A citation-based method for searching scientific literature

Andrew E Teschendorff, Shijie C Zheng. Epigenomics 2017
Times Cited: 74







List of co-cited articles
528 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


DNA methylation arrays as surrogate measures of cell mixture distribution.
Eugene Andres Houseman, William P Accomando, Devin C Koestler, Brock C Christensen, Carmen J Marsit, Heather H Nelson, John K Wiencke, Karl T Kelsey. BMC Bioinformatics 2012
40

Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays.
Martin J Aryee, Andrew E Jaffe, Hector Corrada-Bravo, Christine Ladd-Acosta, Andrew P Feinberg, Kasper D Hansen, Rafael A Irizarry. Bioinformatics 2014
31

A comparison of reference-based algorithms for correcting cell-type heterogeneity in Epigenome-Wide Association Studies.
Andrew E Teschendorff, Charles E Breeze, Shijie C Zheng, Stephan Beck. BMC Bioinformatics 2017
133
25

Robust enumeration of cell subsets from tissue expression profiles.
Aaron M Newman, Chih Long Liu, Michael R Green, Andrew J Gentles, Weiguo Feng, Yue Xu, Chuong D Hoang, Maximilian Diehn, Ash A Alizadeh. Nat Methods 2015
21




An optimized library for reference-based deconvolution of whole-blood biospecimens assayed using the Illumina HumanMethylationEPIC BeadArray.
Lucas A Salas, Devin C Koestler, Rondi A Butler, Helen M Hansen, John K Wiencke, Karl T Kelsey, Brock C Christensen. Genome Biol 2018
97
17

An evaluation of methods correcting for cell-type heterogeneity in DNA methylation studies.
Kevin McGregor, Sasha Bernatsky, Ines Colmegna, Marie Hudson, Tomi Pastinen, Aurélie Labbe, Celia M T Greenwood. Genome Biol 2016
91
16

Differential DNA methylation in purified human blood cells: implications for cell lineage and studies on disease susceptibility.
Lovisa E Reinius, Nathalie Acevedo, Maaike Joerink, Göran Pershagen, Sven-Erik Dahlén, Dario Greco, Cilla Söderhäll, Annika Scheynius, Juha Kere. PLoS One 2012
655
16

Improving cell mixture deconvolution by identifying optimal DNA methylation libraries (IDOL).
Devin C Koestler, Meaghan J Jones, Joseph Usset, Brock C Christensen, Rondi A Butler, Michael S Kobor, John K Wiencke, Karl T Kelsey. BMC Bioinformatics 2016
66
18

Epigenome-wide association studies without the need for cell-type composition.
James Zou, Christoph Lippert, David Heckerman, Martin Aryee, Jennifer Listgarten. Nat Methods 2014
134
16

Statistical and integrative system-level analysis of DNA methylation data.
Andrew E Teschendorff, Caroline L Relton. Nat Rev Genet 2018
129
14

Reference-free cell mixture adjustments in analysis of DNA methylation data.
Eugene Andres Houseman, John Molitor, Carmen J Marsit. Bioinformatics 2014
274
13

Epigenome-wide association data implicate DNA methylation as an intermediary of genetic risk in rheumatoid arthritis.
Yun Liu, Martin J Aryee, Leonid Padyukov, M Daniele Fallin, Espen Hesselberg, Arni Runarsson, Lovisa Reinius, Nathalie Acevedo, Margaret Taub, Marcus Ronninger,[...]. Nat Biotechnol 2013
599
13

Cell type specific DNA methylation in cord blood: A 450K-reference data set and cell count-based validation of estimated cell type composition.
Kristina Gervin, Christian Magnus Page, Hans Christian D Aass, Michelle A Jansen, Heidi Elisabeth Fjeldstad, Bettina Kulle Andreassen, Liesbeth Duijts, Joyce B van Meurs, Menno C van Zelm, Vincent W Jaddoe,[...]. Epigenetics 2016
45
20

