Computational tools for prioritizing candidate genes: boosting disease gene discovery

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Items 101–200 of 418

1. HGPEC: a Cytoscape app for prediction of novel disease-gene and disease-disease associations and evidence collection based on a random walk on heterogeneous network
   Duc‐Hau Le, Van-Huy Pham · 2017 · BMC Systems Biology
2. MicroRNA‐34a: A Key Regulator in the Hallmarks of Renal Cell Carcinoma
   Eman Ali Toraih, Afaf Taha Ibrahiem, Manal Said Fawzy, Mohammad Hosny Hussein, Saeed Awad M. Alqahtani, Aly A. M. Shaalan · 2017 · Oxidative Medicine and Cellular Longevity
3. Multilevel biological characterization of exomic variants at the protein level significantly improves the identification of their deleterious effects
   Daniele Raimondi, Andrea M. Gazzo, Marianne J. Rooman, Tom Lenaerts, Wim Vranken · 2016 · Bioinformatics
4. P-values in genomics: Apparent precision masks high uncertainty
   Laura C. Lazzeroni, Ying Lü, Ilana Belitskaya‐Lévy · 2014 · Molecular Psychiatry
5. Pivotal role of the muscle-contraction pathway in cryptorchidism and evidence for genomic connections with cardiomyopathy pathways in RASopathies
   Carlo Vittorio Cannistraci, Jernej Ogorevc, Minja Zorc, Timothy Ravasi, Peter Dovč, Tanja Kunej · 2013 · BMC Medical Genomics
6. VB-MK-LMF: fusion of drugs, targets and interactions using variational Bayesian multiple kernel logistic matrix factorization
   Bence Bolgár, Péter Antal · 2017 · BMC Bioinformatics
7. Disease classification: from phenotypic similarity to integrative genomics and beyond
   Mikhail G. Dozmorov · 2018 · Briefings in Bioinformatics
8. Prioritization of genes involved in endothelial cell apoptosis by their implication in lymphedema using an analysis of associative gene networks with ANDSystem
   Olga Vladimirovna Saik, Vadim V. Nimaev, Dilovarkhuja Usmonov, Деменков Павел Сергеевич, Timofey Ivanisenko, Inna N. Lavrik, В. А. Иванисенко · 2019 · BMC Medical Genomics
9. HyMM: hybrid method for disease-gene prediction by integrating multiscale module structure
   Ju Xiang, Xiangmao Meng, Yichao Zhao, Fang‐Xiang Wu, Min Li · 2022 · Briefings in Bioinformatics
10. Association studies in outbred mice in a new era of full-genome sequencing
    Binnaz Yalcin, Jonathan Flint · 2012 · Mammalian Genome
11. Venn-diaNet : venn diagram based network propagation analysis framework for comparing multiple biological experiments
    Benjamin Hur, Dong Won Kang, Sangseon Lee, Ji Hwan Moon, Gung Lee, Sun Kim · 2019 · BMC Bioinformatics
12. Ocular coloboma: Genetic variants reveal a dynamic model of eye development
    Kevin H. Yoon, Sabrina C. Fox, Renée Dicipulo, Ordan J. Lehmann, Andrew Jan Waskiewicz · 2020 · American Journal of Medical Genetics Part C Seminars in Medical Genetics
13. From genotype to phenotype inArabidopsis thaliana:in-silicogenome interpretation predicts 288 phenotypes from sequencing data
    Daniele Raimondi, Massimiliano Corso, Piero Fariselli, Yves Moreau · 2021 · Nucleic Acids Research
14. PhenoPredict: A disease phenome-wide drug repositioning approach towards schizophrenia drug discovery
