022
dbDEMC 3.0: Functional Exploration of Differentially Expressed miRNAs in Cancers of Human and Model Organisms.
Genom. Proteom. Bioinform., 2022
2021
Ultra-fast scalable estimation of single-cell differentiation potency from scRNA-Seq data.
Bioinform., 2021
2020
EpiDISH web server: Epigenetic Dissection of Intra-Sample-Heterogeneity with online GUI.
Bioinform., 2020
Quantifying Waddington's epigenetic landscape: a comparison of single-cell potency measures.
Briefings Bioinform., 2020
2019
ebGSEA: an improved Gene Set Enrichment Analysis method for Epigenome-Wide-Association Studies.
Bioinform., 2019
Bioinform., 2019
Accounting for differential variability in detecting differentially methylated regions.
Briefings Bioinform., 2019
2018
Bioinform., 2018
2017
Nucleic Acids Res., 2017
A comparison of reference-based algorithms for correcting cell-type heterogeneity in Epigenome-Wide Association Studies.
BMC Bioinform., 2017
Bioinform., 2017
2016
BMC Bioinform., 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
2015
Intra-Tumour Signalling Entropy Determines Clinical Outcome in Breast and Lung Cancer.
PLoS Comput. Biol., 2015
IEEE Trans. Pattern Anal. Mach. Intell., 2015
2014
PLoS Comput. Biol., 2014
BMC Syst. Biol., 2014
A systems-level integrative framework for genome-wide DNA methylation and gene expression data identifies differential gene expression modules under epigenetic control.
Bioinform., 2014
Capturing confounding sources of variation in DNA methylation data by spatiotemporal independent component analysis.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
2013
A variational Bayes beta Mixture Model for Feature Selection in DNA methylation Studies.
J. Bioinform. Comput. Biol., 2013
A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data.
Bioinform., 2013
2012
A comparison of feature selection and classification methods in DNA methylation studies using the Illumina Infinium platform.
BMC Bioinform., 2012
Differential variability improves the identification of cancer risk markers in DNA methylation studies profiling precursor cancer lesions.
Bioinform., 2012
2011
DART: Denoising Algorithm based on Relevance network Topology improves molecular pathway activity inference.
BMC Bioinform., 2011
Independent surrogate variable analysis to deconvolve confounding factors in large-scale microarray profiling studies.
Bioinform., 2011
2010
BMC Syst. Biol., 2010
2009
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009
2007
Elucidating the Altered Transcriptional Programs in Breast Cancer using Independent Component Analysis.
PLoS Comput. Biol., 2007
Geometric Optimization Methods for Independent Component Analysis Applied on Gene Expression Data.
Proceedings of the IEEE International Conference on Acoustics, 2007
2006
PACK: Profile Analysis using Clustering and Kurtosis to find molecular classifiers in cancer.
Bioinform., 2006
2005
A variational Bayesian mixture modelling framework for cluster analysis of gene-expression data.
Bioinform., 2005