Artigos de revistas sobre o tema "Microbial association networks"
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Lo, Chieh, e Radu Marculescu. "MPLasso: Inferring microbial association networks using prior microbial knowledge". PLOS Computational Biology 13, n.º 12 (27 de dezembro de 2017): e1005915. http://dx.doi.org/10.1371/journal.pcbi.1005915.
Texto completo da fonteRocha-Viggiano, Ana K., Saray Aranda-Romo, Mariana Salgado-Bustamante e Cesaré Ovando-Vázquez. "Meconium Microbiota Composition and Association with Birth Delivery Mode". Advanced Gut & Microbiome Research 2022 (7 de novembro de 2022): 1–18. http://dx.doi.org/10.1155/2022/6077912.
Texto completo da fonteCentler, Florian, Sarah Günnigmann, Ingo Fetzer e Annelie Wendeberg. "Keystone Species and Modularity in Microbial Hydrocarbon Degradation Uncovered by Network Analysis and Association Rule Mining". Microorganisms 8, n.º 2 (30 de janeiro de 2020): 190. http://dx.doi.org/10.3390/microorganisms8020190.
Texto completo da fonteAi, Dongmei, Hongfei Pan, Xiaoxin Li, Min Wu e Li C. Xia. "Association network analysis identifies enzymatic components of gut microbiota that significantly differ between colorectal cancer patients and healthy controls". PeerJ 7 (29 de julho de 2019): e7315. http://dx.doi.org/10.7717/peerj.7315.
Texto completo da fonteFaust, Karoline, e Jeroen Raes. "CoNet app: inference of biological association networks using Cytoscape". F1000Research 5 (27 de junho de 2016): 1519. http://dx.doi.org/10.12688/f1000research.9050.1.
Texto completo da fonteFaust, Karoline, e Jeroen Raes. "CoNet app: inference of biological association networks using Cytoscape". F1000Research 5 (14 de outubro de 2016): 1519. http://dx.doi.org/10.12688/f1000research.9050.2.
Texto completo da fonteNagpal, Sunil, Rashmi Singh, Deepak Yadav e Sharmila S. Mande. "MetagenoNets: comprehensive inference and meta-insights for microbial correlation networks". Nucleic Acids Research 48, W1 (27 de abril de 2020): W572—W579. http://dx.doi.org/10.1093/nar/gkaa254.
Texto completo da fonteLiu, Fei, Shao-Wu Zhang, Ze-Gang Wei, Wei Chen e Chen Zhou. "Mining Seasonal Marine Microbial Pattern with Greedy Heuristic Clustering and Symmetrical Nonnegative Matrix Factorization". BioMed Research International 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/189590.
Texto completo da fontePoudel, R., A. Jumpponen, D. C. Schlatter, T. C. Paulitz, B. B. McSpadden Gardener, L. L. Kinkel e K. A. Garrett. "Microbiome Networks: A Systems Framework for Identifying Candidate Microbial Assemblages for Disease Management". Phytopathology® 106, n.º 10 (outubro de 2016): 1083–96. http://dx.doi.org/10.1094/phyto-02-16-0058-fi.
Texto completo da fonteAvila-Jimenez, Maria-Luisa, Gavin Burns, Zhili He, Jizhong Zhou, Andrew Hodson, Jose-Luis Avila-Jimenez e David Pearce. "Functional Associations and Resilience in Microbial Communities". Microorganisms 8, n.º 6 (24 de junho de 2020): 951. http://dx.doi.org/10.3390/microorganisms8060951.
Texto completo da fonteYu, Jingjing, Wei Cong, Yi Ding, Lixiao Jin, Jing Cong e Yuguang Zhang. "Interkingdom Plant–Soil Microbial Ecological Network Analysis under Different Anthropogenic Impacts in a Tropical Rainforest". Forests 13, n.º 8 (23 de julho de 2022): 1167. http://dx.doi.org/10.3390/f13081167.
Texto completo da fonteProst, Vincent, Stéphane Gazut e Thomas Brüls. "A zero inflated log-normal model for inference of sparse microbial association networks". PLOS Computational Biology 17, n.º 6 (18 de junho de 2021): e1009089. http://dx.doi.org/10.1371/journal.pcbi.1009089.
Texto completo da fonteWan, Xiaoling, Qun Gao, Jianshu Zhao, Jiajie Feng, Joy D. van Nostrand, Yunfeng Yang e Jizhong Zhou. "Biogeographic patterns of microbial association networks in paddy soil within Eastern China". Soil Biology and Biochemistry 142 (março de 2020): 107696. http://dx.doi.org/10.1016/j.soilbio.2019.107696.