    Rong Xu, QuanQiu Wang · 2015 · Journal of Biomedical Informatics
15. MaxLink: network-based prioritization of genes tightly linked to a disease seed set
    Dimitri Guala, Erik Sjölund, Erik L. L. Sonnhammer · 2014 · Bioinformatics
16. Identification of novel therapeutics for complex diseases from genome-wide association data
    Mani P Grover, Sara Ballouz, Kaavya A Mohanasundaram, Richard A. George, Craig D. H. Sherman, Tamsyn M. Crowley, Merridee A. Wouters · 2014 · BMC Medical Genomics
17. GWAS as a Driver of Gene Discovery in Cardiometabolic Diseases
    Biljana Atanasovska, Vinod Kumar, Jingyuan Fu, Cisca Wijmenga, Marten H. Hofker · 2015 · Trends in Endocrinology and Metabolism
18. Automated Identification of Core Regulatory Genes in Human Gene Regulatory Networks
    Vipin Narang, Muhamad Azfar Ramli, Amit Singhal, Pavanish Kumar, Gennaro De Libero, Michael Poidinger, Christopher Pineda Monterola · 2015 · PLoS Computational Biology
19. Classification in biological networks with hypergraphlet kernels
    Jose Lugo-Martinez, Daniel Zeiberg, Thomas Gaudelet, Noël Malod‐Dognin, Nataša Pržulj, Predrag Radivojac A · 2020 · Bioinformatics
20. Heterogeneous networks integration for disease–gene prioritization with node kernels
    Van Dinh Tran, Alessandro Sperduti, Rolf Backofen, Fabrizio Costa · 2020 · Bioinformatics
21. Text Mining in Cancer Gene and Pathway Prioritization
    Yuan Luo, Gregory Riedlinger, Peter Szolovits · 2014 · Cancer Informatics
22. pBRIT: gene prioritization by correlating functional and phenotypic annotations through integrative data fusion
    Ajay Anand Kumar, Lut Van Laer, Maaike Alaerts, Amin Ardeshirdavani, Yves Moreau, Kris Laukens, Bart Loeys, Geert Vandeweyer · 2018 · Bioinformatics
23. Prediction of lncRNA-disease association based on a Laplace normalized random walk with restart algorithm on heterogeneous networks
    Liugen Wang, Min Shang, Qi Dai, Pingan He · 2022 · BMC Bioinformatics
24. Computational Reconstruction of NFκB Pathway Interaction Mechanisms during Prostate Cancer
    Daniela Börnigen, Svitlana Tyekucheva, Xiaodong Wang, Jennifer R. Rider, Gwo‐Shu Mary Lee, Lorelei Ann Mucci, Christopher J. Sweeney, Curtis Huttenhower · 2016 · PLoS Computational Biology
25. Network-based prioritization of cancer genes by integrative ranks from multi-omics data
    Haixia Shang, Zhi-Ping Liu · 2020 · Computers in Biology and Medicine
26. Annotate-it: a Swiss-knife approach to annotation, analysis and interpretation of single nucleotide variation in human disease
    Alejandro Sifrim, Jeroen K. J. Van Houdt, Léon-Charles Tranchevent, Beata Nowakowska, Ryo Sakai, Georgios A. Pavlopoulos, Koenraad Devriendt, Joris Robert Vermeesch, Yves Moreau, Jan A Aerts · 2012 · Genome Medicine
27. Semantic prioritization of novel causative genomic variants
    Imane Boudellioua, Rozaimi Razali, Maxat Kulmanov, Yasmeen Hashish, Vladimir B. Bajić, Eva Goncalves Serra, Nadia A. Schoenmakers, Georgios V. Gkoutos, Paul N. Schofield, Robert Hoehndorf · 2017 · PLoS Computational Biology
