Artykuły w czasopismach na temat „Microbial association networks”
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Lo, Chieh, i Radu Marculescu. "MPLasso: Inferring microbial association networks using prior microbial knowledge". PLOS Computational Biology 13, nr 12 (27.12.2017): e1005915. http://dx.doi.org/10.1371/journal.pcbi.1005915.
Pełny tekst źródłaRocha-Viggiano, Ana K., Saray Aranda-Romo, Mariana Salgado-Bustamante i Cesaré Ovando-Vázquez. "Meconium Microbiota Composition and Association with Birth Delivery Mode". Advanced Gut & Microbiome Research 2022 (7.11.2022): 1–18. http://dx.doi.org/10.1155/2022/6077912.
Pełny tekst źródłaCentler, Florian, Sarah Günnigmann, Ingo Fetzer i Annelie Wendeberg. "Keystone Species and Modularity in Microbial Hydrocarbon Degradation Uncovered by Network Analysis and Association Rule Mining". Microorganisms 8, nr 2 (30.01.2020): 190. http://dx.doi.org/10.3390/microorganisms8020190.
Pełny tekst źródłaAi, Dongmei, Hongfei Pan, Xiaoxin Li, Min Wu i Li C. Xia. "Association network analysis identifies enzymatic components of gut microbiota that significantly differ between colorectal cancer patients and healthy controls". PeerJ 7 (29.07.2019): e7315. http://dx.doi.org/10.7717/peerj.7315.
Pełny tekst źródłaFaust, Karoline, i Jeroen Raes. "CoNet app: inference of biological association networks using Cytoscape". F1000Research 5 (27.06.2016): 1519. http://dx.doi.org/10.12688/f1000research.9050.1.
Pełny tekst źródłaFaust, Karoline, i Jeroen Raes. "CoNet app: inference of biological association networks using Cytoscape". F1000Research 5 (14.10.2016): 1519. http://dx.doi.org/10.12688/f1000research.9050.2.
Pełny tekst źródłaNagpal, Sunil, Rashmi Singh, Deepak Yadav i Sharmila S. Mande. "MetagenoNets: comprehensive inference and meta-insights for microbial correlation networks". Nucleic Acids Research 48, W1 (27.04.2020): W572—W579. http://dx.doi.org/10.1093/nar/gkaa254.
Pełny tekst źródłaLiu, Fei, Shao-Wu Zhang, Ze-Gang Wei, Wei Chen i 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.
Pełny tekst źródłaPoudel, R., A. Jumpponen, D. C. Schlatter, T. C. Paulitz, B. B. McSpadden Gardener, L. L. Kinkel i K. A. Garrett. "Microbiome Networks: A Systems Framework for Identifying Candidate Microbial Assemblages for Disease Management". Phytopathology® 106, nr 10 (październik 2016): 1083–96. http://dx.doi.org/10.1094/phyto-02-16-0058-fi.
Pełny tekst źródłaAvila-Jimenez, Maria-Luisa, Gavin Burns, Zhili He, Jizhong Zhou, Andrew Hodson, Jose-Luis Avila-Jimenez i David Pearce. "Functional Associations and Resilience in Microbial Communities". Microorganisms 8, nr 6 (24.06.2020): 951. http://dx.doi.org/10.3390/microorganisms8060951.
Pełny tekst źródłaYu, Jingjing, Wei Cong, Yi Ding, Lixiao Jin, Jing Cong i Yuguang Zhang. "Interkingdom Plant–Soil Microbial Ecological Network Analysis under Different Anthropogenic Impacts in a Tropical Rainforest". Forests 13, nr 8 (23.07.2022): 1167. http://dx.doi.org/10.3390/f13081167.
Pełny tekst źródłaProst, Vincent, Stéphane Gazut i Thomas Brüls. "A zero inflated log-normal model for inference of sparse microbial association networks". PLOS Computational Biology 17, nr 6 (18.06.2021): e1009089. http://dx.doi.org/10.1371/journal.pcbi.1009089.
Pełny tekst źródłaWan, Xiaoling, Qun Gao, Jianshu Zhao, Jiajie Feng, Joy D. van Nostrand, Yunfeng Yang i Jizhong Zhou. "Biogeographic patterns of microbial association networks in paddy soil within Eastern China". Soil Biology and Biochemistry 142 (marzec 2020): 107696. http://dx.doi.org/10.1016/j.soilbio.2019.107696.
