An Integrated Approach to Uncover Drivers of Cancer

Cited by (484)

Items 101–200 of 484

1. Transposon mutagenesis identifies genetic drivers of BrafV600E melanoma
   Michael B. Mann, Michael A. Black, Devin J. Jones, Jerrold Michael Ward, Christopher Chin Kuan Yew, Justin Y. Newberg, Adam J. Dupuy, Alistair G. Rust, Marcus Bosenberg, Martin McMahon et al. · 2015 · Nature Genetics
2. Relation between smoking history and gene expression profiles in lung adenocarcinomas
   Johan Staaf, Goran B Jönsson, Mats Jönsson, Anna Karlsson, Sofi Isaksson, Annette Salomonsson, Helen M. Pettersson, Maria Soller, Sven‐Börje Ewers, Leif Johansson et al. · 2012 · BMC Medical Genomics
3. C-KIT Signaling Depends on Microphthalmia-Associated Transcription Factor for Effects on Cell Proliferation
   Bengt Phung, Jianmin Sun, Alexander Schepsky, Eirı́kur Steingrı́msson, Lars Rönnstrand · 2011 · PLoS ONE
4. An integrated approach to identify causal network modules of complex diseases with application to colorectal cancer
   Zhenshu Wen, Zhi-Ping Liu, Zhengrong Liu, Yan Zhang, Luonan Chen · 2012 · Journal of the American Medical Informatics Association
5. Aggressiveness of human melanoma xenograft models is promoted by aneuploidy-driven gene expression deregulation
   Véronique Mathieu, Christine Pirker, Wolfgang M. Schmidt, Sabine Spiegl‐Kreinecker, Daniela Lötsch, Petra Heffeter, Balázs Hegedűs, Michael Grusch, Robert Kiss A, Walter Berger · 2012 · Oncotarget
6. MTSS1 is a metastasis driver in a subset of human melanomas
   Kirsten D. Mertz, Gaurav Pathria, Christine Wagner, Juha Saarikangas, Andrea Sboner, Julia Romanov, Melanie Gschaider, Florian Lenz, Friederike Neumann, Wolfgang Schreiner et al. · 2014 · Nature Communications
7. Long noncoding RNA profiles identify five distinct molecular subtypes of colorectal cancer with clinical relevance
   Haoyan Chen, Jie Xu, Jie Hong, Ruqi Tang, Xi Zhang, Jing‐Yuan Fang · 2014 · Molecular Oncology
8. Integrated molecular portrait of non-small cell lung cancers
   Vladimir Lazar, Chen Suo, Cédric Oréar, Joost van den Oord, Zsófia Balogh, Justine Guégan, Bastien Job, Guillaume Meurice, Hugues Ripoche, Stefano Calza et al. · 2013 · BMC Medical Genomics
9. Review of Statistical Learning Methods in Integrated Omics Studies (An Integrated Information Science)
   Irene S. L. Zeng, Thomas Lumley · 2018 · Bioinformatics and Biology Insights
10. The Discovery of Mutated Driver Pathways in Cancer: Models and Algorithms
    Junhua Zhang, Shihua Zhang · 2016 · IEEE Transactions on Computational Biology and Bioinformatics
11. From systems biology to P4 medicine: applications in respiratory medicine
    Guillaume G. Noell, Rosa Faner, Alvar G.N. Agustí · 2018 · European Respiratory Review
12. Structural Bioinformatics of the Interactome
    Donald S. Petrey, Barry H. Honig · 2014 · Annual Review of Biophysics
13. Advance computational tools for multiomics data learning
    Sheikh Mansoor, Saira Hamid, Thai Thanh Tuan, Jong-Eun Park, Yong Suk Chung · 2024 · Biotechnology Advances
14. Identifying potential cancer driver genes by genomic data integration
    Yong Chen, Jingjing Hao, Wei Jiang, Tong He, Xuegong Zhang, Tao Jiang, Rui Jiang · 2013 · Scientific Reports