28. Identifying proteins controlling key disease signaling pathways
    A. Gitter, Z. Bar-joseph · 2013 · Bioinform.
29. DiSNEP: a Disease-Specific gene Network Enhancement to improve Prioritizing candidate disease genes
    Peifeng Ruan, Shuang Wang · 2020 · Briefings in Bioinformatics
30. Using volcano plots and regularized-chi statistics in genetic association studies
    Wentian Li, Jan Freudenberg, Young Ju Suh, Yaning Yang · 2013 · Computational Biology and Chemistry
31. Integrating Transcriptomic and Proteomic Data Using Predictive Regulatory Network Models of Host Response to Pathogens
    Deborah A. Chasman, Kevin Walters, Tiago J. S. Lopes, Amie J. Eisfeld, Yoshihiro Kawaoka, Sushmita Roy · 2016 · PLoS Computational Biology
32. Systematic interrogation of diverse Omic data reveals interpretable, robust, and generalizable transcriptomic features of clinically successful therapeutic targets
    Andrew D. Rouillard, Mark R. Hurle, Pankaj Agarwal · 2018 · PLoS Computational Biology
33. Prioritizing Cancer Genes Based on an Improved Random Walk Method
    Pi-Jing Wei, Fang‐Xiang Wu, Junfeng Xia, Yansen Su, Jing Wang, Chun-Hou Zheng · 2020 · Frontiers in Genetics
34. Multi-Dimensional Prioritization of Dental Caries Candidate Genes and Its Enriched Dense Network Modules
    Quan Wang, Peilin Jia, Karen T. Cuenco, Eleanor Feingold, Mary L. Marazita, Lily Wang, Zhongming Zhao · 2013 · PLoS ONE
35. MetaRanker 2.0: a web server for prioritization of genetic variation data
    Tune H. Pers, Piotr Dworzyński, Cecilia Engel Thomas, Kasper Lage, Søren Brunak · 2013 · Nucleic Acids Research
36. Gene Prioritization by Compressive Data Fusion and Chaining
    Marinka Žitnik, Edward A. Nam, Christopher QD Dinh, Adam Kuspa, Gad Shaulsky, Blaž Zupan · 2015 · PLoS Computational Biology
37. Mathiomica: an integrative platform for dynamic omics
    Mias, George I., Yusufaly, Tahir, Roushangar, Raeuf, Brooks, Lavida R. K., Singh, Vikas V., Christou, Christina · 2016 · Scientific Reports
38. Evolutionary Signatures amongst Disease Genes Permit Novel Methods for Gene Prioritization and Construction of Informative Gene-Based Networks
    Nolan Priedigkeit, Nicholas W. Wolfe, Nathan L Clark · 2015 · PLoS Genetics
39. Modeling schizophrenia pathogenesis using patient-derived induced pluripotent stem cells (iPSCs)
    Haneul Noh, Zhicheng Shao, Joseph T. Coyle, Sangmi Chung · 2017 · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease
40. Candidate Genes and MiRNAs Linked to the Inverse Relationship Between Cancer and Alzheimer’s Disease: Insights From Data Mining and Enrichment Analysis
    Cristina Battaglia, Marco Venturin, Aleksandra Šojić, Nithiya Jesuthasan, Alessandro Orro, Roberta Spinelli, Massimo Musicco, Gianluca De Bellis, Fulvio Adorni · 2019 · Frontiers in Genetics
41. Probabilistic integration of transcriptome-wide association studies and colocalization analysis identifies key molecular pathways of complex traits
    Jeffrey Okamoto, Lijia Wang, Xianyong Yin, Francesca Luca, Roger Piqué-Regi, Adam S. Helms, Hae Kyung Im, Jean Morrison, Xiaoquan Wen · 2023 · The American Journal of Human Genetics
42. A network-based method for brain disease gene prediction by integrating brain connectome and molecular network
    Wei Wang, Ruijiang Han, Menghan Zhang, Yuxian Wang, Tao Wang, Yongtian Wang, Xuequn Shang, Jiajie Peng · 2021 · Briefings in Bioinformatics
43. Convergent Lines of Evidence Support LRP8 as a Susceptibility Gene for Psychosis
    Ming Li, The Swedish Bipolar Study Group, Liang Huang, Maria Grigoroiu‐Serbânescu, Sarah E. Bergen, Mikael Landén, Christina M. Hultman, Andreas J. Forstner, Jana Strohmaier, Julian Hecker et al. · 2015 · Molecular Neurobiology
44. Perceptron ensemble of graph-based positive-unlabeled learning for disease gene identification
    Gholam-Hossein Jowkar, Eghbal G. Mansoori · 2016 · Computational Biology and Chemistry
