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.
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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

eFORGE v2.0: updated analysis of cell type-specific signal in epigenomic data.
Bioinform., 2019

Accounting for differential variability in detecting differentially methylated regions.
Briefings Bioinform., 2019

2018
Tumor origin detection with tissue-specific miRNA and DNA methylation markers.
Bioinform., 2018

2017
dbDEMC 2.0: updated database of differentially expressed miRNAs in human cancers.
Nucleic Acids Res., 2017

A comparison of reference-based algorithms for correcting cell-type heterogeneity in Epigenome-Wide Association Studies.
BMC Bioinform., 2017

ChAMP: updated methylation analysis pipeline for Illumina BeadChips.
Bioinform., 2017

2016
Stochastic epigenetic outliers can define field defects in cancer.
BMC Bioinform., 2016

Spatiotemporal ICA improves the selection of differentially expressed genes.
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

Variational Bayesian Matrix Factorization for Bounded Support Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

2014
The Dynamics of DNA Methylation Covariation Patterns in Carcinogenesis.
PLoS Comput. Biol., 2014

Data integration in the era of omics: current and future challenges.
BMC Syst. Biol., 2014

ChAMP: 450k Chip Analysis Methylation Pipeline.
Bioinform., 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
Increased entropy of signal transduction in the cancer metastasis phenotype.
BMC Syst. Biol., 2010

2009
Gene expression data analysis using spatiotemporal blind source separation.
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


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