Pełny tekst źródłaWu, Linwei, Yunfeng Yang, Si Chen, Mengxin Zhao, Zhenwei Zhu, Sihang Yang, Yuanyuan Qu i in. "Long-term successional dynamics of microbial association networks in anaerobic digestion processes". Water Research 104 (listopad 2016): 1–10. http://dx.doi.org/10.1016/j.watres.2016.07.072.
Pełny tekst źródłaYan, Donghui, Liu Cao, Muqing Zhou i Hosein Mohimani. "TransDiscovery: Discovering Biotransformation from Human Microbiota by Integrating Metagenomic and Metabolomic Data". Metabolites 12, nr 2 (26.01.2022): 119. http://dx.doi.org/10.3390/metabo12020119.
Pełny tekst źródłaQiu, Mengjia, Xingning Xiao, Yingping Xiao, Jiele Ma, Hua Yang, Han Jiang, Qingli Dong i Wen Wang. "Dynamic Changes of Bacterial Communities and Microbial Association Networks in Ready-to-Eat Chicken Meat during Storage". Foods 11, nr 22 (21.11.2022): 3733. http://dx.doi.org/10.3390/foods11223733.
Pełny tekst źródłaLaccourreye, Paula, Concha Bielza i Pedro Larrañaga. "Explainable Machine Learning for Longitudinal Multi-Omic Microbiome". Mathematics 10, nr 12 (9.06.2022): 1994. http://dx.doi.org/10.3390/math10121994.
Pełny tekst źródłaMousavi, Daniel Cyrus, Aditya Mishra, Yan Jiang, Tessa M. Kus, Erma Levy, Marco Montalvo, Nadim Ajami, Jennifer Wargo, Carrie MacDougall i 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, nr 8_Supplement (14.04.2023): LB109. http://dx.doi.org/10.1158/1538-7445.am2023-lb109.
Pełny tekst źródłaParente, Eugenio, Teresa Zotta i Annamaria Ricciardi. "A review of methods for the inference and experimental confirmation of microbial association networks in cheese". International Journal of Food Microbiology 368 (maj 2022): 109618. http://dx.doi.org/10.1016/j.ijfoodmicro.2022.109618.
Pełny tekst źródłaBubier, Jason A., Vivek M. Philip, Christopher Quince, James Campbell, Yanjiao Zhou, Tatiana Vishnivetskaya, Suman Duvvuru i in. "A Microbe Associated with Sleep Revealed by a Novel Systems Genetic Analysis of the Microbiome in Collaborative Cross Mice". Genetics 214, nr 3 (2.01.2020): 719–33. http://dx.doi.org/10.1534/genetics.119.303013.
Pełny tekst źródłaXu, Yang, Hongmei Jiang i Wenxin Jiang. "Extended graphical lasso for multiple interaction networks for high dimensional omics data". PLOS Computational Biology 17, nr 10 (20.10.2021): e1008794. http://dx.doi.org/10.1371/journal.pcbi.1008794.
Pełny tekst źródłaReiman, Derek, Brian T. Layden i Yang Dai. "MiMeNet: Exploring microbiome-metabolome relationships using neural networks". PLOS Computational Biology 17, nr 5 (17.05.2021): e1009021. http://dx.doi.org/10.1371/journal.pcbi.1009021.
Pełny tekst źródłaChen, Huaihai, Kayan Ma, Yu Huang, Qi Fu, Yingbo Qiu, Jiajiang Lin, Christopher W. Schadt i Hao Chen. "Lower functional redundancy in “narrow” than “broad” functions in global soil metagenomics". SOIL 8, nr 1 (8.04.2022): 297–308. http://dx.doi.org/10.5194/soil-8-297-2022.
Pełny tekst źródłaKarpe, Avinash V., David J. Beale i Cuong D. Tran. "Intelligent Biological Networks: Improving Anti-Microbial Resistance Resilience through Nutritional Interventions to Understand Protozoal Gut Infections". Microorganisms 11, nr 7 (13.07.2023): 1800. http://dx.doi.org/10.3390/microorganisms11071800.
Pełny tekst źródłaReiman, Derek, Ahmed Metwally, Jun Sun i Yang Dai. "Meta-Signer: Metagenomic Signature Identifier based onrank aggregation of features". F1000Research 10 (9.03.2021): 194. http://dx.doi.org/10.12688/f1000research.27384.1.
