A citation-based method for searching scientific literature

Hung Nguyen, Sangam Shrestha, Sorin Draghici, Tin Nguyen. Bioinformatics 2019
Times Cited: 34







List of co-cited articles
229 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
672
73

A novel approach for data integration and disease subtyping.
Tin Nguyen, Rebecca Tagett, Diana Diaz, Sorin Draghici. Genome Res 2017
73
58

NEMO: cancer subtyping by integration of partial multi-omic data.
Nimrod Rappoport, Ron Shamir. Bioinformatics 2019
54
58


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
217
50




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
71
38

More Is Better: Recent Progress in Multi-Omics Data Integration Methods.
Sijia Huang, Kumardeep Chaudhary, Lana X Garmire. Front Genet 2017
304
35

Multi-omics Data Integration, Interpretation, and Its Application.
Indhupriya Subramanian, Srikant Verma, Shiva Kumar, Abhay Jere, Krishanpal Anamika. Bioinform Biol Insights 2020
222
35

Bayesian consensus clustering.
Eric F Lock, David B Dunson. Bioinformatics 2013
112
32

Multi-omic tumor data reveal diversity of molecular mechanisms that correlate with survival.
Daniele Ramazzotti, Avantika Lal, Bo Wang, Serafim Batzoglou, Arend Sidow. Nat Commun 2018
64
29

moCluster: Identifying Joint Patterns Across Multiple Omics Data Sets.
Chen Meng, Dominic Helm, Martin Frejno, Bernhard Kuster. J Proteome Res 2016
46
29

Extensions of sparse canonical correlation analysis with applications to genomic data.
Daniela M Witten, Robert J Tibshirani. Stat Appl Genet Mol Biol 2009
214
29

Bayesian correlated clustering to integrate multiple datasets.
Paul Kirk, Jim E Griffin, Richard S Savage, Zoubin Ghahramani, David L Wild. Bioinformatics 2012
116
29

JOINT AND INDIVIDUAL VARIATION EXPLAINED (JIVE) FOR INTEGRATED ANALYSIS OF MULTIPLE DATA TYPES.
Eric F Lock, Katherine A Hoadley, J S Marron, Andrew B Nobel. Ann Appl Stat 2013
180
26

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
177
26

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

Pattern fusion analysis by adaptive alignment of multiple heterogeneous omics data.
Qianqian Shi, Chuanchao Zhang, Minrui Peng, Xiangtian Yu, Tao Zeng, Juan Liu, Luonan Chen. Bioinformatics 2017
36
23

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
274
23

A multivariate approach to the integration of multi-omics datasets.
Chen Meng, Bernhard Kuster, Aedín C Culhane, Amin Moghaddas Gholami. BMC Bioinformatics 2014
128
23

Evaluation of integrative clustering methods for the analysis of multi-omics data.
Cécile Chauvel, Alexei Novoloaca, Pierre Veyre, Frédéric Reynier, Jérémie Becker. Brief Bioinform 2020
26
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
23

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
187
20

Multi-omics integration-a comparison of unsupervised clustering methodologies.
Giulia Tini, Luca Marchetti, Corrado Priami, Marie-Pier Scott-Boyer. Brief Bioinform 2019
54
20

Integrative subtype discovery in glioblastoma using iCluster.
Ronglai Shen, Qianxing Mo, Nikolaus Schultz, Venkatraman E Seshan, Adam B Olshen, Jason Huse, Marc Ladanyi, Chris Sander. PLoS One 2012
130
20

Multi-omics approaches to disease.
Yehudit Hasin, Marcus Seldin, Aldons Lusis. Genome Biol 2017
695
20

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
481
20

Network-based integration of multi-omics data for prioritizing cancer genes.
Christos Dimitrakopoulos, Sravanth Kumar Hindupur, Luca Häfliger, Jonas Behr, Hesam Montazeri, Michael N Hall, Niko Beerenwinkel. Bioinformatics 2018
76
17

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
455
17

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
17

Simultaneous analysis of distinct Omics data sets with integration of biological knowledge: Multiple Factor Analysis approach.
Marie de Tayrac, Sébastien Lê, Marc Aubry, Jean Mosser, François Husson. BMC Genomics 2009
62
17

Unsupervised multiple kernel learning for heterogeneous data integration.
Jérôme Mariette, Nathalie Villa-Vialaneix. Bioinformatics 2018
38
17

The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups.
Christina Curtis, Sohrab P Shah, Suet-Feung Chin, Gulisa Turashvili, Oscar M Rueda, Mark J Dunning, Doug Speed, Andy G Lynch, Shamith Samarajiwa, Yinyin Yuan,[...]. Nature 2012
17




Onco-Multi-OMICS Approach: A New Frontier in Cancer Research.
Sajib Chakraborty, Md Ismail Hosen, Musaddeque Ahmed, Hossain Uddin Shekhar. Biomed Res Int 2018
116
14

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
83
14

R.JIVE for exploration of multi-source molecular data.
Michael J O'Connell, Eric F Lock. Bioinformatics 2016
28
17

The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data.
Ethan Cerami, Jianjiong Gao, Ugur Dogrusoz, Benjamin E Gross, Selcuk Onur Sumer, Bülent Arman Aksoy, Anders Jacobsen, Caitlin J Byrne, Michael L Heuer, Erik Larsson,[...]. Cancer Discov 2012
14

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
328
14

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
876
14

CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization.
Taosheng Xu, Thuc Duy Le, Lin Liu, Ning Su, Rujing Wang, Bingyu Sun, Antonio Colaprico, Gianluca Bontempi, Jiuyong Li. Bioinformatics 2017
97
11


Bayesian joint analysis of heterogeneous genomics data.
Priyadip Ray, Lingling Zheng, Joseph Lucas, Lawrence Carin. Bioinformatics 2014
39
11

Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal.
Jianjiong Gao, Bülent Arman Aksoy, Ugur Dogrusoz, Gideon Dresdner, Benjamin Gross, S Onur Sumer, Yichao Sun, Anders Jacobsen, Rileen Sinha, Erik Larsson,[...]. Sci Signal 2013
11


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.