45. Unveiling network-based functional features through integration of gene expression into protein networks
    Mahdi Jalili, Tom Gebhardt, Olaf Wolkenhauer A, Ali Salehzadeh‐Yazdi · 2018 · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease
46. Network Modeling in Biology: Statistical Methods for Gene and Brain Networks
    Y. X. Rachel Wang, Lexin Li, Jingyi Jessica Li, Haiyan Huang · 2020 · Statistical Science
47. Systems genetics in “-omics” era: current and future development
    Hong Li · 2012 · Theory in Biosciences
48. Integrative approaches for predicting protein function and prioritizing genes for complex phenotypes using protein interaction networks
    Xiaotu Ma, Ting Chen, Fengzhu Sun · 2013 · Briefings in Bioinformatics
49. Application of high-throughput sequencing for studying genomic variations in congenital heart disease
    C. Dorn, Marcel Grunert, Silke Sperling · 2013 · Briefings in Functional Genomics
50. Predicting disease-related genes by path structure and community structure in protein–protein networks
    Ke Hu, Jing-Bo Hu, Liang Tang, Ju Xiang, Jin-Long Ma, Yuan-Yuan Gao, Hui-Jia Li, Yan Zhang · 2018 · Journal of Statistical Mechanics Theory and Experiment
51. Comprehensive Analysis of Tissue-wide Gene Expression and Phenotype Data Reveals Tissues Affected in Rare Genetic Disorders
    Ariel Feiglin, Bryce K. Allen, Isaac S. Kohane, Sek Won Kong · 2017 · Cell Systems
52. A genomics-based systems approach towards drug repositioning for rheumatoid arthritis
    Rong Xu, QuanQiu Wang · 2016 · BMC Genomics
53. Benchmarker: An Unbiased, Association-Data-Driven Strategy to Evaluate Gene Prioritization Algorithms
    Rebecca S. Fine, Tune H. Pers, Tiffany Amariuta, Soumya Raychaudhuri, Joel N. Hirschhorn · 2019 · The American Journal of Human Genetics
54. Network-based differential gene expression analysis suggests cell cycle related genes regulated by E2F1 underlie the molecular difference between smoker and non-smoker lung adenocarcinoma
    Chao Wu, Jun Zhu, Xuegong Zhang · 2013 · BMC Bioinformatics
55. Pathway Analyses and Understanding Disease Associations
    Yu Liu, Mark R. Chance · 2013 · Current Genetic Medicine Reports
56. brain-coX: investigating and visualising gene co-expression in seven human brain transcriptomic datasets
    Saskia Freytag, Rosemary Burgess, Karen L. Oliver, Melanie Bahlo · 2017 · Genome Medicine
57. Progress and challenges in the computational prediction of gene function using networks
    Paul Pavlidis, Jesse A Gillis · 2012 · F1000Research
58. GoD: An R-package based on ontologies for prioritization of genes with respect to diseases
    Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano · 2015 · Journal of Computational Science
59. GenePANDA—a novel network-based gene prioritizing tool for complex diseases
    Tianshu Yin, Shu Chen, Xiaohui Wu, Weidong Tian · 2017 · Scientific Reports
60. How Surrogate and Chemical Genetics in Model Organisms Can Suggest Therapies for Human Genetic Diseases
    Katherine A Strynatka, Michelle C Gurrola-Gal, Jason N. Berman, Christopher R. McMaster · 2018 · Genetics
61. A deep learning model based on sparse auto-encoder for prioritizing cancer-related genes and drug target combinations
    Ji-Wei Chang, Yuduan Ding, Muhammad Tahir ul Qamar, Yin Shen, Junxiang Gao, Ling‐Ling Chen · 2019 · Carcinogenesis
62. A survey on computational approaches to identifying disease biomarkers based on molecular networks
    Guimin Qin, Xing‐Ming Zhao · 2014 · Journal of Theoretical Biology
63. Biased random walk model for the prioritization of drug resistance associated proteins
    Hao Guo, Jiaqiang Dong, Sijung Hu, Xiqiang Cai, Guangbo Tang, Jianhua Dou, Miaomiao Tian, Fuchu He, Yongzhan Nie, Daiming Fan · 2015 · Scientific Reports
64. Scuba: scalable kernel-based gene prioritization
    Guido Zampieri, Dinh Van Tran, Michele Donini, Nicolò Navarin, Fabio Aiolli, Alessandro Sperduti, Giorgio Valle · 2018 · BMC Bioinformatics
