What is he best known for?
The fields of study he is best known for:
Andrew E. Teschendorff mainly investigates DNA methylation, Epigenetics, Bioinformatics, Genetics and Breast cancer.
His DNA methylation study incorporates themes from Methylation, Computational biology and Data mining.
The concepts of his Computational biology study are interwoven with issues in Human genome and Genotype.
The Epigenetics study combines topics in areas such as Cellular differentiation, Epigenomics, Internal medicine, Epigenesis and Colorectal cancer.
His Bioinformatics study combines topics from a wide range of disciplines, such as Type 1 diabetes and Diabetic nephropathy.
His studies in Breast cancer integrate themes in fields like Comparative genomic hybridization and Gene expression profiling.
His most cited work include:
- Mutational evolution in a lobular breast tumour profiled at single nucleotide resolution (915 citations)
- A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data (812 citations)
- MicroRNA expression profiling of human breast cancer identifies new markers of tumor subtype (803 citations)
What are the main themes of his work throughout his whole career to date?
Andrew E. Teschendorff mostly deals with DNA methylation, Epigenetics, Computational biology, Genetics and Cancer.
His biological study spans a wide range of topics, including Cancer research and Methylation.
Within one scientific family, Andrew E. Teschendorff focuses on topics pertaining to Carcinogenesis under Epigenetics, and may sometimes address concerns connected to Molecular biology.
His work deals with themes such as Interaction network, Cancer stem cell, Transcriptome and Genetic association, which intersect with Computational biology.
As part of the same scientific family, Andrew E. Teschendorff usually focuses on Cancer, concentrating on Transcription factor and intersecting with RNA-Seq.
His Breast cancer study deals with Oncology intersecting with Immunology.
He most often published in these fields:
- DNA methylation (79.05%)
- Epigenetics (52.57%)
- Computational biology (49.01%)
What were the highlights of his more recent work (between 2017-2021)?
- DNA methylation (79.05%)
- Computational biology (49.01%)
- Epigenetics (52.57%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are DNA methylation, Computational biology, Epigenetics, CpG site and Epigenome.
His research integrates issues of Cancer research and Cell type in his study of DNA methylation.
Andrew E. Teschendorff works mostly in the field of Cancer research, limiting it down to concerns involving Cancer and, occasionally, Buccal swab.
His Computational biology research includes themes of Epigenomics, RNA-Seq, Genetic association and Regulation of gene expression.
His research on Epigenetics concerns the broader Genetics.
His CpG site research includes elements of Methylation, Genome-wide association study, Selection, Lung cancer and Peripheral blood.
Between 2017 and 2021, his most popular works were:
- DNA methylation aging clocks: challenges and recommendations (142 citations)
- DNA methylation aging clocks: challenges and recommendations (142 citations)
- Tumor origin detection with tissue-specific miRNA and DNA methylation markers. (135 citations)
In his most recent research, the most cited papers focused on:
His scientific interests lie mostly in DNA methylation, Computational biology, CpG site, Epigenetics and Epigenome.
His study brings together the fields of Oncology and DNA methylation.
His work in Computational biology addresses issues such as Epigenomics, which are connected to fields such as Epigenome editing, Chromatin and Cell type specific.
His CpG site study integrates concerns from other disciplines, such as Genome-wide association study, Methylation, Medical genetics, Cell type and dNaM.
His Epigenetics research is classified as research in Genetics.
His work in Epigenome addresses subjects such as Cancer, which are connected to disciplines such as Bioinformatics and Exposome.
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