A single gene network accurately predicts phenotypic effects of gene perturbation in Caenorhabditis elegans

Lee, Insuk, Lehner, Ben, Crombie, Catriona, Wong, Wendy, Fraser, Andrew G, Marcotte, Edward M·2008·Nature Genetics

Cited by (281)

Items 101–200 of 281

  1. The role of the interactome in the maintenance of deleterious variability in human populations
    Luz García‐Alonso, Jorge Jimenez-Almazán, José Carbonell‐Caballero, Alicia Vela‐Boza, Javier Santoyo‐López, Guillermo Antiñolo, Joaquı́n Dopazo · 2014 · Molecular Systems Biology
  2. A blow to the fly — Lucilia cuprina draft genome and transcriptome to support advances in biology and biotechnology
    Clare A. Anstead, Philip Batterham, Pasi K. Korhonen, Neil David Young, Ross S. Hall, Vernon M Bowles, Stephen Richards, Maxwell J. Scott, Robin B. Gasser · 2016 · Biotechnology Advances
  3. Differential Regulation of Antagonistic Pleiotropy in Synthetic and Natural Populations Suggests Its Role in Adaptation
    Anupama Yadav, Aparna Radhakrishnan, Gyan V Bhanot, Himanshu Sinha · 2015 · G3 Genes Genomes Genetics
  4. Harnessing model organism genomics to underpin the machine learning-based prediction of essential genes in eukaryotes – Biotechnological implications
    Túlio de Lima Campos, Pasi K. Korhonen, Andreas Hofmann, Robin B. Gasser, Neil David Young · 2021 · Biotechnology Advances
  5. Systematic analysis and prediction of longevity genes in Caenorhabditis elegans
    Yanhui Li, Meng‐Qiu Dong, Zheng Guo · 2010 · Mechanisms of Ageing and Development
  6. JiffyNet: a web-based instant protein network modeler for newly sequenced species
    Eiru Kim, Hanhae Kim, Insuk Lee · 2013 · Nucleic Acids Research
  7. Using WormBase: A Genome Biology Resource for Caenorhabditis elegans and Related Nematodes
    Christian A Grove, Scott Cain, Wen J. Chen, Paul Andrew Davis, Todd W. Harris, Kevin Howe, Ranjana Kishore, Raymond Lee, Michael Paulini, Daniela Raciti et al. · 2018 · Methods in molecular biology
  8. A perspective on genomic-guided anthelmintic discovery and repurposing using Haemonchus contortus
    Sarah Preston, Abdul Jabbar, Robin B. Gasser · 2015 · Infection Genetics and Evolution
  9. Harnessing the Toxocara Genome to Underpin Toxocariasis Research and New Interventions
    Robin B. Gasser, Pasi K. Korhonen, Xing-Quan Zhu, Neil David Young · 2016 · Advances in Parasitology/Advances in parasitology
  10. Progress on the transcriptomics of carcinogenic liver flukes of humans—Unique biological and biotechnological prospects
    Neil David Young, Aaron R. Jex, Cinzia Cantacessi, Bronwyn E. Campbell, Thewarach Laha, Woon‐Mok Sohn, Banchob Sripa, Alex C. Loukas, Paul J. Brindley, Robin B. Gasser · 2010 · Biotechnology Advances
  11. Genes regulated by caloric restriction have unique roles within transcriptional networks
    William R. Swindell · 2008 · Mechanisms of Ageing and Development
  12. Making the Most of “Omics” for Symbiosis Research
    John M. Chaston, Angela E. Douglas · 2012 · Biological Bulletin
  13. Network-guided genetic screening: building, testing and using gene networks to predict gene function
    Ben Lehner, Ilha Lee · 2008 · Briefings in Functional Genomics and Proteomics
  14. Cracking the nodule worm code advances knowledge of parasite biology and biotechnology to tackle major diseases of livestock
    Rahul Tyagi, Anja Joachim, Bärbel Ruttkowski, Bruce A. Rosa, John C Martin, Kymberlie Hallsworth-Pepin, Xu Zhang, Philip Ozersky, Richard K. Wilson, Shoba Ranganathan et al. · 2015 · Biotechnology Advances
  15. Gene function prediction from synthetic lethality networks via ranking on demand
    Christoph Lippert, Zoubin Ghahramani A, Karsten Michael Borgwardt · 2010 · Bioinformatics