Texto completo da fonteWu, Linwei, Yunfeng Yang, Si Chen, Mengxin Zhao, Zhenwei Zhu, Sihang Yang, Yuanyuan Qu et al. "Long-term successional dynamics of microbial association networks in anaerobic digestion processes". Water Research 104 (novembro de 2016): 1–10. http://dx.doi.org/10.1016/j.watres.2016.07.072.
Texto completo da fonteYan, Donghui, Liu Cao, Muqing Zhou e Hosein Mohimani. "TransDiscovery: Discovering Biotransformation from Human Microbiota by Integrating Metagenomic and Metabolomic Data". Metabolites 12, n.º 2 (26 de janeiro de 2022): 119. http://dx.doi.org/10.3390/metabo12020119.
Texto completo da fonteQiu, Mengjia, Xingning Xiao, Yingping Xiao, Jiele Ma, Hua Yang, Han Jiang, Qingli Dong e Wen Wang. "Dynamic Changes of Bacterial Communities and Microbial Association Networks in Ready-to-Eat Chicken Meat during Storage". Foods 11, n.º 22 (21 de novembro de 2022): 3733. http://dx.doi.org/10.3390/foods11223733.
Texto completo da fonteLaccourreye, Paula, Concha Bielza e Pedro Larrañaga. "Explainable Machine Learning for Longitudinal Multi-Omic Microbiome". Mathematics 10, n.º 12 (9 de junho de 2022): 1994. http://dx.doi.org/10.3390/math10121994.
Texto completo da fonteMousavi, Daniel Cyrus, Aditya Mishra, Yan Jiang, Tessa M. Kus, Erma Levy, Marco Montalvo, Nadim Ajami, Jennifer Wargo, Carrie MacDougall e Jennifer McQuade McQuade. "Abstract LB109: Network analysis of gut microbiome throughout a whole foods based high fiber dietary intervention reveals complex community dynamics in melanoma survivors". Cancer Research 83, n.º 8_Supplement (14 de abril de 2023): LB109. http://dx.doi.org/10.1158/1538-7445.am2023-lb109.
Texto completo da fonteParente, Eugenio, Teresa Zotta e Annamaria Ricciardi. "A review of methods for the inference and experimental confirmation of microbial association networks in cheese". International Journal of Food Microbiology 368 (maio de 2022): 109618. http://dx.doi.org/10.1016/j.ijfoodmicro.2022.109618.
Texto completo da fonteBubier, Jason A., Vivek M. Philip, Christopher Quince, James Campbell, Yanjiao Zhou, Tatiana Vishnivetskaya, Suman Duvvuru et al. "A Microbe Associated with Sleep Revealed by a Novel Systems Genetic Analysis of the Microbiome in Collaborative Cross Mice". Genetics 214, n.º 3 (2 de janeiro de 2020): 719–33. http://dx.doi.org/10.1534/genetics.119.303013.
Texto completo da fonteXu, Yang, Hongmei Jiang e Wenxin Jiang. "Extended graphical lasso for multiple interaction networks for high dimensional omics data". PLOS Computational Biology 17, n.º 10 (20 de outubro de 2021): e1008794. http://dx.doi.org/10.1371/journal.pcbi.1008794.
Texto completo da fonteReiman, Derek, Brian T. Layden e Yang Dai. "MiMeNet: Exploring microbiome-metabolome relationships using neural networks". PLOS Computational Biology 17, n.º 5 (17 de maio de 2021): e1009021. http://dx.doi.org/10.1371/journal.pcbi.1009021.
Texto completo da fonteChen, Huaihai, Kayan Ma, Yu Huang, Qi Fu, Yingbo Qiu, Jiajiang Lin, Christopher W. Schadt e Hao Chen. "Lower functional redundancy in “narrow” than “broad” functions in global soil metagenomics". SOIL 8, n.º 1 (8 de abril de 2022): 297–308. http://dx.doi.org/10.5194/soil-8-297-2022.
Texto completo da fonteKarpe, Avinash V., David J. Beale e Cuong D. Tran. "Intelligent Biological Networks: Improving Anti-Microbial Resistance Resilience through Nutritional Interventions to Understand Protozoal Gut Infections". Microorganisms 11, n.º 7 (13 de julho de 2023): 1800. http://dx.doi.org/10.3390/microorganisms11071800.
Texto completo da fonteReiman, Derek, Ahmed Metwally, Jun Sun e Yang Dai. "Meta-Signer: Metagenomic Signature Identifier based onrank aggregation of features". F1000Research 10 (9 de março de 2021): 194. http://dx.doi.org/10.12688/f1000research.27384.1.
Texto completo da fonteChandran, Desirae, Kaitlyn Warren, Daniel McKeone e Steven D. Hicks. "The Association between Infant Colic and the Multi-Omic Composition of Human Milk". Biomolecules 13, n.º 3 (18 de março de 2023): 559. http://dx.doi.org/10.3390/biom13030559.