15. Global Transcriptional Changes Following Statin Treatment in Breast Cancer
    Ó. Bjarnadóttir, S. Kimbung, Ida Johansson, S. Veerla, M. Jönsson, P. Bendahl, D. Grabau, I. Hedenfalk, S. Borgquist · 2015 · Clinical Cancer Research
16. Genome‐wide expression and copy number analysis identifies driver genes in gingivobuccal cancers
    Srikant Ambatipudi, Moritz Gerstung, Manishkumar Pandey, Tanuja A. Samant, Asawari J. Patil, Shubhada V. KANE, Rajiv S. Desai, Alejandro A. Schäffer, Niko Beerenwinkel, Manoj B. Mahimkar · 2011 · Genes Chromosomes and Cancer
17. Identifying In-Trans Process Associated Genes in Breast Cancer by Integrated Analysis of Copy Number and Expression Data
    Miriam R. R. Aure, Israel Steinfeld, Lars Oliver Baumbusch, Knut Liestøl, Doron Lipson, Sandra Nyberg, Bjørn Naume, Kristine Kleivi Sahlberg, Vessela Nedelcheva Kristensen, Anne‐Lise Børresen‐Dale et al. · 2013 · PLoS ONE
18. MSEA: detection and quantification of mutation hotspots through mutation set enrichment analysis
    Peilin Jia, Quan Wang, Qingxia Chen, Katherine E. Hutchinson, William J. Pao, Zhongming Zhao · 2014 · Genome biology
19. jNMFMA: a joint non-negative matrix factorization meta-analysis of transcriptomics data
    Hongqiang Wang, Chun-Hou Zheng, Xing‐Ming Zhao · 2014 · Bioinformatics
20. Linking signaling pathways to transcriptional programs in breast cancer
    Hatice U. Osmanbeyoglu, Raphael Pelossof, Jacqueline Bromberg, Christina S. Leslie · 2014 · Genome Research
21. Machine learning-based analysis of multi-omics data on the cloud for investigating gene regulations
    Minsik Oh, Sung‐Joon Park, Sun Kim, Heejoon Chae · 2020 · Briefings in Bioinformatics
22. Lessons from a decade of integrating cancer copy number alterations with gene expression profiles
    Nianyuan Huang, P. K. Shah, C. Li · 2011 · Briefings in Bioinformatics
23. An ‘Omics’ Perspective on Cardiomyopathies and Heart Failure
    Rajendra Raghow · 2016 · Trends in Molecular Medicine
24. Endoplasmic reticulum ribosome-binding protein 1, RRBP1, promotes progression of colorectal cancer and predicts an unfavourable prognosis
    Yun-long Pan, Fuao Cao, A Guo, Wenjun Chang, X Chen, Wei Ma, Xianhua Gao, Sufen Guo, Chuangang Fu, Jiaqi Zhu · 2015 · British Journal of Cancer
25. RHPN2 Drives Mesenchymal Transformation in Malignant Glioma by Triggering RhoA Activation
    Carla Danussi, Uri David Akavia, Francesco Niola, Andreja Jović, Anna Lasorella, Dana Pe’er, Antonio Iavarone · 2013 · Cancer Research
26. The Landscape of Candidate Driver Genes Differs between Male and Female Breast Cancer
    Ida Johansson, Markus Ringnér, Ingrid A. Hedenfalk · 2013 · PLoS ONE
27. Investigating a holobiont: Microbiota perturbations and transkingdom networks
    Renee L. Greer, Xiaoxi Dong, Andrey Morgun, Natalia Shulzhenko · 2016 · Gut Microbes
28. Identification of functionally active, low frequency copy number variants at 15q21.3 and 12q21.31 associated with prostate cancer risk
    Francesca Demichelis, Sunita R. Setlur, Samprit Banerjee, Dimple Chakravarty, Jin Yun Chen, Chen X. Chen, Julie C. Huang, Himisha Beltran, Derek A. Oldridge, Naoki Kitabayashi et al. · 2012 · Proceedings of the National Academy of Sciences