  16. Novel cardiovascular gene functions revealed via systematic phenotype prediction in zebrafish
    Gabriel A. Musso, Murat Tasan, Christian Mosimann, John E. Beaver, Eva R. Plovie, Logan A. Carr, Hon Nian Chua, Julie Dunham, Khalid Zuberi, Harold Rodriguez et al. · 2013 · Development
  17. SoyFN: a knowledge database of soybean functional networks
    Yungang Xu, Maozu Guo, Xiaoyan Liu, Chunyu Wang, Yang Liu · 2014 · Database
  18. Hypoxia-inducible Factor-1 (HIF-1)-independent Hypoxia Response of the Small Heat Shock Protein hsp-16.1 Gene Regulated by Chromatin-remodeling Factors in the Nematode Caenorhabditis elegans
    Ji‐Hyun Lee, Junho Lee · 2012 · Journal of Biological Chemistry
  19. PhenoMeter: A Metabolome Database Search Tool Using Statistical Similarity Matching of Metabolic Phenotypes for High-Confidence Detection of Functional Links
    Adam James Carroll, Peng Zhang, Lynne F. Whitehead, Sarah Kaines, Guillaume G. B. Tcherkez, Murray R. Badger · 2015 · Frontiers in Bioengineering and Biotechnology
  20. Transcription regulatory networks in Caenorhabditis elegans inferred through reverse-engineering of gene expression profiles constitute biological hypotheses for metazoan development
    Vanessa Vermeirssen, Anagha Joshi, Tom Michoel, Éric Bonnet, Tineke Casneuf, Yves Van de Peer · 2009 · Molecular BioSystems
  21. Wall‐modifying genes regulated by the Arabidopsis homolog of trithorax, ATX1: repression of theXTH33gene as a test case
    Ivan Ndamukong, Anand Chetram, Abdelaty Saleh, Zoya V. AVRAMOVA · 2009 · The Plant Journal
  22. Identification of cancer fusion drivers using network fusion centrality
    Chia-Chin Wu, Kalpana Kannan, Steven Hsesheng Lin, Laising Yen, Aleksandar Milosavljevic · 2013 · Bioinformatics
  23. The barber's pole worm CAP protein superfamily — A basis for fundamental discovery and biotechnology advances
    Namitha Mohandas, Neil David Young, Abdul Jabbar, Pasi K. Korhonen, Anson V. A. Koehler, Parisa Amani, Ross S. Hall, Paul W. Sternberg, Aaron R. Jex, Andreas Hofmann et al. · 2015 · Biotechnology Advances
  24. Cancer module genes ranking using kernelized score functions
    Matteo Ré, Giorgio Valentini · 2012 · BMC Bioinformatics
  25. Co-Inheritance Analysis within the Domains of Life Substantially Improves Network Inference by Phylogenetic Profiling
    Junha Shin, Insuk Lee · 2015 · PLoS ONE
  26. Predicting gene essentiality in Caenorhabditis elegans by feature engineering and machine-learning
    Túlio de Lima Campos, Pasi K. Korhonen, Paul W. Sternberg, Robin B. Gasser, Neil David Young · 2020 · Computational and Structural Biotechnology Journal
  27. Integrating Rare-Variant Testing, Function Prediction, and Gene Network in Composite Resequencing-Based Genome-Wide Association Studies (CR-GWAS)
    Chengsong Zhu, Xianran Li, Jianming Yu · 2011 · G3 Genes Genomes Genetics
  28. Multi-dimensional correlations for gene coexpression and application to the large-scale data of Arabidopsis
    Kengo Kinoshita, Takeshi Obayashi · 2009 · Bioinformatics
  29. Systematic Planning of Genome-Scale Experiments in Poorly Studied Species
    Yuanfang Guan, Maitreya J. Dunham, Amy A. Caudy, Olga G. Troyanskaya · 2010 · PLoS Computational Biology
  30. Decoded Calreticulin-Deficient Embryonic Stem Cell Transcriptome Resolves Latent Cardiophenotype
    Randolph S. Faustino, Anca E. Chiriac, Nicolas J. Niederländer, Timothy J. Nelson, Atta Behfar, Prasanna K. Mishra, Slobodan I Macura, Marek Michalak, André Terzic, Carmen M. Pérez-Terzic · 2010 · Stem Cells
  31. Perspectives on Ecological and Evolutionary Systems Biology
    Christina L. Richards, Yoshie Hanzawa, Manpreet Singh Katari, Ian M. Ehrenreich, Kathleen E. Engelmann, Michael D. Purugganan · 2009 · Wiley-Blackwell eBooks
