Results 1 to 10 of about 241,962 (262)

Genetic co-occurrence network across sequenced microbes. [PDF]

PLoS Computational Biology, 2011
The phenotype of any organism on earth is, in large part, the consequence of interplay between numerous gene products encoded in the genome, and such interplay between gene products affects the evolutionary fate of the genome itself through the resulting
Pan-Jun Kim, Nathan D Price
doaj   +6 more sources

Plants Play Stronger Effects on Soil Fungal than Bacterial Communities and Co-Occurrence Network Structures in a Subtropical Tree Diversity Experiment [PDF]

Microbiology Spectrum, 2022
Increasing biodiversity loss profoundly affects community structure and ecosystem functioning. However, the differences in community assembly and potential drivers of the co-occurrence network structure of soil fungi and bacteria in association with tree
Huiyun Gan, Xingchun Li, Yonglong Wang, Pengpeng Lü, Niuniu Ji, Hui Yao, Shan Li, Liangdong Guo   +7 more
doaj   +2 more sources

Rhizosphere Microbiome Co-Occurrence Network Analysis across a Tomato Domestication Gradient [PDF]

Microorganisms
When plant-available phosphorus (P) is lost from a soil solution, it often accumulates in the soil as a pool of unavailable legacy P. To acquire legacy P, plants employ recovery strategies, such as forming associations with soil microbes.
Mary M. Dixon, Antisar Afkairin, Daniel K. Manter, Jorge Vivanco   +3 more
doaj   +2 more sources

An ingredient co-occurrence network gives insight into e-liquid flavor complexity [PDF]

Tobacco Induced Diseases
Introduction Part of the appeal of e-cigarettes lies in their available flavors. To achieve attractive flavors, e-liquids contain many different flavoring agents, which allow many flavoring combinations.
Jeroen L. A. Pennings, Ina M. Hellmich, Sanne Boesveldt, Reinskje Talhout   +3 more
doaj   +2 more sources

ggClusterNet 2: An R package for microbial co‐occurrence networks and associated indicator correlation patterns

iMeta
Since its initial release in 2022, ggClusterNet has become a vital tool for microbiome research, enabling microbial co‐occurrence network analysis and visualization in over 300 studies.
Tao Wen, Yong‐Xin Liu, Lanlan Liu, Guoqing Niu, Zhexu Ding, Xinyang Teng, Jie Ma, Ying Liu, Shengdie Yang, Penghao Xie, Tianjiao Zhang, Lei Wang, Zhanyuan Lu, Qirong Shen, Jun Yuan   +14 more
doaj   +2 more sources

bibliometric analysis and visualization of published research on social media and tourism [PDF]

Muṭāli̒āt-i Mudīriyyat-i Gardishgarī, 2021
Social media plays an important role in many aspects of tourism, especially in information retrieval, decision making, tourism promotion, and customer interaction. Due to the growing number of published researches in the field of social media and tourism,
Sara ilchi, amirsalar vanaki, mesbah seivandian   +2 more
doaj   +1 more source

TAMNR: a network embedding learning algorithm using text attention mechanism [PDF]

PeerJ Computer Science, 2023
Because many existing algorithms are mainly trained based on the structural features of the networks, the results are more inclined to the structural commonality of the networks.
Wei Zhang, Zhonglin Ye, Haixing Zhao, Jingjing Lin, Xiaojuan Ma   +4 more
doaj   +2 more sources

Development of a Dynamic Network Model to Identify Temporal Patterns of Structural Malformations in Zebrafish Embryos Exposed to a Model Toxicant, Tris(4-chlorophenyl)methanol

Journal of Xenobiotics, 2023
Embryogenesis is a well-coordinated process relying on precise cues and environmental signals that direct spatiotemporal embryonic patterning. Quite often, when one error in this process occurs, others tend to co-occur. We posit that investigating the co-
Ashley V. Schwartz, Karilyn E. Sant, Uduak Z. George   +2 more
doaj   +1 more source

The effect of disease co-occurrence measurement on multimorbidity networks: a population-based study

BMC Medical Research Methodology, 2022
Background Network analysis, a technique for describing relationships, can provide insights into patterns of co-occurring chronic health conditions. The effect that co-occurrence measurement has on disease network structure and resulting inferences has ...
Barret A. Monchka, Carson K. Leung, Nathan C. Nickel, Lisa M. Lix   +3 more
doaj   +1 more source

New Insights into the Co-Occurrences of Glycoside Hydrolase Genes among Prokaryotic Genomes through Network Analysis

Microorganisms, 2021
Glycoside hydrolase (GH) represents a crucial category of enzymes for carbohydrate utilization in most organisms. A series of glycoside hydrolase families (GHFs) have been classified, with relevant information deposited in the CAZy database.
Alei Geng, Meng Jin, Nana Li, Daochen Zhu, Rongrong Xie, Qianqian Wang, Huaxing Lin, Jianzhong Sun   +7 more
doaj   +1 more source