Texto completo da fonteEissa, Mostafa Essam, Engy Refaat Rashed e Dalia Essam Eissa. "Dendrogram Analysis and Statistical Examination for Total Microbiological Mesophilic Aerobic Count of Municipal Water Distribution Network System". HighTech and Innovation Journal 3, n.º 1 (1 de março de 2022): 28–36. http://dx.doi.org/10.28991/hij-2022-03-01-03.
Texto completo da fonteFarsijani, Samaneh, Jane Cauley, Peggy Cawthon, Lisa Langsetmo, Eric Orwoll, Anne Newman e Deborah Kado. "ASSOCIATIONS BETWEEN WALKING SPEED AND GUT MICROBIOME DIVERSITY IN OLDER MEN FROM THE MROS STUDY". Innovation in Aging 7, Supplement_1 (1 de dezembro de 2023): 600–601. http://dx.doi.org/10.1093/geroni/igad104.1963.
Texto completo da fonteBertsch, Annalisse, Denis Roy e Gisèle LaPointe. "Enhanced Exopolysaccharide Production by Lactobacillus rhamnosus in Co-Culture with Saccharomyces cerevisiae". Applied Sciences 9, n.º 19 (26 de setembro de 2019): 4026. http://dx.doi.org/10.3390/app9194026.
Texto completo da fonteLiu, Maidi, Yanqing Ye, Jiang Jiang e Kewei Yang. "MANIEA: a microbial association network inference method based on improved Eclat association rule mining algorithm". Bioinformatics, 10 de maio de 2021. http://dx.doi.org/10.1093/bioinformatics/btab241.
Texto completo da fonteDeutschmann, Ina Maria, Gipsi Lima-Mendez, Anders K. Krabberød, Jeroen Raes, Sergio M. Vallina, Karoline Faust e Ramiro Logares. "Disentangling environmental effects in microbial association networks". Microbiome 9, n.º 1 (26 de novembro de 2021). http://dx.doi.org/10.1186/s40168-021-01141-7.
Texto completo da fonteLam, Tony J., e Yuzhen Ye. "Meta-analysis of microbiome association networks reveal patterns of dysbiosis in diseased microbiomes". Scientific Reports 12, n.º 1 (19 de outubro de 2022). http://dx.doi.org/10.1038/s41598-022-22541-1.
Texto completo da fonteRöttjers, Lisa, Doris Vandeputte, Jeroen Raes e Karoline Faust. "Null-model-based network comparison reveals core associations". ISME Communications 1, n.º 1 (16 de julho de 2021). http://dx.doi.org/10.1038/s43705-021-00036-w.
Texto completo da fontePeschel, Stefanie, Christian L. Müller, Erika von Mutius, Anne-Laure Boulesteix e Martin Depner. "NetCoMi: network construction and comparison for microbiome data in R". Briefings in Bioinformatics, 3 de dezembro de 2020. http://dx.doi.org/10.1093/bib/bbaa290.
Texto completo da fonteDeutschmann, Ina Maria, Anders K. Krabberød, Francisco Latorre, Erwan Delage, Cèlia Marrasé, Vanessa Balagué, Josep M. Gasol et al. "Disentangling temporal associations in marine microbial networks". Microbiome 11, n.º 1 (21 de abril de 2023). http://dx.doi.org/10.1186/s40168-023-01523-z.
Texto completo da fonteWang, Mengqi, e Qichao Tu. "Effective data filtering is prerequisite for robust microbial association network construction". Frontiers in Microbiology 13 (4 de outubro de 2022). http://dx.doi.org/10.3389/fmicb.2022.1016947.
Texto completo da fonteXiao, Naijia, Aifen Zhou, Megan L. Kempher, Benjamin Y. Zhou, Zhou Jason Shi, Mengting Yuan, Xue Guo et al. "Disentangling direct from indirect relationships in association networks". Proceedings of the National Academy of Sciences 119, n.º 2 (6 de janeiro de 2022). http://dx.doi.org/10.1073/pnas.2109995119.
Texto completo da fonteFaust, Karoline, Gipsi Lima-Mendez, Jean-Sébastien Lerat, Jarupon F. Sathirapongsasuti, Rob Knight, Curtis Huttenhower, Tom Lenaerts e Jeroen Raes. "Cross-biome comparison of microbial association networks". Frontiers in Microbiology 6 (27 de outubro de 2015). http://dx.doi.org/10.3389/fmicb.2015.01200.
