A citation-based method for searching scientific literature

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
Times Cited: 355







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



Times Cited
  Times     Co-cited
Similarity


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
43

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
23

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
967
21

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
21

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
801
17

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
723
17


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
325
17

Adjusting batch effects in microarray expression data using empirical Bayes methods.
W Evan Johnson, Cheng Li, Ariel Rabinovic. Biostatistics 2007
16

Functional normalization of 450k methylation array data improves replication in large cancer studies.
Jean-Philippe Fortin, Aurélie Labbe, Mathieu Lemire, Brent W Zanke, Thomas J Hudson, Elana J Fertig, Celia Mt Greenwood, Kasper D Hansen. Genome Biol 2014
322
15

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
14

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
299
13

Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi.
Jean-Philippe Fortin, Timothy J Triche, Kasper D Hansen. Bioinformatics 2017
192
11

ChAMP: 450k Chip Analysis Methylation Pipeline.
Tiffany J Morris, Lee M Butcher, Andrew Feber, Andrew E Teschendorff, Ankur R Chakravarthy, Tomasz K Wojdacz, Stephan Beck. Bioinformatics 2014
390
10

Epigenetic Signatures of Cigarette Smoking.
Roby Joehanes, Allan C Just, Riccardo E Marioni, Luke C Pilling, Lindsay M Reynolds, Pooja R Mandaviya, Weihua Guan, Tao Xu, Cathy E Elks, Stella Aslibekyan,[...]. Circ Cardiovasc Genet 2016
332
10

ENmix: a novel background correction method for Illumina HumanMethylation450 BeadChip.
Zongli Xu, Liang Niu, Leping Li, Jack A Taylor. Nucleic Acids Res 2016
112
10


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
482
10

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


Tobacco smoking leads to extensive genome-wide changes in DNA methylation.
Sonja Zeilinger, Brigitte Kühnel, Norman Klopp, Hansjörg Baurecht, Anja Kleinschmidt, Christian Gieger, Stephan Weidinger, Eva Lattka, Jerzy Adamski, Annette Peters,[...]. PLoS One 2013
450
9

DNA methylation and human disease.
Keith D Robertson. Nat Rev Genet 2005
9


missMethyl: an R package for analyzing data from Illumina's HumanMethylation450 platform.
Belinda Phipson, Jovana Maksimovic, Alicia Oshlack. Bioinformatics 2016
204
8

Guidance for DNA methylation studies: statistical insights from the Illumina EPIC array.
Georgina Mansell, Tyler J Gorrie-Stone, Yanchun Bao, Meena Kumari, Leonard S Schalkwyk, Jonathan Mill, Eilis Hannon. BMC Genomics 2019
50
16

The correlation of methylation levels measured using Illumina 450K and EPIC BeadChips in blood samples.
Mark W Logue, Alicia K Smith, Erika J Wolf, Hannah Maniates, Annjanette Stone, Steven A Schichman, Regina E McGlinchey, William Milberg, Mark W Miller. Epigenomics 2017
51
15


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
377
8

Identification of polymorphic and off-target probe binding sites on the Illumina Infinium MethylationEPIC BeadChip.
Daniel L McCartney, Rosie M Walker, Stewart W Morris, Andrew M McIntosh, David J Porteous, Kathryn L Evans. Genom Data 2016
81
8

DNA Methylation in Newborns and Maternal Smoking in Pregnancy: Genome-wide Consortium Meta-analysis.
Bonnie R Joubert, Janine F Felix, Paul Yousefi, Kelly M Bakulski, Allan C Just, Carrie Breton, Sarah E Reese, Christina A Markunas, Rebecca C Richmond, Cheng-Jian Xu,[...]. Am J Hum Genet 2016
368
7

RCP: a novel probe design bias correction method for Illumina Methylation BeadChip.
Liang Niu, Zongli Xu, Jack A Taylor. Bioinformatics 2016
44
15