65. Gene Prioritization through Consensus Strategy, Enrichment Methodologies Analysis, and Networking for Osteosarcoma Pathogenesis
    Alejandro Cabrera‐Andrade, Andrés López‐Cortés, Gabriela Jaramillo-Koupermann, César Paz‐y‐Miño, Yunierkis Pérez‐Castillo, Cristian Robert Munteanu, Humberto González‐Díaz, Alejandro Pazos, Eduardo Tejera · 2020 · International Journal of Molecular Sciences
66. HCSGD: An integrated database of human cellular senescence genes
    Qiongye Dong, Hongqing Han, Xuehui Liu, Lei Wei, Wei Zhang, Zhen Zhao, Michael Q. Zhang, Xiaowo Wang · 2017 · Journal of genetics and genomics/Journal of Genetics and Genomics
67. Connectivity Significance for Disease Gene Prioritization in an Expanding Universe
    Manuela Petti, Daniele Bizzarri, Antonella Verrienti, Rosa Falcone, Lorenzo Farina · 2019 · IEEE Transactions on Computational Biology and Bioinformatics
68. Network hub-node prioritization of gene regulation with intra-network association
    Hung-Ching Chang, Chiao-Pei Chu, Shu-Ju Lin, Chuhsing Kate Hsiao · 2020 · BMC Bioinformatics
69. Digitization of Medicine
    King C. Li, Peter Andrew Marcovici, Andrew S. Phelps, Christopher A. Potter, Allison A. Tillack, Jennifer Tomich, Srini Tridandapani · 2013 · Academic Radiology
70. Hyperlipidemia, Disease Associations, and Top 10 Potential Drug Targets: A Network View
    Sneha Rai, Sonika Bhatnagar · 2016 · OMICS A Journal of Integrative Biology
71. Proteomics and Proteogenomics Approaches for Oral Diseases
    Nicola Luigi Bragazzi, Eugenia Pechkova, Claudio Ando Nicolini · 2014 · Advances in protein chemistry and structural biology
72. Uncovering novel repositioning opportunities using the Open Targets platform
    Mugdha Khaladkar, Gautier Koscielny, Samiul Hasan, Pankaj Agarwal, Ian Dunham, Deepak K. Rajpal, Philippe Sanséau · 2017 · Drug Discovery Today
73. Convergent and distributed effects of the 3q29 deletion on the human neural transcriptome
    Esra Sefik, Ryan H. Purcell, The Emory 3q29 Project, Katrina Aberizk, Hallie Averbach, Emily Black, Teresa Lindsey Burrell, Shanthi Cambala, Grace Carlock, Tamara Caspary et al. · 2021 · Translational Psychiatry
74. Alterations in T-Cell Transcription Factors and Cytokine Gene Expression in Late-Onset Alzheimer’s Disease
    Masoud Neshan, Seyed Kazem Malakouti, Leila Kamalzadeh, Mina Makvand, Arezoo Campbell, Ghasem Ahangari · 2021 · Journal of Alzheimer s Disease
75. Resources and tools for rare disease variant interpretation
    Luana Licata, Allegra Via, Paola Turina, Giulia Babbi, Silvia Benevenuta, Claudio Carta, Rita Casadio, Andrea Cicconardi, Angelo M. Facchiano, Piero Fariselli et al. · 2023 · Frontiers in Molecular Biosciences
76. Computational Approaches for Human Disease Gene Prediction and Ranking
    Cheng Zhu, Chao Wu, Bruce J. Aronow, Anil Goud Jegga · 2013 · Advances in experimental medicine and biology
77. Mining the coding and non-coding genome for cancer drivers
    Jia Li, Damien Drubay, Stefan Michiels, Daniel Gautheret · 2015 · Cancer Letters
78. Disease genes prioritizing mechanisms: a comprehensive and systematic literature review
    Elaheh Seyyedrazzagi, Nima Jafari Navimipour · 2017 · Network Modeling Analysis in Health Informatics and Bioinformatics
79. Prioritizing protein complexes implicated in human diseases by network optimization
    Yong Chen, Thibault Jacquemin, Shuyan Zhang, Rui Jiang · 2014 · BMC Systems Biology
80. Genome interpretation in a federated learning context allows the multi-center exome-based risk prediction of Crohn’s disease patients
    Daniele Raimondi, Haleh Chizari, Nora Verplaetse, Britt-Sabina Löscher, André Franke, Yves Moreau · 2023 · Scientific Reports
81. A systems biology approach to predict and characterize human gut microbial metabolites in colorectal cancer
    QuanQiu Wang, Li Li, Rong Xu · 2018 · Scientific Reports
82. Analysis for Disease Gene Association Using Machine Learning