Texto completo da fonteLiao, Qingquan, Yuxiang Ye, Zihang Li, Hao Chen e Linlin Zhuo. "Prediction of miRNA-disease associations in microbes based on graph convolutional networks and autoencoders". Frontiers in Microbiology 14 (28 de abril de 2023). http://dx.doi.org/10.3389/fmicb.2023.1170559.
Texto completo da fonteDeutschmann, Ina Maria, Gipsi Lima-Mendez, Anders K. Krabberød, Jeroen Raes, Sergio M. Vallina, Karoline Faust e Ramiro Logares. "Correction to: Disentangling environmental effects in microbial association networks". Microbiome 9, n.º 1 (dezembro de 2021). http://dx.doi.org/10.1186/s40168-021-01209-4.
Texto completo da fonteSazal, Musfiqur, Kalai Mathee, Daniel Ruiz-Perez, Trevor Cickovski e Giri Narasimhan. "Inferring directional relationships in microbial communities using signed Bayesian networks". BMC Genomics 21, S6 (dezembro de 2020). http://dx.doi.org/10.1186/s12864-020-07065-0.
Texto completo da fonteJunker, Romane, Florence Valence, Michel-Yves Mistou, Stéphane Chaillou e Helene Chiapello. "Integration of metataxonomic data sets into microbial association networks highlights shared bacterial community dynamics in fermented vegetables". Microbiology Spectrum, 15 de maio de 2024. http://dx.doi.org/10.1128/spectrum.00312-24.
Texto completo da fonteLi, Kaihang, Kexin Cheng, Haochen Wang, Qi Zhang, Yan Yang, Yi Jin, Xiaoqing He e Rongling Wu. "Disentangling leaf-microbiome interactions in Arabidopsis thaliana by network mapping". Frontiers in Plant Science 13 (6 de outubro de 2022). http://dx.doi.org/10.3389/fpls.2022.996121.
Texto completo da fonteChung, Hee Cheol, Irina Gaynanova e Yang Ni. "Phylogenetically informed Bayesian truncated copula graphical models for microbial association networks". Annals of Applied Statistics 16, n.º 4 (1 de dezembro de 2022). http://dx.doi.org/10.1214/21-aoas1598.
Texto completo da fonteShi, Yu, Tiantian Ma, Zhongyue Zhang, Zhenlong Xing e Jianqing Ding. "Foliar herbivory affects the rhizosphere microbial assembly processes and association networks". Rhizosphere, dezembro de 2022, 100649. http://dx.doi.org/10.1016/j.rhisph.2022.100649.
Texto completo da fonteDeutschmann, Ina M., Erwan Delage, Caterina R. Giner, Marta Sebastián, Julie Poulain, Javier Arístegui, Carlos M. Duarte et al. "Disentangling microbial networks across pelagic zones in the tropical and subtropical global ocean". Nature Communications 15, n.º 1 (2 de janeiro de 2024). http://dx.doi.org/10.1038/s41467-023-44550-y.
Texto completo da fonteEscalas, Arthur, Marc Troussellier, Delphine Melayah, Maxime Bruto, Sébastien Nicolas, Cécile Bernard, Magali Ader, Christophe Leboulanger, Hélène Agogué e Mylène Hugoni. "Strong reorganization of multi-domain microbial networks associated with primary producers sedimentation from oxic to anoxic conditions in an hypersaline lake". FEMS Microbiology Ecology 97, n.º 12 (dezembro de 2021). http://dx.doi.org/10.1093/femsec/fiab163.
Texto completo da fonteWu, Linwei, Xiaoyu Shan, Si Chen, Qiuting Zhang, Qi Qi, Ziyan Qin, Huaqun Yin, Jizhong Zhou, Qiang He e Yunfeng Yang. "Progressive Microbial Community Networks with Incremental Organic Loading Rates Underlie Higher Anaerobic Digestion Performance". mSystems 5, n.º 1 (7 de janeiro de 2020). http://dx.doi.org/10.1128/msystems.00357-19.
Texto completo da fonteXing, Jieqi, Yu Shi, Xiaoquan Su e Shunyao Wu. "Discovering Microbe-disease Associations with Weighted Graph Convolution Networks and Taxonomy Common Tree". Current Bioinformatics 18 (1 de dezembro de 2023). http://dx.doi.org/10.2174/0115748936270441231116093650.
Texto completo da fonteYang, Chao, Wei Tang, Junqi Sun, Haipeng Guo, Shusheng Sun, Fuhong Miao, Guofeng Yang, Yiran Zhao, Zengyu Wang e Juan Sun. "Weeds in the Alfalfa Field Decrease Rhizosphere Microbial Diversity and Association Networks in the North China Plain". Frontiers in Microbiology 13 (17 de março de 2022). http://dx.doi.org/10.3389/fmicb.2022.840774.
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