A citation-based method for searching scientific literature

Eric F Lock, Katherine A Hoadley, J S Marron, Andrew B Nobel. Ann Appl Stat 2013
Times Cited: 174







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



Times Cited
  Times     Co-cited
Similarity


Similarity network fusion for aggregating data types on a genomic scale.
Bo Wang, Aziz M Mezlini, Feyyaz Demir, Marc Fiume, Zhuowen Tu, Michael Brudno, Benjamin Haibe-Kains, Anna Goldenberg. Nat Methods 2014
657
47


Multi-Omics Factor Analysis-a framework for unsupervised integration of multi-omics data sets.
Ricard Argelaguet, Britta Velten, Damien Arnol, Sascha Dietrich, Thorsten Zenz, John C Marioni, Florian Buettner, Wolfgang Huber, Oliver Stegle. Mol Syst Biol 2018
260
30

Pattern discovery and cancer gene identification in integrated cancer genomic data.
Qianxing Mo, Sijian Wang, Venkatraman E Seshan, Adam B Olshen, Nikolaus Schultz, Chris Sander, R Scott Powers, Marc Ladanyi, Ronglai Shen. Proc Natl Acad Sci U S A 2013
214
29

Bayesian consensus clustering.
Eric F Lock, David B Dunson. Bioinformatics 2013
109
29



More Is Better: Recent Progress in Multi-Omics Data Integration Methods.
Sijia Huang, Kumardeep Chaudhary, Lana X Garmire. Front Genet 2017
298
24


Bayesian correlated clustering to integrate multiple datasets.
Paul Kirk, Jim E Griffin, Richard S Savage, Zoubin Ghahramani, David L Wild. Bioinformatics 2012
116
23

Discovery of multi-dimensional modules by integrative analysis of cancer genomic data.
Shihua Zhang, Chun-Chi Liu, Wenyuan Li, Hui Shen, Peter W Laird, Xianghong Jasmine Zhou. Nucleic Acids Res 2012
176
22

Multi-omics integration-a comparison of unsupervised clustering methodologies.
Giulia Tini, Luca Marchetti, Corrado Priami, Marie-Pier Scott-Boyer. Brief Bioinform 2019
53
39

A fully Bayesian latent variable model for integrative clustering analysis of multi-type omics data.
Qianxing Mo, Ronglai Shen, Cui Guo, Marina Vannucci, Keith S Chan, Susan G Hilsenbeck. Biostatistics 2018
70
30


mixOmics: An R package for 'omics feature selection and multiple data integration.
Florian Rohart, Benoît Gautier, Amrit Singh, Kim-Anh Lê Cao. PLoS Comput Biol 2017
998
20


Multi-omics approaches to disease.
Yehudit Hasin, Marcus Seldin, Aldons Lusis. Genome Biol 2017
670
19

Methods for the integration of multi-omics data: mathematical aspects.
Matteo Bersanelli, Ettore Mosca, Daniel Remondini, Enrico Giampieri, Claudia Sala, Gastone Castellani, Luciano Milanesi. BMC Bioinformatics 2016
183
18

NEMO: cancer subtyping by integration of partial multi-omic data.
Nimrod Rappoport, Ron Shamir. Bioinformatics 2019
54
31

A Selective Review of Multi-Level Omics Data Integration Using Variable Selection.
Cen Wu, Fei Zhou, Jie Ren, Xiaoxi Li, Yu Jiang, Shuangge Ma. High Throughput 2019
81
19

Bayesian joint analysis of heterogeneous genomics data.
Priyadip Ray, Lingling Zheng, Joseph Lucas, Lawrence Carin. Bioinformatics 2014
38
39

Extensions of sparse canonical correlation analysis with applications to genomic data.
Daniela M Witten, Robert J Tibshirani. Stat Appl Genet Mol Biol 2009
213
15

Methods of integrating data to uncover genotype-phenotype interactions.
Marylyn D Ritchie, Emily R Holzinger, Ruowang Li, Sarah A Pendergrass, Dokyoon Kim. Nat Rev Genet 2015
448
15

Patient-specific data fusion defines prognostic cancer subtypes.
Yinyin Yuan, Richard S Savage, Florian Markowetz. PLoS Comput Biol 2011
59
23

Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin.
Katherine A Hoadley, Christina Yau, Denise M Wolf, Andrew D Cherniack, David Tamborero, Sam Ng, Max D M Leiserson, Beifang Niu, Michael D McLellan, Vladislav Uzunangelov,[...]. Cell 2014
866
14