29. Bridging the Gap between Genotype and Phenotype via Network Approaches
    Yoo-Ah Kim, Teresa M. Przytycka · 2013 · Frontiers in Genetics
30. Integrating genetics and epigenetics in breast cancer: biological insights, experimental, computational methods and therapeutic potential
    Claudia Cava, Gloria Rita Bertoli, Isabella Castiglioni · 2015 · BMC Systems Biology
31. In vivo Roles of Rab27 and Its Effectors in Exocytosis
    Tetsuro Izumi · 2021 · Cell Structure and Function
32. Identification of ovarian cancer driver genes by using module network integration of multi-omics data
    Olivier Gevaert, Victor Manuel Villalobos, Branimir Ivan Sikic, Sylvia K. Plevritis · 2013 · Interface Focus
33. Bioinformatics for cancer immunology and immunotherapy
    Pornpimol Charoentong, Mihaela Angelova, Mirjana Efremova, Ralf Gallasch, Hubert Hackl, Jérôme Galon, Zlatko Trajanoski · 2012 · Cancer Immunology Immunotherapy
34. Histology-Specific MicroRNA Alterations in Melanoma
    Laura Poliseno, Adele Haimovic, Miguel F. Segura, Douglas Hanniford, Paul J. Christos, Farbod Darvishian, Jinhua Wang, Richard L. Shapiro, Anna C. Pavlick, Russell S. Berman et al. · 2012 · Journal of Investigative Dermatology
35. Network Topology Reveals Key Cardiovascular Disease Genes
    A. Sarajlic, Vuk Janjic, N. Stojković, D. Radak, Natasa Przulj · 2013 · PLoS ONE
36. What are the best routes to effectively model human colorectal cancer?
    Madeleine A. Young, Liliana Ordonez, Alan Richard Clarke · 2013 · Molecular Oncology
37. Big-data-based edge biomarkers: study on dynamical drug sensitivity and resistance in individuals
    Tao Zeng, Wanwei Zhang, Xiangtian Yu, Xiaoping Liu, Meiyi Li, Luonan Chen · 2015 · Briefings in Bioinformatics
38. Reverse enGENEering of Regulatory Networks from Big Data: A Roadmap for Biologists
    Xiaoxi Dong, Anatoly Yambartsev, Stephen A. Ramsey, Lina Dornelas Thomas, Natalia Shulzhenko, Andrey Morgun · 2015 · Bioinformatics and Biology Insights
39. Reviewing the somatic genetics of melanoma: from current to future analytical approaches
    Ken Dutton‐Regester, Nicholas K. Hayward · 2012 · Pigment Cell & Melanoma Research
40. A network-based, integrative study to identify core biological pathways that drive breast cancer clinical subtypes
    Bhaskar Dutta, Lajos Pusztai, Yuan Qi, Fabrice André, Vladimir Lazar, Giampaolo Bianchini, Naoto Tada Ueno, Roshan Agarwal, Bruno Wang, Christine Y. Shiang et al. · 2012 · British Journal of Cancer
41. Integration of somatic mutation, expression and functional data reveals potential driver genes predictive of breast cancer survival
    Chen Suo, Olga Hrydziuszko, Donghwan Lee, Setia Pramana, Dhany Saputra, Himanshu N. Joshi, Stefano Calza, Yudi Pawitan Y · 2015 · Bioinformatics
42. NIRF constitutes a nodal point in the cell cycle network and is a candidate tumor suppressor
    Tsutomu Mori, Daisuke D. Ikeda, Toshihiko Fukushima, Seiichi Takenoshita, Hideo Kochi · 2011 · Cell Cycle
43. Biological function through network topology: a survey of the human diseasome
    Vuk Janjić, Nataša Pržulj · 2012 · Briefings in Functional Genomics
44. MicroRNAs in the development and pathobiology of uterine leiomyomata: does evidence support future strategies for clinical intervention?