    Misba Sikandar, Rafia Sohail, Yousaf Saeed, Asim Zeb, Mahdi Zareei, Muhammad Adnan Khan, Atif Khan, Abdallah Aldosary, Ehab Mahmoud Mohamed · 2020 · IEEE Access
83. Common Variants in the MKL1 Gene Confer Risk of Schizophrenia
    Xiong‐Jian Luo, Liang Huang, Edwin J. C. G. van den Oord, Karolina A. Åberg, Lin Gan, Zhongming Zhao, Yong‐Gang Yao · 2014 · Schizophrenia Bulletin
84. Identification of driver modules in pan-cancer via coordinating coverage and exclusivity
    Bo Gao, Guojun Li, Juntao Liu, Yang Li, Xiuzhen Huang · 2017 · Oncotarget
85. Predicted Molecular Effects of Sequence Variants Link to System Level of Disease
    Jonas Reeb, Maximilian Hecht, Yannick Mahlich, Yana Bromberg, Burkhard Rost · 2016 · PLoS Computational Biology
86. A computational model to predict bone metastasis in breast cancer by integrating the dysregulated pathways
    Xionghui Zhou, Juan Liu · 2014 · BMC Cancer
87. Network-Based Interpretation of Genomic Variation Data
    Bjarni V. Halldórsson, Roded Sharan · 2013 · Journal of Molecular Biology
88. Integrating hypertension phenotype and genotype with hybrid non-negative matrix factorization
    Yuan Luo, Chengsheng Mao, Yiben Yang, Fei Wang, Faraz S. Ahmad, Donna K. Arnett, Marguerite R. Irvin, Sanjiv Jayendra Shah · 2019 · Bioinformatics
89. Disease-Pathway Association Prediction Based on Random Walks With Restart and PageRank
    Ali Ghulam, Xiujuan Lei, Min Guo, Chen Bian · 2020 · IEEE Access
90. MultiCens: Multilayer network centrality measures to uncover molecular mediators of tissue-tissue communication
    Tarun Kumar, Ramanathan Sethuraman, Sanga Mitra, Balaraman Ravindran, Manikandan Narayanan · 2023 · PLoS Computational Biology
91. Question Answering for Biomedicine
    Yifeng Liu · 2016 · ERA: Education and Research Archive (University of Alberta)
92. Genetic perturbations that impair functional trait interactions lead to reduced bone strength and increased fragility in mice
    Lauren Smith, Erin M.R. Bigelow, Bonnie T. Nolan, Meghan E. Faillace, Joseph H. Nadeau, Karl J. Jepsen · 2014 · Bone
93. A Meta-Analysis Based Method for Prioritizing Candidate Genes Involved in a Pre-specific Function
    Jingjing Zhai, Yunjia Tang, Hao Yuan, Longteng Wang, Haoli Shang, Chuang Ma · 2016 · Frontiers in Plant Science
94. Random walk with restart: A powerful network propagation algorithm in Bioinformatics field
    Duc‐Hau Le · 2017 · NAFOSTED Conference on Information and Computer Science (NICS)
95. Network modeling of patients' biomolecular profiles for clinical phenotype/outcome prediction
    Jessica Gliozzo, Paolo Perlasca, Marco Mesiti, Elena Casiraghi, Viviana Vallacchi, Elisabetta Vergani, Marco Frasca, Giuliano Grossi, Alessandro Petrini, Matteo Ré et al. · 2020 · Scientific Reports
96. Computational model for disease research
    Xing Chen, Huang Li · 2023 · Briefings in Bioinformatics
97. Bioinformatics Tools for the Functional Interpretation of Quantitative Proteomics Results
    Teresa Núñez de Villavicencio-Díaz, Arielis Rodríguez‐Ulloa, Osmany Guirola, Yasset Pérez‐Riverol · 2014 · Current Topics in Medicinal Chemistry
98. Gene gravity-like algorithm for disease gene prediction based on phenotype-specific network
    Limei Lin, Tinghong Yang, Ling Fang, Jian Yang, Fan Yang, Jing Zhao · 2017 · BMC Systems Biology
99. Bayesian integrative analysis of epigenomic and transcriptomic data identifies Alzheimer's disease candidate genes and networks
    Hans‐Ulrich Klein, Martin K.-H. Schäfer, David Alan Bennett, Holger R. Schwender, Philip L. De Jager · 2020 · PLoS Computational Biology
100. The Potential of OMICs Technologies for the Treatment of Immune-Mediated Inflammatory Diseases
     Charles Gwellem Anchang, Cong Xu, Maria Gabriella Raimondo, Raja Narayana Atreya, Andreas Maier, Georg Andreas Schett, Vasily Zaburdaev, Simon Rauber, Andreas Ramming · 2021 · International Journal of Molecular Sciences