  32. SABRE: a method for assessing the stability of gene modules in complex tissues and subject populations
    Casey P. Shannon, Virginia Chen, Mandeep M. Takhar, Zsuzsanna Hollander, Robert F Balshaw, Bruce M. McManus, Scott J. Tebbutt, Don D. Sin, Raymond T. Ng · 2016 · BMC Bioinformatics
  33. Fanconi Anemia FANCM/FNCM-1 and FANCD2/FCD-2 Are Required for Maintaining Histone Methylation Levels and Interact with the Histone Demethylase LSD1/SPR-5 in Caenorhabditis elegans
    Hyun‐Min Kim, Sara E. Beese‐Sims, Mónica P. Colaiácovo · 2018 · Genetics
  34. Applying the new genomics to alcohol dependence
    Sean P. Farris, Andrzej Zbigniew Pietrzykowski, Michael F. Miles, Megan A. O'Brien, Pietro Paolo Sanna, Samir Zakhari, Roy Dayne Mayfield, Robert Adron Harris · 2015 · Alcohol
  35. Systems biology and gene networks in Alzheimer’s disease
    Zuo-Teng Wang, Chen‐Chen Tan, Lan Tan, Jin‐Tai Yu · 2018 · Neuroscience & Biobehavioral Reviews
  36. Hybrid Bayesian-rank integration approach improves the predictive power of genomic dataset aggregation
    Marcus A. Badgeley, Stuart C. Sealfon, Maria D. Chikina · 2014 · Bioinformatics
  37. Identification of ncRNAs as potential therapeutic targets in multiple sclerosis through differential ncRNA – mRNA network analysis
    Haritz Irizar, Maider Muñoz‐Culla, Matías Sáenz-Cuesta, Iñaki Osorio-Querejeta, Lucía Sepúlveda, Tamara Castillo‐Triviño, Alvaro Jose Prada, Adolfo López de Munaín, Javier Olascoaga, David Otaegui · 2015 · BMC Genomics
  38. TARGETgene: A Tool for Identification of Potential Therapeutic Targets in Cancer
    Chia-Chin Wu, David Z. D’Argenio, Shahab Asgharzadeh, Timothy Junius Triche · 2012 · PLoS ONE
  39. Accurate Protein Structure Annotation through Competitive Diffusion of Enzymatic Functions over a Network of Local Evolutionary Similarities
    Eric Venner, Andreas Martin Lisewski, Serkan Erdin, R. Matthew Ward, Shivas R. Amin, Olivier Lichtarge · 2010 · PLoS ONE
  40. Recipes and mechanisms of cellular reprogramming: a case study on budding yeast Saccharomyces cerevisiae
    Shengchao Ding, Wei Wang · 2011 · BMC Systems Biology
  41. WormQTLHD—a web database for linking human disease to natural variation data inC. elegans
    K. Joeri van der Velde, Mark de Haan, Konrad Zych, Danny Arends, Basten L. Snoek, Jan E. Kammenga, Ritsert C. Jansen, Morris A. Swertz, Yang Li · 2013 · Nucleic Acids Research
  42. Pathogenic Mechanisms of Allergic Inflammation : Atopic Asthma as a Paradigm
    Patrick G. Holt, Deborah H. Strickland, Anthony Bosco, Frode Lars Jahnsen · 2009 · Advances in immunology
  43. Accurate evaluation and analysis of functional genomics data and methods
    Casey S. Greene, Olga G. Troyanskaya · 2012 · Annals of the New York Academy of Sciences
  44. RIDDLE: reflective diffusion and local extension reveal functional associations for unannotated gene sets via proximity in a gene network
    Peggy I. Wang, Sohyun Hwang, Rodney P. Kincaid, Christopher S. Sullivan, Insuk Lee, Edward M. Marcotte · 2012 · Genome biology
  45. Improved insights into the transcriptomes of the human hookworm Necator americanus — Fundamental and biotechnological implications
    Élida Mara Leite Rabelo, Ross S. Hall, Alex C. Loukas, Leanne T. Cooper, Min Hu, Shoba Ranganathan, Robin B. Gasser · 2008 · Biotechnology Advances
  46. Molecular characterization of Ascaridia galli infecting native chickens in Egypt
    Eman Kamal Bazh · 2013 · Parasitology Research
  47. Directed Mammalian Gene Regulatory Networks Using Expression and Comparative Genomic Hybridization Microarray Data from Radiation Hybrids
    Sangtae Ahn, Richard T. Wang, Christopher C Park, Andy Lin, Richard M. Leahy, Kenneth L. Lange, Desmond Smith · 2009 · PLoS Computational Biology