    Anatte Emma Karmon, Eden R. Cardozo, Bo R. Rueda, Aaron Kyle Styer · 2014 · Human Reproduction Update
45. Integrative miRNA and mRNA analysis in penile carcinomas reveals markers and pathways with potential clinical impact
    Hellen Kuasne, Mateus Camargo Barros‐Filho, Ariane Fidelis Busso-Lopes, Fábio Albuquerque Marchi, Maísa Pinheiro, Juan José Augusto Moyano Muñoz, Cristovam Scapulatempo‐Neto, Eliney Ferreira Faria, Gustavo Cardoso Guimarães, Ademar Lopes et al. · 2017 · Oncotarget
46. TBC1D16 is a Rab4A GTPase activating protein that regulates receptor recycling and EGF receptor signaling
    Goueli, Basem S., Powell, Marianne Broome, Finger, Elizabeth C., Pfeffer, Suzanne R. · 2012 · Proceedings of the National Academy of Sciences
47. NIRF/UHRF2 occupies a central position in the cell cycle network and allows coupling with the epigenetic landscape
    Tsutomu Mori, Daisuke D. Ikeda, Yoshiki Yamaguchi, Motoko Unoki · 2012 · FEBS Letters
48. Reverse‐engineering human regulatory networks
    Céline Lefèbvre, Gabrielle E. Rieckhof, Andrea Califano · 2012 · WIREs Systems Biology and Medicine
49. Linear and non-linear dependencies between copy number aberrations and mRNA expression reveal distinct molecular pathways in breast cancer
    Hiroko Kato Solvang, Ole Christian Lingjærde, Arnoldo Frigessi, Anne‐Lise Børresen‐Dale, Vessela Nedelcheva Kristensen · 2011 · BMC Bioinformatics
50. Upregulation of miR-582-5p inhibits cell proliferation, cell cycle progression and invasion by targeting Rab27a in human colorectal carcinoma
    X Zhang, Yuyan Zhang, Jinsong Yang, Shuxin Li, Junhao Chen · 2015 · Cancer Gene Therapy
51. Identification of mutated core cancer modules by integrating somatic mutation, copy number variation, and gene expression data
    Junhua Zhang, Shihua Zhang, Yong Wang, Xiang‐Sun Zhang · 2013 · BMC Systems Biology
52. Graph- and rule-based learning algorithms: a comprehensive review of their applications for cancer type classification and prognosis using genomic data
    Saurav Mallik, Zhongming Zhao · 2019 · Briefings in Bioinformatics
53. Shattered and stitched chromosomes—chromothripsis and chromoanasynthesis—manifestations of a new chromosome crisis?
    Christiaan H. Righolt, Sabine Mai · 2012 · Genes Chromosomes and Cancer
54. Identification of Novel Candidate Oncogenes in Chromosome Region 17p11.2-p12 in Human Osteosarcoma
    Joeri Both, Thijs Wu, Johannes Bras, Gerard R. Schaap, Frank Baas, Theo J.M. Hulsebos · 2012 · PLoS ONE
55. Cancer gene prioritization by integrative analysis of mRNA expression and DNA copy number data: a comparative review
    Leo Lahti, Martin K.-H. Schäfer, Hans‐Ulrich Klein, Silvio Bicciato, Martin Dugas · 2012 · Briefings in Bioinformatics
56. Cancer Is to Embryology as Mutation Is to Genetics: Hypothesis of the Cancer as Embryological Phenomenon
    Jaime Cofré, Eliana S. F. W. Abdelhay · 2017 · The Scientific World JOURNAL
57. The Core Diseasome
    Vuk Janjić, Nataša Pržulj · 2012 · Molecular BioSystems
58. Increased expression and copy number amplification of LINE-1 and SINE B1 retrotransposable elements in murine mammary carcinoma progression
    Alberto Gualtieri, Federica Andreola, Ilaria Sciamanna, Paola Sinibaldi Vallebona, Annalucia Serafino, Corrado Spadafora · 2013 · Oncotarget
59. Genomics of Acute Myeloid Leukemia: The Next Generation