Pełny tekst źródłaChandran, Desirae, Kaitlyn Warren, Daniel McKeone i Steven D. Hicks. "The Association between Infant Colic and the Multi-Omic Composition of Human Milk". Biomolecules 13, nr 3 (18.03.2023): 559. http://dx.doi.org/10.3390/biom13030559.
Pełny tekst źródłaEissa, Mostafa Essam, Engy Refaat Rashed i 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, nr 1 (1.03.2022): 28–36. http://dx.doi.org/10.28991/hij-2022-03-01-03.
Pełny tekst źródłaFarsijani, Samaneh, Jane Cauley, Peggy Cawthon, Lisa Langsetmo, Eric Orwoll, Anne Newman i Deborah Kado. "ASSOCIATIONS BETWEEN WALKING SPEED AND GUT MICROBIOME DIVERSITY IN OLDER MEN FROM THE MROS STUDY". Innovation in Aging 7, Supplement_1 (1.12.2023): 600–601. http://dx.doi.org/10.1093/geroni/igad104.1963.
Pełny tekst źródłaBertsch, Annalisse, Denis Roy i Gisèle LaPointe. "Enhanced Exopolysaccharide Production by Lactobacillus rhamnosus in Co-Culture with Saccharomyces cerevisiae". Applied Sciences 9, nr 19 (26.09.2019): 4026. http://dx.doi.org/10.3390/app9194026.
Pełny tekst źródłaLiu, Maidi, Yanqing Ye, Jiang Jiang i Kewei Yang. "MANIEA: a microbial association network inference method based on improved Eclat association rule mining algorithm". Bioinformatics, 10.05.2021. http://dx.doi.org/10.1093/bioinformatics/btab241.
Pełny tekst źródłaDeutschmann, Ina Maria, Gipsi Lima-Mendez, Anders K. Krabberød, Jeroen Raes, Sergio M. Vallina, Karoline Faust i Ramiro Logares. "Disentangling environmental effects in microbial association networks". Microbiome 9, nr 1 (26.11.2021). http://dx.doi.org/10.1186/s40168-021-01141-7.
Pełny tekst źródłaLam, Tony J., i Yuzhen Ye. "Meta-analysis of microbiome association networks reveal patterns of dysbiosis in diseased microbiomes". Scientific Reports 12, nr 1 (19.10.2022). http://dx.doi.org/10.1038/s41598-022-22541-1.
Pełny tekst źródłaRöttjers, Lisa, Doris Vandeputte, Jeroen Raes i Karoline Faust. "Null-model-based network comparison reveals core associations". ISME Communications 1, nr 1 (16.07.2021). http://dx.doi.org/10.1038/s43705-021-00036-w.
Pełny tekst źródłaPeschel, Stefanie, Christian L. Müller, Erika von Mutius, Anne-Laure Boulesteix i Martin Depner. "NetCoMi: network construction and comparison for microbiome data in R". Briefings in Bioinformatics, 3.12.2020. http://dx.doi.org/10.1093/bib/bbaa290.
Pełny tekst źródłaDeutschmann, Ina Maria, Anders K. Krabberød, Francisco Latorre, Erwan Delage, Cèlia Marrasé, Vanessa Balagué, Josep M. Gasol i in. "Disentangling temporal associations in marine microbial networks". Microbiome 11, nr 1 (21.04.2023). http://dx.doi.org/10.1186/s40168-023-01523-z.
Pełny tekst źródłaWang, Mengqi, i Qichao Tu. "Effective data filtering is prerequisite for robust microbial association network construction". Frontiers in Microbiology 13 (4.10.2022). http://dx.doi.org/10.3389/fmicb.2022.1016947.
Pełny tekst źródłaXiao, Naijia, Aifen Zhou, Megan L. Kempher, Benjamin Y. Zhou, Zhou Jason Shi, Mengting Yuan, Xue Guo i in. "Disentangling direct from indirect relationships in association networks". Proceedings of the National Academy of Sciences 119, nr 2 (6.01.2022). http://dx.doi.org/10.1073/pnas.2109995119.
Pełny tekst źródłaFaust, Karoline, Gipsi Lima-Mendez, Jean-Sébastien Lerat, Jarupon F. Sathirapongsasuti, Rob Knight, Curtis Huttenhower, Tom Lenaerts i Jeroen Raes. "Cross-biome comparison of microbial association networks". Frontiers in Microbiology 6 (27.10.2015). http://dx.doi.org/10.3389/fmicb.2015.01200.