  48. An Effective Method to Measure Disease Similarity Using Gene and Phenotype Associations
    Shuhui Su, Lei Zhang, Jian Liu · 2019 · Frontiers in Genetics
  49. Defining the Pathogenicity of DNA Sequence Variation
    Carolyn Yung Ho, Calum A. MacRae · 2009 · Circulation Cardiovascular Genetics
  50. Alignment of Cell Lineage Trees Elucidates Genetic Programs for the Development and Evolution of Cell Types
    Meng Yuan, Xujiang Yang, Jinghua Lin, Xiaolong Cao, Feng Chen, Xiaoyu Zhang, Zizhang Li, Guifeng Zheng, Xueqin Wang, Xiaoshu Chen et al. · 2020 · iScience
  51. Fibroblast growth factor receptor 1 (FGFR1) variants and craniofacial variation in Amerindians and related populations
    Jorge Gómez‐Valdés, Tábita Hünemeier, Verônica Contini, Víctor Acuña-Alonzo, Gastón Macín Pérez, Mónica Ballesteros‐Romero, Pau Corral, Andrés Ruiz‐Linares, Gabriela Sánchez‐Mejorada, Samuel Canizales‐Quinteros et al. · 2012 · American Journal of Human Biology
  52. Application of machine learning in the study of development, behavior, nerve, and genotoxicity of zebrafish
    Rui Wang, Bing Wang, Anying Chen · 2024 · Environmental Pollution
  53. A Gene-Phenotype Network for the Laboratory Mouse and Its Implications for Systematic Phenotyping
    Octavio Espinosa, John M. Hancock · 2011 · PLoS ONE
  54. In vivo screening platform for shiga toxin-producing Escherichia coli (STEC) using Caenorhabditis elegans as a model
    Su-Bin Hwang, Jung-gu Choi, Shuai Wei, Byung‐Jae Park, Ramachandran Chelliah, Deog‐Hwan Oh · 2018 · PLoS ONE
  55. Network approaches to the genetic dissection of phenotypes in animals and humans
    Insuk Lee · 2013 · Animal Cells and Systems
  56. Identification and characterization of differentially expressed genes in Caenorhabditis elegans in response to pathogenic and nonpathogenic Stenotrophomonas maltophilia
    Leah J. Radeke, Michael A. Herman · 2020 · BMC Microbiology
  57. Genetic Variation among Major Human Geographic Groups Supports a Peculiar Evolutionary Trend in PAX9
    Vanessa Rodrigues Paixão‐Côrtes, Diogo Meyer, Tiago Pereira, Stéphane Mazières, Jacques Élion, Rajagopal Krishnamoorthy, Marco Antonio Zago, Wilson A. Silva, Francisco M. Salzano, María Cátira Bortolini · 2011 · PLoS ONE
  58. Prediction of quantitative phenotypes based on genetic networks: a case study in yeast sporulation
    Li Shen, Iouri Chepelev, Jie Liu, Wei Wang · 2010 · BMC Systems Biology
  59. PoplarGene: poplar gene network and resource for mining functional information for genes from woody plants
    Qi Liu, Changjun Ding, Yanguang Chu, Jiafei Chen, Weixi Zhang, Bingyu Zhang, Qinjun Huang, Xiaohua Su · 2016 · Scientific Reports
  60. Integrating and Mining Helminth Genomes to Discover and Prioritize Novel Therapeutic Targets
    Dhanasekaran Shanmugam, Stuart A. Ralph, Santiago J. Carmona, Gregory J. Crowther, David S. Roos, Fernán Agüero · 2012
  61. Modeling dynamic functional relationship networks and application to ex vivo human erythroid differentiation
    Fan Zhu, Lihong Shi, Hong‐Dong Li, Ridvan Eksi, James Douglas Engel, Yuanfang Guan · 2014 · Bioinformatics
  62. Inference of the Oxidative Stress Network in Anopheles stephensi upon Plasmodium Infection
    Jatin Shrinet, Umesh Kumar Nandal, Tridibes Adak, Raj Kamal Bhatnagar, Sujatha Sunil · 2014 · PLoS ONE
  63. Probabilistic functional gene societies
    Insuk Lee · 2011 · Progress in Biophysics and Molecular Biology
  64. Prediction of Drosophila melanogaster gene function using Support Vector Machines
    Nicholas Mitsakakis, Zak Razak, Michael David Escobar, J. Timothy Westwood · 2013 · BioData Mining