    Laura Riva, Lucilla Luzi, Pier Giuseppe Pelicci · 2012 · Frontiers in Oncology
60. HIT’nDRIVE: Multi-driver Gene Prioritization Based on Hitting Time
    Raunak Shrestha, Ermin Hodzic, Jake Yeung, Kendric Wang, Thomas Sauerwald, Phuong Dao, Shawn A. Anderson, Himisha Beltran, Mark A. Rubin, Colin C. Collins et al. · 2014 · Lecture notes in computer science
61. Deep Subspace Mutual Learning for cancer subtypes prediction
    Bo Yang, Tingting Xin, Shanmin Pang, Meng Wang, Yi-Jie Wang · 2021 · Bioinformatics
62. Identifying core gene modules in glioblastoma based on multilayer factor-mediated dysfunctional regulatory networks through integrating multi-dimensional genomic data
    Yanyan Ping, Yulan Deng, Li Wang, Hongyi Zhang, Yong Zhang, Chaohan Xu, Hongying Zhao, Huihui Fan, Fulong Yu, Yun Xiao et al. · 2015 · Nucleic Acids Research
63. An integrative characterization of recurrent molecular aberrations in glioblastoma genomes
    Nardnisa Sintupisut, Pei-Ling Liu, Chen‐Hsiang Yeang · 2013 · Nucleic Acids Research
64. Detection of gene mutations and gene–gene fusions in circulating cell‐free DNA of glioblastoma patients: an avenue for clinically relevant diagnostic analysis
    Vikrant Palande, Tali Siegal, Rajesh Detroja, Alessandro Gorohovski, Rainer Glaß, Charlotte Flueh, Andrew A. Kanner, Yoseph Laviv, Sagi Harnof, Adva Levy‐Barda et al. · 2021 · Molecular Oncology
65. Systematic Analysis of New Drug Indications by Drug‐Gene‐Disease Coherent Subnetworks
    Lei Wang, Ying Wang, Qian‐Nan Hu, Shao Li · 2014 · CPT Pharmacometrics & Systems Pharmacology
66. Integrating Omics Data With a Multiplex Network-Based Approach for the Identification of Cancer Subtypes
    Haiying Wang, Huiru Zheng, Jianxin Wang, Chaoyang Wang, Fang‐Xiang Wu · 2016 · IEEE Transactions on NanoBioscience
67. Module Analysis Captures Pancancer Genetically and Epigenetically Deregulated Cancer Driver Genes for Smoking and Antiviral Response
    Magali Champion, Kevin Brennan, Tom Croonenborghs, Andrew J. Gentles, Nathalie L.M.M. Pochet, Olivier Gevaert · 2017 · EBioMedicine
68. Rab27 GTPases Distribute Extracellular Nanomaps for Invasive Growth and Metastasis: Implications for Prognosis and Treatment
    An Hendrix, Olivier De Wever · 2013 · International Journal of Molecular Sciences
69. Translational –omics: Future potential and current challenges in precision medicine
    Arsalan Wafi, Reza Mirnezami · 2018 · Methods
70. Multi-Omics Approaches to Improve Mitochondrial Disease Diagnosis: Challenges, Advances, and Perspectives
    Justine Labory, Morgane Fierville, Samira Ait-El-Mkadem, Sylvie Bannwarth, Véronique Paquis‐Flucklinger, Silvia Bottini · 2020 · Frontiers in Molecular Biosciences
71. Oncogene addiction in gliomas: Implications for molecular targeted therapy
    Wei Yan, Wei Zhang, Tao Jiang · 2011 · Journal of Experimental & Clinical Cancer Research
72. ChiPPI: a novel method for mapping chimeric protein–protein interactions uncovers selection principles of protein fusion events in cancer
    Milana Frenkel‐Morgenstern, Alessandro Gorohovski, Somnath Tagore, Vaishnovi Sekar, Miguél Vázquez, Alfonso Valencia · 2017 · Nucleic Acids Research
73. Edge biomarkers for classification and prediction of phenotypes
    Tao Zeng, WanWei Zhang, Xiangtian Yu, Xiaoping Liu, Meiyi Li, Rui Liu, Luonan Chen · 2014 · Science China Life Sciences