Sparse PCA corrects for cell type heterogeneity in epigenome-wide association studies.
Elior Rahmani, Noah Zaitlen, Yael Baran, Celeste Eng, Donglei Hu, Joshua Galanter, Sam Oh, Esteban G Burchard, Eleazar Eskin, James Zou,[...]. Nat Methods 2016
120
12

Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity.
Simone Wahl, Alexander Drong, Benjamin Lehne, Marie Loh, William R Scott, Sonja Kunze, Pei-Chien Tsai, Janina S Ried, Weihua Zhang, Youwen Yang,[...]. Nature 2017
437
12

DNA methylation of cord blood cell types: Applications for mixed cell birth studies.
Kelly M Bakulski, Jason I Feinberg, Shan V Andrews, Jack Yang, Shannon Brown, Stephanie L McKenney, Frank Witter, Jeremy Walston, Andrew P Feinberg, M Daniele Fallin. Epigenetics 2016
176
12

Cell-type deconvolution from DNA methylation: a review of recent applications.
Alexander J Titus, Rachel M Gallimore, Lucas A Salas, Brock C Christensen. Hum Mol Genet 2017
68
13

Critical evaluation of the Illumina MethylationEPIC BeadChip microarray for whole-genome DNA methylation profiling.
Ruth Pidsley, Elena Zotenko, Timothy J Peters, Mitchell G Lawrence, Gail P Risbridger, Peter Molloy, Susan Van Djik, Beverly Muhlhausler, Clare Stirzaker, Susan J Clark. Genome Biol 2016
457
12

limma powers differential expression analyses for RNA-sequencing and microarray studies.
Matthew E Ritchie, Belinda Phipson, Di Wu, Yifang Hu, Charity W Law, Wei Shi, Gordon K Smyth. Nucleic Acids Res 2015
12

Independent surrogate variable analysis to deconvolve confounding factors in large-scale microarray profiling studies.
Andrew E Teschendorff, Joanna Zhuang, Martin Widschwendter. Bioinformatics 2011
163
10

Reference-free deconvolution of DNA methylation data and mediation by cell composition effects.
E Andres Houseman, Molly L Kile, David C Christiani, Tan A Ince, Karl T Kelsey, Carmen J Marsit. BMC Bioinformatics 2016
118
10

Charting a dynamic DNA methylation landscape of the human genome.
Michael J Ziller, Hongcang Gu, Fabian Müller, Julie Donaghey, Linus T-Y Tsai, Oliver Kohlbacher, Philip L De Jager, Evan D Rosen, David A Bennett, Bradley E Bernstein,[...]. Nature 2013
805
10

Epigenome-wide association studies for common human diseases.
Vardhman K Rakyan, Thomas A Down, David J Balding, Stephan Beck. Nat Rev Genet 2011
775
10

Adjusting batch effects in microarray expression data using empirical Bayes methods.
W Evan Johnson, Cheng Li, Ariel Rabinovic. Biostatistics 2007
10

missMethyl: an R package for analyzing data from Illumina's HumanMethylation450 platform.
Belinda Phipson, Jovana Maksimovic, Alicia Oshlack. Bioinformatics 2016
291
10

Discovery of cross-reactive probes and polymorphic CpGs in the Illumina Infinium HumanMethylation450 microarray.
Yi-an Chen, Mathieu Lemire, Sanaa Choufani, Darci T Butcher, Daria Grafodatskaya, Brent W Zanke, Steven Gallinger, Thomas J Hudson, Rosanna Weksberg. Epigenetics 2013
877
10

Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis.
Pan Du, Xiao Zhang, Chiang-Ching Huang, Nadereh Jafari, Warren A Kibbe, Lifang Hou, Simon M Lin. BMC Bioinformatics 2010
10

Low-level processing of Illumina Infinium DNA Methylation BeadArrays.
Timothy J Triche, Daniel J Weisenberger, David Van Den Berg, Peter W Laird, Kimberly D Siegmund. Nucleic Acids Res 2013
365
10


DNA Methylation-Derived Neutrophil-to-Lymphocyte Ratio: An Epigenetic Tool to Explore Cancer Inflammation and Outcomes.
Devin C Koestler, Joseph Usset, Brock C Christensen, Carmen J Marsit, Margaret R Karagas, Karl T Kelsey, John K Wiencke. Cancer Epidemiol Biomarkers Prev 2017
42
16