  65. Taxonomically Restricted Genes with Essential Functions Frequently Play Roles in Chromosome Segregation inCaenorhabditis elegansandSaccharomyces cerevisiae
    Adrian J. Verster, Erin B. Styles, Abigail-Rachele F. Mateo, W. Brent Derry, Brenda Andrews, Andrew G. Fraser · 2017 · G3 Genes Genomes Genetics
  66. Computational Approach to Identify Enzymes That Are Potential Therapeutic Candidates for Psoriasis
    Daeui Park, Hyoung Oh Jeong, Byoung-Chul Kim, Young Mi Ha, Hae Young Chung · 2011 · Enzyme Research
  67. Searching for Signaling Balance through the Identification of Genetic Interactors of the Rab Guanine-Nucleotide Dissociation Inhibitor gdi-1
    Anna Y. Lee, Richard Perreault, Sharon Harel, Elodie L. Boulier, Matthew J Suderman, Michael T. Hallett, Sarah Jenna · 2010 · PLoS ONE
  68. Bioinformatic Networks: Molecular Reticles for Pinpointing Pharmacological Target Selection
    Randolph S. Faustino, André Terzic · 2008 · Clinical Pharmacology & Therapeutics
  69. FORG3D: Force-directed 3D graph editor for visualization of integrated genome scale data
    Jussi Paananen, Garry Wong · 2009 · BMC Systems Biology
  70. A protein network-guided screen for cell cycle regulators in Drosophila
    Stephen T. Guest, Jingkai Yu, Dongmei Liu, Julie A. Hines, Maria A Kashat, Russell L. Finley · 2011 · BMC Systems Biology
  71. Protein Interaction Networks: Protein Domain Interaction and Protein Function Prediction
    Yanjun Qi, William Stafford Noble · 2011 · Springer eBooks
  72. Positome: A method for improving protein-protein interaction quality and prediction accuracy
    Kevin Dick, Frank Dehne, Ashkan Golshani, James R. Green · 2017 · IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)
  73. Networks in Caenorhabditis elegans
    Kristin C. Gunsalus, Kahn Rhrissorrakrai · 2011 · Current Opinion in Genetics & Development
  74. Construction of Functional Linkage Gene Networks by Data Integration
    Bolan Linghu, Eric A. Franzosa, Yu Xia · 2012 · Methods in molecular biology
  75. Caenorhabditis elegans as a Model System for Duchenne Muscular Dystrophy
    Rebecca A. Ellwood, Mathew Piasecki, Nathaniel J. Szewczyk · 2021 · International Journal of Molecular Sciences
  76. Associations of SNPs located at candidate genes to bovine growth traits, prioritized with an interaction networks construction approach
    Francisco Alejandro Paredes Sánchez, Ana María Sifuentes‐Rincón, Aldo Segura‐Cabrera, Carlos Armando García Pérez, Gaspar Manuel Parra‐Bracamonte, Pascuala Ambriz Morales · 2015 · BMC Genetics
  77. The Diverse Functions of Phosphatidylinositol Transfer Proteins
    Cockcroft, Shamshad · 2012 · Current Topics in Microbiology and Immunology
  78. Xanthine Dehydrogenase Is a Modulator of Dopaminergic Neurodegeneration in Response to Bacterial Metabolite Exposure in C. elegans
    Jennifer L. Thies, Karolina Willicott, Maici L. Craig, Madeline R. Greene, Cassandra N. DuGay, Guy A. Caldwell, Kim A. Caldwell · 2023 · Cells
  79. A disease-drug-phenotype matrix inferred by walking on a functional domain network
    Hai Fang, Julian Gough · 2013 · Molecular BioSystems
  80. Analysis of Haemonchus embryos at single cell resolution identifies two eukaryotic elongation factors as intervention target candidates
    Pasi K. Korhonen, Tao Wang, Neil David Young, Joseph J. Byrne, Túlio de Lima Campos, Bill C. H. Chang, Aya C. Taki, Robin B. Gasser · 2024 · Computational and Structural Biotechnology Journal
  81. Tv-RIO1 – an atypical protein kinase from the parasitic nematode Trichostrongylus vitrinus
    Min Hu, Nicole A. LaRonde-LeBlanc, Paul W. Sternberg, Robin B. Gasser · 2008 · Parasites & Vectors
  82. Computational Systems Biology
    T Murali, Srinivas Aluru · 2009 · Chapman & Hall/CRC applied algorithms and data structures series