High density DNA methylation array with single CpG site resolution.
Marina Bibikova, Bret Barnes, Chan Tsan, Vincent Ho, Brandy Klotzle, Jennie M Le, David Delano, Lu Zhang, Gary P Schroth, Kevin L Gunderson,[...]. Genomics 2011
983
7

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
756
7

Genome-wide DNA methylation profiling using Infinium® assay.
Marina Bibikova, Jennie Le, Bret Barnes, Shadi Saedinia-Melnyk, Lixin Zhou, Richard Shen, Kevin L Gunderson. Epigenomics 2009
386
7

A cross-package Bioconductor workflow for analysing methylation array data.
Jovana Maksimovic, Belinda Phipson, Alicia Oshlack. F1000Res 2016
50
14

Functional annotation of the human brain methylome identifies tissue-specific epigenetic variation across brain and blood.
Matthew N Davies, Manuela Volta, Ruth Pidsley, Katie Lunnon, Abhishek Dixit, Simon Lovestone, Cristian Coarfa, R Alan Harris, Aleksandar Milosavljevic, Claire Troakes,[...]. Genome Biol 2012
445
6

Bioconductor: open software development for computational biology and bioinformatics.
Robert C Gentleman, Vincent J Carey, Douglas M Bates, Ben Bolstad, Marcel Dettling, Sandrine Dudoit, Byron Ellis, Laurent Gautier, Yongchao Ge, Jeff Gentry,[...]. Genome Biol 2004
6

Small-Magnitude Effect Sizes in Epigenetic End Points are Important in Children's Environmental Health Studies: The Children's Environmental Health and Disease Prevention Research Center's Epigenetics Working Group.
Carrie V Breton, Carmen J Marsit, Elaine Faustman, Kari Nadeau, Jaclyn M Goodrich, Dana C Dolinoy, Julie Herbstman, Nina Holland, Janine M LaSalle, Rebecca Schmidt,[...]. Environ Health Perspect 2017
128
6





Systematic identification of genetic influences on methylation across the human life course.
Tom R Gaunt, Hashem A Shihab, Gibran Hemani, Josine L Min, Geoff Woodward, Oliver Lyttleton, Jie Zheng, Aparna Duggirala, Wendy L McArdle, Karen Ho,[...]. Genome Biol 2016
249
6

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
150
6

RnBeads 2.0: comprehensive analysis of DNA methylation data.
Fabian Müller, Michael Scherer, Yassen Assenov, Pavlo Lutsik, Jörn Walter, Thomas Lengauer, Christoph Bock. Genome Biol 2019
51
11

Leveraging DNA-Methylation Quantitative-Trait Loci to Characterize the Relationship between Methylomic Variation, Gene Expression, and Complex Traits.
Eilis Hannon, Tyler J Gorrie-Stone, Melissa C Smart, Joe Burrage, Amanda Hughes, Yanchun Bao, Meena Kumari, Leonard C Schalkwyk, Jonathan Mill. Am J Hum Genet 2018
39
15

Epigenome-wide association studies for common human diseases.
Vardhman K Rakyan, Thomas A Down, David J Balding, Stephan Beck. Nat Rev Genet 2011
734
5

Additional annotation enhances potential for biologically-relevant analysis of the Illumina Infinium HumanMethylation450 BeadChip array.
Magda E Price, Allison M Cotton, Lucia L Lam, Pau Farré, Eldon Emberly, Carolyn J Brown, Wendy P Robinson, Michael S Kobor. Epigenetics Chromatin 2013
295
5

An epigenetic biomarker of aging for lifespan and healthspan.
Morgan E Levine, Ake T Lu, Austin Quach, Brian H Chen, Themistocles L Assimes, Stefania Bandinelli, Lifang Hou, Andrea A Baccarelli, James D Stewart, Yun Li,[...]. Aging (Albany NY) 2018
386
5

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
5


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.