Correcting for cell-type heterogeneity in epigenome-wide association studies: revisiting previous analyses.
Shijie C Zheng, Stephan Beck, Andrew E Jaffe, Devin C Koestler, Kasper D Hansen, Andres E Houseman, Rafael A Irizarry, Andrew E Teschendorff. Nat Methods 2017
47
14

The prognostic landscape of genes and infiltrating immune cells across human cancers.
Andrew J Gentles, Aaron M Newman, Chih Long Liu, Scott V Bratman, Weiguo Feng, Dongkyoon Kim, Viswam S Nair, Yue Xu, Amanda Khuong, Chuong D Hoang,[...]. Nat Med 2015
9

Genome-wide methylation profiles reveal quantitative views of human aging rates.
Gregory Hannum, Justin Guinney, Ling Zhao, Li Zhang, Guy Hughes, SriniVas Sadda, Brandy Klotzle, Marina Bibikova, Jian-Bing Fan, Yuan Gao,[...]. Mol Cell 2013
9

Integrative analysis of 111 reference human epigenomes.
Anshul Kundaje, Wouter Meuleman, Jason Ernst, Misha Bilenky, Angela Yen, Alireza Heravi-Moussavi, Pouya Kheradpour, Zhizhuo Zhang, Jianrong Wang, Michael J Ziller,[...]. Nature 2015
9

The sva package for removing batch effects and other unwanted variation in high-throughput experiments.
Jeffrey T Leek, W Evan Johnson, Hilary S Parker, Andrew E Jaffe, John D Storey. Bioinformatics 2012
9

Immunomethylomic approach to explore the blood neutrophil lymphocyte ratio (NLR) in glioma survival.
John K Wiencke, Devin C Koestler, Lucas A Salas, Joseph L Wiemels, Ritu P Roy, Helen M Hansen, Terri Rice, Lucie S McCoy, Paige M Bracci, Annette M Molinaro,[...]. Clin Epigenetics 2017
38
15

Comparison of different cell type correction methods for genome-scale epigenetics studies.
Akhilesh Kaushal, Hongmei Zhang, Wilfried J J Karmaus, Meredith Ray, Mylin A Torres, Alicia K Smith, Shu-Li Wang. BMC Bioinformatics 2017
39
15

Quantitative reconstruction of leukocyte subsets using DNA methylation.
William P Accomando, John K Wiencke, E Andres Houseman, Heather H Nelson, Karl T Kelsey. Genome Biol 2014
95
8


A data-driven approach to preprocessing Illumina 450K methylation array data.
Ruth Pidsley, Chloe C Y Wong, Manuela Volta, Katie Lunnon, Jonathan Mill, Leonard C Schalkwyk. BMC Genomics 2013
544
8


A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data.
Andrew E Teschendorff, Francesco Marabita, Matthias Lechner, Thomas Bartlett, Jesper Tegner, David Gomez-Cabrero, Stephan Beck. Bioinformatics 2013
813
8



Recommendations for the design and analysis of epigenome-wide association studies.
Karin B Michels, Alexandra M Binder, Sarah Dedeurwaerder, Charles B Epstein, John M Greally, Ivo Gut, E Andres Houseman, Benedetta Izzi, Karl T Kelsey, Alexander Meissner,[...]. Nat Methods 2013
237
8

Pan-cancer deconvolution of tumour composition using DNA methylation.
Ankur Chakravarthy, Andrew Furness, Kroopa Joshi, Ehsan Ghorani, Kirsty Ford, Matthew J Ward, Emma V King, Matt Lechner, Teresa Marafioti, Sergio A Quezada,[...]. Nat Commun 2018
98
8

De novo identification of differentially methylated regions in the human genome.
Timothy J Peters, Michael J Buckley, Aaron L Statham, Ruth Pidsley, Katherine Samaras, Reginald V Lord, Susan J Clark, Peter L Molloy. Epigenetics Chromatin 2015
412
8


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.