A citation-based method for searching scientific literature

Subtype-GAN: a deep learning approach for integrative cancer subtyping of multi-omics data.
Hai Yang, Rui Chen, Dongdong Li, Zhe Wang. Bioinformatics 2021
Times Cited: 19






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



Times Cited
  Times     Co-cited
Similarity


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
82
2
10

Bayesian joint analysis of heterogeneous genomics data.
Priyadip Ray, Lingling Zheng, Joseph Lucas, Lawrence Carin. Bioinformatics 2014
43
2
10

Integrative multi-omics module network inference with Lemon-Tree.
Eric Bonnet, Laurence Calzone, Tom Michoel. PLoS Comput Biol 2015
58
2
10

Network-Based Interpretation of Diverse High-Throughput Datasets through the Omics Integrator Software Package.
Nurcan Tuncbag, Sara J C Gosline, Amanda Kedaigle, Anthony R Soltis, Anthony Gitter, Ernest Fraenkel. PLoS Comput Biol 2016
77
2
10

R.JIVE for exploration of multi-source molecular data.
Michael J O'Connell, Eric F Lock. Bioinformatics 2016
30
2
10

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
49
2
10

An integrated approach to uncover drivers of cancer.
Uri David Akavia, Oren Litvin, Jessica Kim, Felix Sanchez-Garcia, Dylan Kotliar, Helen C Causton, Panisa Pochanard, Eyal Mozes, Levi A Garraway, Dana Pe'er. Cell 2010
337
2
10

Identification of a CpG island methylator phenotype that defines a distinct subgroup of glioma.
Houtan Noushmehr, Daniel J Weisenberger, Kristin Diefes, Heidi S Phillips, Kanan Pujara, Benjamin P Berman, Fei Pan, Christopher E Pelloski, Erik P Sulman, Krishna P Bhat,[...]. Cancer Cell 2010
1651
2
10

Causal integration of multi-omics data with prior knowledge to generate mechanistic hypotheses.
Aurelien Dugourd, Christoph Kuppe, Marco Sciacovelli, Enio Gjerga, Attila Gabor, Kristina B Emdal, Vitor Vieira, Dorte B Bekker-Jensen, Jennifer Kranz, Eric M J Bindels,[...]. Mol Syst Biol 2021
35
2
10

Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes.
Mark D M Leiserson, Fabio Vandin, Hsin-Ta Wu, Jason R Dobson, Jonathan V Eldridge, Jacob L Thomas, Alexandra Papoutsaki, Younhun Kim, Beifang Niu, Michael McLellan,[...]. Nat Genet 2015
510
2
10

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
2724
2
10

The emerging clinical relevance of genomics in cancer medicine.
Michael F Berger, Elaine R Mardis. Nat Rev Clin Oncol 2018
207
2
10

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
3482
2
10

TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data.
Antonio Colaprico, Tiago C Silva, Catharina Olsen, Luciano Garofano, Claudia Cava, Davide Garolini, Thais S Sabedot, Tathiane M Malta, Stefano M Pagnotta, Isabella Castiglioni,[...]. Nucleic Acids Res 2016
1406
2
10

Gene network inference by fusing data from diverse distributions.
Marinka Žitnik, Blaž Zupan. Bioinformatics 2015
21
2
10

Integrate multi-omics data with biological interaction networks using Multi-view Factorization AutoEncoder (MAE).
Tianle Ma, Aidong Zhang. BMC Genomics 2019
28
2
10

MOGSA: Integrative Single Sample Gene-set Analysis of Multiple Omics Data.
Chen Meng, Azfar Basunia, Bjoern Peters, Amin Moghaddas Gholami, Bernhard Kuster, Aedín C Culhane. Mol Cell Proteomics 2019
28
2
10

A network embedding based method for partial multi-omics integration in cancer subtyping.
Han Xu, Lin Gao, Mingfeng Huang, Ran Duan. Methods 2021
5
2
40

Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.
Hyuna Sung, Jacques Ferlay, Rebecca L Siegel, Mathieu Laversanne, Isabelle Soerjomataram, Ahmedin Jemal, Freddie Bray. CA Cancer J Clin 2021
21107
2
10

Cancer Subtype Identification by Consensus Guided Graph Autoencoders.
Cheng Liang, Mingchao Shang, Jiawei Luo. Bioinformatics 2021
6
2
33

Integrating Multi-Omic Data With Deep Subspace Fusion Clustering for Cancer Subtype Prediction.
Bo Yang, Yupei Zhang, Shanmin Pang, Xuequn Shang, Xueqing Zhao, Minghui Han. IEEE/ACM Trans Comput Biol Bioinform 2021
6
2
33

Supervised Graph Clustering for Cancer Subtyping Based on Survival Analysis and Integration of Multi-Omic Tumor Data.
Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong. IEEE/ACM Trans Comput Biol Bioinform 2022
3
2
66

A Survey on Multi-View Clustering.
Guoqing Chao, Shiliang Sun, Jinbo Bi. IEEE Trans Artif Intell 2021
3
2
66

Integrative cancer patient stratification via subspace merging.
Hao Ding, Michael Sharpnack, Chao Wang, Kun Huang, Raghu Machiraju. Bioinformatics 2019
11
2
18

WMLRR: A Weighted Multi-View Low Rank Representation to Identify Cancer Subtypes From Multiple Types of Omics Data.
Yesen Sun, Le Ou-Yang, Dao-Qing Dai. IEEE/ACM Trans Comput Biol Bioinform 2021
4
2
50

Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis.
Li Tong, Jonathan Mitchel, Kevin Chatlin, May D Wang. BMC Med Inform Decis Mak 2020
16
2
12

Variational Autoencoders for Cancer Data Integration: Design Principles and Computational Practice.
Nikola Simidjievski, Cristian Bodnar, Ifrah Tariq, Paul Scherer, Helena Andres Terre, Zohreh Shams, Mateja Jamnik, Pietro Liò. Front Genet 2019
27
2
10

Evaluation and comparison of multi-omics data integration methods for cancer subtyping.
Ran Duan, Lin Gao, Yong Gao, Yuxuan Hu, Han Xu, Mingfeng Huang, Kuo Song, Hongda Wang, Yongqiang Dong, Chaoqun Jiang,[...]. PLoS Comput Biol 2021
14
2
14

Multi-omics Data Integration by Generative Adversarial Network.
Khandakar Tanvir Ahmed, Jiao Sun, Sze Cheng, Jeongsik Yong, Wei Zhang. Bioinformatics 2021
6
2
33

Methods for biological data integration: perspectives and challenges.
Vladimir Gligorijević, Nataša Pržulj. J R Soc Interface 2015
104
2
10

Predicting cancer outcomes from histology and genomics using convolutional networks.
Pooya Mobadersany, Safoora Yousefi, Mohamed Amgad, David A Gutman, Jill S Barnholtz-Sloan, José E Velázquez Vega, Daniel J Brat, Lee A D Cooper. Proc Natl Acad Sci U S A 2018
349
2
10

Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning.
Nicolas Coudray, Paolo Santiago Ocampo, Theodore Sakellaropoulos, Navneet Narula, Matija Snuderl, David Fenyö, Andre L Moreira, Narges Razavian, Aristotelis Tsirigos. Nat Med 2018
864
2
10

A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers.
Ashton C Berger, Anil Korkut, Rupa S Kanchi, Apurva M Hegde, Walter Lenoir, Wenbin Liu, Yuexin Liu, Huihui Fan, Hui Shen, Visweswaran Ravikumar,[...]. Cancer Cell 2018
295
2
10

OmiEmbed: A Unified Multi-Task Deep Learning Framework for Multi-Omics Data.
Xiaoyu Zhang, Yuting Xing, Kai Sun, Yike Guo. Cancers (Basel) 2021
13
2
15

Comprehensive molecular profiling of lung adenocarcinoma.
. Nature 2014
3434
2
10

Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer.
A Gordon Robertson, Jaegil Kim, Hikmat Al-Ahmadie, Joaquim Bellmunt, Guangwu Guo, Andrew D Cherniack, Toshinori Hinoue, Peter W Laird, Katherine A Hoadley, Rehan Akbani,[...]. Cell 2017
1112
2
10

Genomic Classification of Cutaneous Melanoma.
. Cell 2015
1866
2
10

Integrated multi-omics analysis of ovarian cancer using variational autoencoders.
Muta Tah Hira, M A Razzaque, Claudio Angione, James Scrivens, Saladin Sawan, Mosharraf Sarker. Sci Rep 2021
14
2
14

Integrated genomic characterization of endometrial carcinoma.
Cyriac Kandoth, Nikolaus Schultz, Andrew D Cherniack, Rehan Akbani, Yuexin Liu, Hui Shen, A Gordon Robertson, Itai Pashtan, Ronglai Shen, Christopher C Benz,[...]. Nature 2013
2949
2
10

MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights.
Zhiqiang Pang, Jasmine Chong, Guangyan Zhou, David Anderson de Lima Morais, Le Chang, Michel Barrette, Carol Gauthier, Pierre-Étienne Jacques, Shuzhao Li, Jianguo Xia. Nucleic Acids Res 2021
887
2
10

Deep Learning data integration for better risk stratification models of bladder cancer.
Olivier B Poirion, Kumardeep Chaudhary, Lana X Garmire. AMIA Jt Summits Transl Sci Proc 2018
20
2
10

Biomarker Identification through Multiomics Data Analysis of Prostate Cancer Prognostication Using a Deep Learning Model and Similarity Network Fusion.
Tzu-Hao Wang, Cheng-Yang Lee, Tzong-Yi Lee, Hsien-Da Huang, Justin Bo-Kai Hsu, Tzu-Hao Chang. Cancers (Basel) 2021
10
2
20

Incorporating deep learning and multi-omics autoencoding for analysis of lung adenocarcinoma prognostication.
Tzong-Yi Lee, Kai-Yao Huang, Cheng-Hsiang Chuang, Cheng-Yang Lee, Tzu-Hao Chang. Comput Biol Chem 2020
22
2
10

Unsupervised learning of cross-modal mappings in multi-omics data for survival stratification of gastric cancer.
Jianmin Xu, Yueping Yao, Binghua Xu, Yipeng Li, Zhijian Su. Future Oncol 2022
4
2
50

Survival stratification for colorectal cancer via multi-omics integration using an autoencoder-based model.
Hu Song, Chengwei Ruan, Yixin Xu, Teng Xu, Ruizhi Fan, Tao Jiang, Meng Cao, Jun Song. Exp Biol Med (Maywood) 2022
3
2
66

Learning the Structure of Mixed Graphical Models.
Jason D Lee, Trevor J Hastie. J Comput Graph Stat 2015
38
1
5

Prediction With Dimension Reduction of Multiple Molecular Data Sources for Patient Survival.
Adam Kaplan, Eric F Lock. Cancer Inform 2017
11
1
9

Inferring Regulatory Networks From Mixed Observational Data Using Directed Acyclic Graphs.
Wujuan Zhong, Li Dong, Taylor B Poston, Toni Darville, Cassandra N Spracklen, Di Wu, Karen L Mohlke, Yun Li, Quefeng Li, Xiaojing Zheng. Front Genet 2020
5
1
20

Systematic Multi-Omics Integration (MOI) Approach in Plant Systems Biology.
Ili Nadhirah Jamil, Juwairiah Remali, Kamalrul Azlan Azizan, Nor Azlan Nor Muhammad, Masanori Arita, Hoe-Han Goh, Wan Mohd Aizat. Front Plant Sci 2020
45
1
5

Transcriptomic and metabolomic data integration.
Rachel Cavill, Danyel Jennen, Jos Kleinjans, Jacob Jan Briedé. Brief Bioinform 2016
110
1
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.

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