A citation-based method for searching scientific literature

Nimrod Rappoport, Ron Shamir. Bioinformatics 2019
Times Cited: 54







List of co-cited articles
410 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
88


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
51


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
51



A novel approach for data integration and disease subtyping.
Tin Nguyen, Rebecca Tagett, Diana Diaz, Sorin Draghici. Genome Res 2017
73
44

More Is Better: Recent Progress in Multi-Omics Data Integration Methods.
Sijia Huang, Kumardeep Chaudhary, Lana X Garmire. Front Genet 2017
304
37

PINSPlus: a tool for tumor subtype discovery in integrated genomic data.
Hung Nguyen, Sangam Shrestha, Sorin Draghici, Tin Nguyen. Bioinformatics 2019
34
58

Bayesian consensus clustering.
Eric F Lock, David B Dunson. Bioinformatics 2013
112
35

moCluster: Identifying Joint Patterns Across Multiple Omics Data Sets.
Chen Meng, Dominic Helm, Martin Frejno, Bernhard Kuster. J Proteome Res 2016
46
36

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
31

Multi-omics Data Integration, Interpretation, and Its Application.
Indhupriya Subramanian, Srikant Verma, Shiva Kumar, Abhay Jere, Krishanpal Anamika. Bioinform Biol Insights 2020
222
29

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
27

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
24

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
24

Extensions of sparse canonical correlation analysis with applications to genomic data.
Daniela M Witten, Robert J Tibshirani. Stat Appl Genet Mol Biol 2009
214
24

Bayesian correlated clustering to integrate multiple datasets.
Paul Kirk, Jim E Griffin, Richard S Savage, Zoubin Ghahramani, David L Wild. Bioinformatics 2012
116
24

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
22

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
20

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
20


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
20

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
18

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
27

Patient-specific data fusion defines prognostic cancer subtypes.
Yinyin Yuan, Richard S Savage, Florian Markowetz. PLoS Comput Biol 2011
59
18

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
78
18

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
16

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
16

Multi-omics approaches to disease.
Yehudit Hasin, Marcus Seldin, Aldons Lusis. Genome Biol 2017
695
16


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
16

Clusternomics: Integrative context-dependent clustering for heterogeneous datasets.
Evelina Gabasova, John Reid, Lorenz Wernisch. PLoS Comput Biol 2017
26
34

A hierarchical integration deep flexible neural forest framework for cancer subtype classification by integrating multi-omics data.
Jing Xu, Peng Wu, Yuehui Chen, Qingfang Meng, Hussain Dawood, Hassan Dawood. BMC Bioinformatics 2019
26
34

A multivariate approach to the integration of multi-omics datasets.
Chen Meng, Bernhard Kuster, Aedín C Culhane, Amin Moghaddas Gholami. BMC Bioinformatics 2014
128
14

Multi-omics integration-a comparison of unsupervised clustering methodologies.
Giulia Tini, Luca Marchetti, Corrado Priami, Marie-Pier Scott-Boyer. Brief Bioinform 2019
54
14

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
14

Integrative methods for analyzing big data in precision medicine.
Vladimir Gligorijević, Noël Malod-Dognin, Nataša Pržulj. Proteomics 2016
81
12

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
12

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
12


A comparative study of multi-omics integration tools for cancer driver gene identification and tumour subtyping.
Anita Sathyanarayanan, Rohit Gupta, Erik W Thompson, Dale R Nyholt, Denis C Bauer, Shivashankar H Nagaraj. Brief Bioinform 2020
25
28

iOmicsPASS: network-based integration of multiomics data for predictive subnetwork discovery.
Hiromi W L Koh, Damian Fermin, Christine Vogel, Kwok Pui Choi, Rob M Ewing, Hyungwon Choi. NPJ Syst Biol Appl 2019
44
15

SALMON: Survival Analysis Learning With Multi-Omics Neural Networks on Breast Cancer.
Zhi Huang, Xiaohui Zhan, Shunian Xiang, Travis S Johnson, Bryan Helm, Christina Y Yu, Jie Zhang, Paul Salama, Maher Rizkalla, Zhi Han,[...]. Front Genet 2019
62
12

An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics.
Jianfang Liu, Tara Lichtenberg, Katherine A Hoadley, Laila M Poisson, Alexander J Lazar, Andrew D Cherniack, Albert J Kovatich, Christopher C Benz, Douglas A Levine, Adrian V Lee,[...]. Cell 2018
11



Bayesian joint analysis of heterogeneous genomics data.
Priyadip Ray, Lingling Zheng, Joseph Lucas, Lawrence Carin. Bioinformatics 2014
39
15

R.JIVE for exploration of multi-source molecular data.
Michael J O'Connell, Eric F Lock. Bioinformatics 2016
28
21


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.