  83. Lipid transfer proteins and the tuning of compartmental identity in the Golgi apparatus
    Mark I. McDermott, Carl J. Mousley · 2016 · Chemistry and Physics of Lipids
  84. DISCOVERY OF FUNCTIONAL AND DISEASE PATHWAYS BY COMMUNITY DETECTION IN PROTEIN-PROTEIN INTERACTION NETWORKS
    Stephen Joseph Wilson, Angela D. Wilkins, Chih-Hsu Lin, Rhonald C. Lua, Olivier Lichtarge · 2016 · Pacific Symposium on Biocomputing (PSB)
  85. Molecular and phylogenetic characterization of cytochromes c from Haemonchus contortus and Trichostrongylus vitrinus (Nematoda: Trichostrongylida)
    Bronwyn E. Campbell, Alasdair J. Nisbet, Jason P. Mulvenna, Alex C. Loukas, Robin B. Gasser · 2008 · Gene
  86. Characterization of a Caenorhabditis elegans glc seven-like phosphatase (gsp) orthologue from Haemonchus contortus (Nematoda)
    Bronwyn E. Campbell, Élida Mara Leite Rabelo, Andreas Hofmann, Min Hu, Robin B. Gasser · 2010 · Molecular and Cellular Probes
  87. Building Synthetic Systems to Learn Nature’s Design Principles
    Eric A. Davidson, Oliver P. F. Windram, Travis S. Bayer · 2012 · Advances in experimental medicine and biology
  88. TCOF1 T/Ser variant and brachycephaly in dogs
    Tábita Hünemeier, Francisco M. Salzano, María Cátira Bortolini · 2009 · Animal Genetics
  89. CAP protein superfamily members in Toxocara canis
    Andreas J. Stroehlein, Neil David Young, Ross S. Hall, Pasi K. Korhonen, Andreas Hofmann, Paul W. Sternberg, Abdul Jabbar, Robin B. Gasser · 2016 · Parasites & Vectors
  90. The tapeworm interactome: inferring confidence scored protein-protein interactions from the proteome of Hymenolepis microstoma
    Katherine James, Peter D. Olson · 2020 · BMC Genomics
  91. Integrated Genome-Scale Prediction of Detrimental Mutations in Transcription Networks
    Mirko Francesconi, Rob Jelier, Ben Lehner · 2011 · PLoS Genetics
  92. Transcriptomic, Functional, and Network Analyses Reveal Novel Genes Involved in the Interaction Between Caenorhabditis elegans and Stenotrophomonas maltophilia
    Corin V. White, Michael A. Herman · 2018 · Frontiers in Cellular and Infection Microbiology
  93. System-Level Insights into the Cellular Interactome of a Non-Model Organism: Inferring, Modelling and Analysing Functional Gene Network of Soybean (Glycine max)
    Yungang Xu, Maozu Guo, Quan Zou, Xiaoyan Liu, Chunyu Wang, Yang Liu · 2014 · PLoS ONE
  94. Wormnet: a crystal ball for Caenorhabditis elegans
    Stephen E. Von Stetina, Susan E. Mango · 2008 · Genome biology
  95. Gene divergence and pathway duplication in the metabolic network of yeast and digital organisms
    Philip Gerlee, Torbjörn Lundh, B. Zhang, Alexander R.A. Anderson · 2009 · Journal of The Royal Society Interface
  96. A Caenorhabditis elegans genetic-interaction map wiggles into view
    Kristin C. Gunsalus · 2008 · Journal of Biology
  97. The Features of Shared Genes among Transcriptomes Probed in Atopic Dermatitis, Psoriasis, and Inflammatory Acne: S100A9 Selection as the Target Gene
    Wei Wang, Sungbo Hwang, Daeui Park, Yong-Doo Park · 2024 · Protein and Peptide Letters
  98. Identification of putative drug targets for human sperm-egg interaction defect using protein network approach
    Soudabeh Sabetian, Mohd Shahir Shamsir · 2015 · BMC Systems Biology
  99. Systems biology of embryonic development: Prospects for a complete understanding of the Caenorhabditis elegans embryo
    John I. Murray · 2018 · Wiley Interdisciplinary Reviews Developmental Biology
  100. Analysis of Protein Interaction Networks to Prioritize Drug Targets of Neglected-Diseases Pathogens
    Aldo Segura‐Cabrera, A. Carlos, Mario A., Xianwu Guo, Gildardo Rivera, Virgilio Bocanegra-Garc · 2012 · InTech eBooks