74. The center for causal discovery of biomedical knowledge from big data
    Cooper, Gregory F, Bahar, Ivet, Becich, Michael J, Benos, Panayiotis V, Berg, Jeremy, Espino, Jessi, Glymour, Clark, Jacobson, Rebecca Crowley, Kienholz, Michelle, Lee, Adrian V et al. · 2015 · Journal of the American Medical Informatics Association
75. Metastatic risk and resistance to BRAF inhibitors in melanoma defined by selective allelic loss of ATG5
    García-Fernández, María, Karras, Panagiotis, Checinska, Agnieszka, Cañón, Estela, Calvo, Guadalupe T., Gómez-López, Gonzalo, Cifdaloz, Metehan, Colmenar, Angel, Espinosa-Hevia, Luis, Olmeda, David et al. · 2016 · Autophagy
76. Multiscale modeling of the causal functional roles of nsSNPs in a genome-wide association study: application to hypoxia
    Li Xie, Clara Ng, Thahmina A. Ali, Raoul Valencia, Barbara L Ferreira, Vincent Xue, Maliha Tanweer, Dan Zhou, Gabriel George Haddad, Philip E. Bourne et al. · 2013 · BMC Genomics
77. Autoinhibition can identify rare driver mutations and advise pharmacology
    Ruth Nussinov, Chung‐Jung Tsai, Hyunbum Jang · 2019 · The FASEB Journal
78. Comprehensive Characterization of Somatic Mutations Impacting lncRNA Expression for Pan-Cancer
    Yue Gao, Xin Li, Hui Zhi, Yunpeng Zhang, Yanxia Wang, Yanxia Wang, Shipeng Shang, Ying Fang, Weitao Shen, Shangwei Ning et al. · 2019 · Molecular Therapy — Nucleic Acids
79. The econometrics of Bayesian graphical models: a review with financial application
    Daniel Felix Ahelegbey · 2016 · The Journal of Network Theory in Finance
80. A critical review of machine-learning for “multi-omics” marine metabolite datasets
    Janani Manochkumar, Aswani Kumar Cherukuri, Raju Suresh Kumar, Abdulrahman Ibrahim Almansour, Siva Ramamoorthy, Thomas Efferth · 2023 · Computers in Biology and Medicine
81. Rab27A overexpression promotes bladder cancer proliferation and chemoresistance through regulation of NF-κB signaling
    Jia Liu, Xue Gong, Xingwang Zhu, Dongwei Xue, Yili Liu, Ping Wang · 2017 · Oncotarget
82. Oncogenic drivers in 11q13 associated with prognosis and response to therapy in advanced oropharyngeal carcinomas
    Mateus Camargo Barros‐Filho, Luciana Albina Reis Rosa, Márcia Hatakeyama, Fábio Albuquerque Marchi, Thiago Celestino Chulam, Cristovam Scapulatempo‐Neto, Ulisses Ribaldo Nicolau, André Lopes Carvalho, Clóvis Antônio Lopes Pinto, Sandra Aparecida Drigo et al. · 2018 · Oral Oncology
83. Pancancer modelling predicts the context-specific impact of somatic mutations on transcriptional programs
    Hatice U. Osmanbeyoglu, Eneda Toska, Carmen Chan, Jose M Baselga, Christina S. Leslie · 2017 · Nature Communications
84. Gene Expression Profiling Identifies Microphthalmia-Associated Transcription Factor (MITF) and Dickkopf-1 (DKK1) as Regulators of Microenvironment-Driven Alterations in Melanoma Phenotype
    Mariusz L. Hartman, Beata Talar, Muhammad Zaeem Noman, Anna Gajos-Michniewicz, Salem Chouaı̈b, Małgorzata Czyż · 2014 · PLoS ONE
85. Adapt, Recycle, and Move on: Proteostasis and Trafficking Mechanisms in Melanoma
    Şeyma Demirsoy, Miguel A. Martín-Acebes, Hannelore Maes, Patrizia Agostinis · 2016 · Frontiers in Oncology
86. Copy number alterations detected by whole-exome and whole-genome sequencing of esophageal adenocarcinoma