The Cancer Genome Atlas Pan-Cancer analysis project.
John N Weinstein, Eric A Collisson, Gordon B Mills, Kenna R Mills Shaw, Brad A Ozenberger, Kyle Ellrott, Ilya Shmulevich, Chris Sander, Joshua M Stuart. Nat Genet 2013
14

A multivariate approach to the integration of multi-omics datasets.
Chen Meng, Bernhard Kuster, Aedín C Culhane, Amin Moghaddas Gholami. BMC Bioinformatics 2014
126
14

A novel approach for data integration and disease subtyping.
Tin Nguyen, Rebecca Tagett, Diana Diaz, Sorin Draghici. Genome Res 2017
71
19

Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction.
Guoxu Zhou, Andrzej Cichocki, Yu Zhang, Danilo P Mandic. IEEE Trans Neural Netw Learn Syst 2016
53
24

Multi-omics Data Integration, Interpretation, and Its Application.
Indhupriya Subramanian, Srikant Verma, Shiva Kumar, Abhay Jere, Krishanpal Anamika. Bioinform Biol Insights 2020
201
13

Inference of patient-specific pathway activities from multi-dimensional cancer genomics data using PARADIGM.
Charles J Vaske, Stephen C Benz, J Zachary Sanborn, Dent Earl, Christopher Szeto, Jingchun Zhu, David Haussler, Joshua M Stuart. Bioinformatics 2010
480
12

R.JIVE for exploration of multi-source molecular data.
Michael J O'Connell, Eric F Lock. Bioinformatics 2016
27
44

moCluster: Identifying Joint Patterns Across Multiple Omics Data Sets.
Chen Meng, Dominic Helm, Martin Frejno, Bernhard Kuster. J Proteome Res 2016
46
26

Deep Learning-Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer.
Kumardeep Chaudhary, Olivier B Poirion, Liangqun Lu, Lana X Garmire. Clin Cancer Res 2018
321
12

MOLI: multi-omics late integration with deep neural networks for drug response prediction.
Hossein Sharifi-Noghabi, Olga Zolotareva, Colin C Collins, Martin Ester. Bioinformatics 2019
76
15


Integrative multi-omics module network inference with Lemon-Tree.
Eric Bonnet, Laurence Calzone, Tom Michoel. PLoS Comput Biol 2015
53
20

Dimension reduction techniques for the integrative analysis of multi-omics data.
Chen Meng, Oana A Zeleznik, Gerhard G Thallinger, Bernhard Kuster, Amin M Gholami, Aedín C Culhane. Brief Bioinform 2016
140
11

A review on machine learning principles for multi-view biological data integration.
Yifeng Li, Fang-Xiang Wu, Alioune Ngom. Brief Bioinform 2018
146
11

DIABLO: an integrative approach for identifying key molecular drivers from multi-omics assays.
Amrit Singh, Casey P Shannon, Benoît Gautier, Florian Rohart, Michaël Vacher, Scott J Tebbutt, Kim-Anh Lê Cao. Bioinformatics 2019
167
11

Clusternomics: Integrative context-dependent clustering for heterogeneous datasets.
Evelina Gabasova, John Reid, Lorenz Wernisch. PLoS Comput Biol 2017
25
40


iBAG: integrative Bayesian analysis of high-dimensional multiplatform genomics data.
Wenting Wang, Veerabhadran Baladandayuthapani, Jeffrey S Morris, Bradley M Broom, Ganiraju Manyam, Kim-Anh Do. Bioinformatics 2013
87
11


Unsupervised multiple kernel learning for heterogeneous data integration.
Jérôme Mariette, Nathalie Villa-Vialaneix. Bioinformatics 2018
37
27

Supervised risk predictor of breast cancer based on intrinsic subtypes.
Joel S Parker, Michael Mullins, Maggie C U Cheang, Samuel Leung, David Voduc, Tammi Vickery, Sherri Davies, Christiane Fauron, Xiaping He, Zhiyuan Hu,[...]. J Clin Oncol 2009
9


Identifying multi-layer gene regulatory modules from multi-dimensional genomic data.
Wenyuan Li, Shihua Zhang, Chun-Chi Liu, Xianghong Jasmine Zhou. Bioinformatics 2012
73
12


PINSPlus: a tool for tumor subtype discovery in integrated genomic data.
Hung Nguyen, Sangam Shrestha, Sorin Draghici, Tin Nguyen. Bioinformatics 2019
34
26


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.