Pełny tekst źródłaLiao, Qingquan, Yuxiang Ye, Zihang Li, Hao Chen i Linlin Zhuo. "Prediction of miRNA-disease associations in microbes based on graph convolutional networks and autoencoders". Frontiers in Microbiology 14 (28.04.2023). http://dx.doi.org/10.3389/fmicb.2023.1170559.
Pełny tekst źródłaDeutschmann, Ina Maria, Gipsi Lima-Mendez, Anders K. Krabberød, Jeroen Raes, Sergio M. Vallina, Karoline Faust i Ramiro Logares. "Correction to: Disentangling environmental effects in microbial association networks". Microbiome 9, nr 1 (grudzień 2021). http://dx.doi.org/10.1186/s40168-021-01209-4.
Pełny tekst źródłaSazal, Musfiqur, Kalai Mathee, Daniel Ruiz-Perez, Trevor Cickovski i Giri Narasimhan. "Inferring directional relationships in microbial communities using signed Bayesian networks". BMC Genomics 21, S6 (grudzień 2020). http://dx.doi.org/10.1186/s12864-020-07065-0.
Pełny tekst źródłaJunker, Romane, Florence Valence, Michel-Yves Mistou, Stéphane Chaillou i Helene Chiapello. "Integration of metataxonomic data sets into microbial association networks highlights shared bacterial community dynamics in fermented vegetables". Microbiology Spectrum, 15.05.2024. http://dx.doi.org/10.1128/spectrum.00312-24.
Pełny tekst źródłaLi, Kaihang, Kexin Cheng, Haochen Wang, Qi Zhang, Yan Yang, Yi Jin, Xiaoqing He i Rongling Wu. "Disentangling leaf-microbiome interactions in Arabidopsis thaliana by network mapping". Frontiers in Plant Science 13 (6.10.2022). http://dx.doi.org/10.3389/fpls.2022.996121.
Pełny tekst źródłaChung, Hee Cheol, Irina Gaynanova i Yang Ni. "Phylogenetically informed Bayesian truncated copula graphical models for microbial association networks". Annals of Applied Statistics 16, nr 4 (1.12.2022). http://dx.doi.org/10.1214/21-aoas1598.
Pełny tekst źródłaShi, Yu, Tiantian Ma, Zhongyue Zhang, Zhenlong Xing i Jianqing Ding. "Foliar herbivory affects the rhizosphere microbial assembly processes and association networks". Rhizosphere, grudzień 2022, 100649. http://dx.doi.org/10.1016/j.rhisph.2022.100649.
Pełny tekst źródłaDeutschmann, Ina M., Erwan Delage, Caterina R. Giner, Marta Sebastián, Julie Poulain, Javier Arístegui, Carlos M. Duarte i in. "Disentangling microbial networks across pelagic zones in the tropical and subtropical global ocean". Nature Communications 15, nr 1 (2.01.2024). http://dx.doi.org/10.1038/s41467-023-44550-y.
Pełny tekst źródłaEscalas, Arthur, Marc Troussellier, Delphine Melayah, Maxime Bruto, Sébastien Nicolas, Cécile Bernard, Magali Ader, Christophe Leboulanger, Hélène Agogué i 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, nr 12 (grudzień 2021). http://dx.doi.org/10.1093/femsec/fiab163.
Pełny tekst źródłaWu, Linwei, Xiaoyu Shan, Si Chen, Qiuting Zhang, Qi Qi, Ziyan Qin, Huaqun Yin, Jizhong Zhou, Qiang He i Yunfeng Yang. "Progressive Microbial Community Networks with Incremental Organic Loading Rates Underlie Higher Anaerobic Digestion Performance". mSystems 5, nr 1 (7.01.2020). http://dx.doi.org/10.1128/msystems.00357-19.
Pełny tekst źródłaXing, Jieqi, Yu Shi, Xiaoquan Su i Shunyao Wu. "Discovering Microbe-disease Associations with Weighted Graph Convolution Networks and Taxonomy Common Tree". Current Bioinformatics 18 (1.12.2023). http://dx.doi.org/10.2174/0115748936270441231116093650.
Pełny tekst źródłaYang, Chao, Wei Tang, Junqi Sun, Haipeng Guo, Shusheng Sun, Fuhong Miao, Guofeng Yang, Yiran Zhao, Zengyu Wang i Juan Sun. "Weeds in the Alfalfa Field Decrease Rhizosphere Microbial Diversity and Association Networks in the North China Plain". Frontiers in Microbiology 13 (17.03.2022). http://dx.doi.org/10.3389/fmicb.2022.840774.
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