    Xiaoyu Wang, Xiaohong Li, Yichen Cheng, Xin Sun, Xibin Sun, Steve G Self, Charles L Kooperberg, James Y. Dai · 2015 · Human Genomics
87. Integrative genome-wide expression profiling identifies three distinct molecular subgroups of renal cell carcinoma with different patient outcome
    Manfred Beleut, Philip Zimmermann, Michael Baudis, Nicole Bruni, Peter Bühlmann, Oliver Laule, Van-Duc Luu, Wilhelm Gruissem, Peter Schraml, Holger Moch · 2012 · BMC Cancer
88. Network Modeling Identifies Patient-specific Pathways in Glioblastoma
    Nurcan Tunçbağ, Pamela Milani, Jenny L. Pokorny, Hannah Johnson, Terence Tai-Weng Sio, Simona Dalin, Dennis O. Iyekegbe, Forest M. White, Jann Nagina Sarkaria, Ernest Fraenkel · 2016 · Scientific Reports
89. A Four-gene Decision Tree Signature Classification of Triple-negative Breast Cancer: Implications for Targeted Therapeutics
    Jelmar Quist, Hasan Mirza, Maggie C.U. Cheang, Melinda L. Telli, Joyce O’Shaughnessy, Christopher J. Lord, Andrew N.J. Tutt, Anita E. Grigoriadis · 2018 · Molecular Cancer Therapeutics
90. Toward a systematic understanding of cancers: a survey of the pan-cancer study
    Zhaoqi Liu, Shihua Zhang · 2014 · Frontiers in Genetics
91. Computational methods and resources for the interpretation of genomic variants in cancer
    Rui Tian, Malay Kumar Basu, Emidio Capriotti · 2015 · BMC Genomics
92. Learning subgroup-specific regulatory interactions and regulator independence with PARADIGM
    Andrew J. Sedgewick, Stephen Charles Benz, Shahrooz Rabizadeh, Patrick Soon‐Shiong, Charles Joseph Vaske · 2013 · Bioinformatics
93. Cancer driver gene discovery through an integrative genomics approach in a non-parametric Bayesian framework
    Yang Hai, Qiang Wei, Xue Zhong, Hushan Yang, Bingshan Li · 2016 · Bioinformatics
94. The Integrative Method Based on the Module-Network for Identifying Driver Genes in Cancer Subtypes
    Xinguo Lu, Li Xing, Ping Liu, Xin Qian, Qiumai Miao, Shaoliang Peng · 2018 · Molecules
95. Unexpected links reflect the noise in networks
    Anatoly Yambartsev, Michael A. Perlin, Yevgeniy Kovchegov, Natalia Shulzhenko, Karina L. Mine, Xiaoxi Dong, Andrey Morgun · 2016 · Biology Direct
96. Computational methods for cancer driver discovery: A survey
    Vu Pham, Lin Liu, Cameron P. Bracken, Gregory J. Goodall, Jiuyong Li, Thuc Duy Le · 2021 · Theranostics
97. Integrative analysis reveals novel driver genes and molecular subclasses of hepatocellular carcinoma
    Li-Guang Yang, Zhengtao Zhang, Yi-Di Sun, Shi-Chao Pang, Qianlan Yao, Ping Lin, Jinming Cheng, Jia Li, Guo-Hui Ding, L. Hui et al. · 2020 · Aging
98. An Integrative Genomic and Transcriptomic Analysis Reveals Potential Targets Associated with Cell Proliferation in Uterine Leiomyomas
    Priscila Daniele Ramos Cirilo, Fábio Albuquerque Marchi, Mateus Camargo Barros‐Filho, Rafael Malagoli Rocha, Maria Aparecida Custódio Domingues, Igor Jurišica, Anaglória Pontes, Sílvia Regina Rogatto · 2013 · PLoS ONE
99. Identification of Constrained Cancer Driver Genes Based on Mutation Timing
    Thomas Sakoparnig, Patrick Fried, Niko Beerenwinkel · 2015 · PLoS Computational Biology
100. Patient-Specific Multi-Omics Models and the Application in Personalized Combination Therapy
     August J. John, Bo Qin, Krishna R. Kalari, Liewei Wang, Jia Yu · 2020 · Future Oncology