Andrew E. Teschendorff
Molecular Biology · 2007–2021
A researcher in the Science corpus: 13 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 264 citations into it
- Genetics — 77 citations into it
- Immunology — 10 citations into it
- Biophysics — 5 citations into it
Whom Andrew E. Teschendorff trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gordon K. Smyth
- Vardhman K. Rakyan
- Andrew E. Jaffe
- Johann A. Gagnon-Bartsch
- ENCODEConsortium
- Florian Buettner
- Laleh Haghverdi
- Eugene Andres Houseman
- Ethan G. Cerami
- Michael L. Whitfield
Who trusts Andrew E. Teschendorff overall
Papers from Andrew E. Teschendorff's perspective
Ordered by how strongly the researchers Andrew E. Teschendorff trusts endorse each paper. Same corpus, a different order for every researcher.
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Using control genes to correct for unwanted variation in microarray data. (Biostatistics)
- Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
- Gene Ontology: tool for the unification of biology
- Comprehensive analysis of CpG islands in human chromosomes 21 and 22 (Proceedings of the National Academy of Sciences of the United States of America)
- Molecular portraits of human breast tumours (Nature)
- Epigenome-Wide Association Studies for common human diseases (Nature reviews genetics)
- The epigenomics of cancer. (Cell)
- Differential DNA Methylation in Purified Human Blood Cells: Implications for Cell Lineage and Studies on Disease Susceptibility (PLoS ONE)
- DNA methylation arrays as surrogate measures of cell mixture distribution (BMC Bioinformatics)
Their papers
- Age-dependent DNA methylation of genes that are suppressed in stem cells is a hallmark of cancer. (2010) — 867 citations
- Mutational evolution in a lobular breast tumour profiled at single nucleotide resolution (2009) — 1,143 citations
- A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data (2012) — 1,542 citations
- ChAMP: 450k Chip Analysis Methylation Pipeline (2014) — 887 citations
- MicroRNA expression profiling of human breast cancer identifies new markers of tumor subtype (2007) — 1,015 citations
- eFORGE: A Tool for Identifying Cell Type-Specific Signal in Epigenomic Data (2016) — 120 citations
- DNA methylation aging clocks: challenges and recommendations (2019) — 841 citations
- Data integration in the era of omics: current and future challenges (2014) — 379 citations
- Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2022 (2021) — 890 citations
- Tumor origin detection with tissue‐specific miRNA and DNA methylation markers (2018) — 315 citations
- Single-cell entropy for accurate estimation of differentiation potency from a cell's transcriptome (2017) — 304 citations
- ChAMP: updated methylation analysis pipeline for Illumina BeadChips (2017) — 845 citations
- A comparison of reference-based algorithms for correcting cell-type heterogeneity in Epigenome-Wide Association Studies (2017) — 416 citations