Results 21 to 30 of about 209,835 (241)

Anaerobe-enriched gut microbiota predicts pro-inflammatory responses in pulmonary tuberculosis

EBioMedicine, 2021
Background: The relationship between tuberculosis (TB), one of the leading infectious causes of death worldwide, and the microbiome, which is critical for health, is poorly understood.
Charissa C. Naidoo, Georgina R. Nyawo, Imran Sulaiman, Benjamin G. Wu, Carolin T. Turner, Kevin Bu, Zaida Palmer, Yonghua Li, Byron W.P. Reeve, Suventha Moodley, Jennifer G. Jackson, Jason Limberis, Andreas H. Diacon, Paul D. van Helden, Jose C. Clemente, Robin M. Warren, Mahdad Noursadeghi, Leopoldo N. Segal, Grant Theron   +18 more
doaj   +1 more source

Empirical Co-occurrence Rate Networks for Sequence Labeling [PDF]

2013 12th International Conference on Machine Learning and Applications, 2013
Structured prediction has wide applications in many areas. Powerful and popular models for structured prediction have been developed. Despite the successes, they suffer from some known problems: (i) Hidden Markov models are generative models which suffer from the mismatch problem.
Zhu, Zhemin, Hiemstra, Djoerd, Apers, Peter Maria Gerardus, Wombacher, Andreas   +3 more
openaire   +2 more sources

Measuring similarity in co-occurrence data using ego-networks [PDF]

Chaos: An Interdisciplinary Journal of Nonlinear Science, 2020
The co-occurrence association is widely observed in many empirical data. Mining the information in co-occurrence data is essential for advancing our understanding of systems such as social networks, ecosystems, and brain networks. Measuring similarity of entities is one of the important tasks, which can usually be achieved using a network-based ...
Xiaomeng Wang, Yijun Ran, Tao Jia
openaire   +3 more sources

Structure of a Media Co-occurrence Network [PDF]

, 2016
Social networks have been of much interest in recent years. We here focus on a network structure derived from co-occurrences of people in traditional newspaper media. We find three clear deviations from what can be expected in a random graph. First, the average degree in the empirical network is much lower than expected, and the average weight of a ...
Traag, Vincent, van Klinken, G.A., Reinanda, R.   +2 more
openaire   +3 more sources

Difficulty in inferring microbial community structure based on co-occurrence network approaches

BMC Bioinformatics, 2019
Background Co-occurrence networks—ecological associations between sampled populations of microbial communities inferred from taxonomic composition data obtained from high-throughput sequencing techniques—are widely used in microbial ecology.
Hokuto Hirano, Kazuhiro Takemoto
doaj   +1 more source

Co-occurrence network of TV advertisements revealing Japanese lifestyle

Applied Network Science, 2021
The relationship between culture and the appeals in TV advertisements has been extensively studied. We attempted to reveal the image structure produced by TV commercials in Japan, which may show the cultural features of the country, and to evaluate its ...
Mariko I. Ito, Takaaki Ohnishi
doaj   +1 more source

Inferring microbial co-occurrence networks from amplicon data: a systematic evaluation

mSystems, 2023
Microbes commonly organize into communities consisting of hundreds of species involved in complex interactions with each other. 16S ribosomal RNA (16S rRNA) amplicon profiling provides snapshots that reveal the phylogenies and abundance profiles of these
Dileep Kishore, Gabriel Birzu, Zhenjun Hu, Charles DeLisi, Kirill S. Korolev, Daniel Segrè   +5 more
doaj   +1 more source

Integration of taxa abundance and occurrence frequency to identify key gut bacteria correlated to clinics in Crohn’s disease

BMC Microbiology, 2023
Bacteria abundance alternation in the feces or mucosa of Crohn’s disease (CD) patients has long been applied to identify potential biomarkers for this disease, while the taxa occurrence frequency and their correlations with clinical traits were ...
Xunchao Cai, Nan Zhou, Qian Zou, Yao Peng, Long Xu, Lijuan Feng, Xiaowei Liu   +6 more
doaj   +1 more source

Topic Network Analysis Based on Co-Occurrence Time Series Clustering

Mathematics, 2022
Traditional topic research divides similar topics into the same cluster according to clustering or classification from the perspective of users, which ignores the deep relationship within and between topics. In this paper, topic analysis is achieved from
Weibin Lin, Xianli Wu, Zhengwei Wang, Xiaoji Wan, Hailin Li   +4 more
doaj   +1 more source

Habitats Within the Plant Root Differ in Bacterial Network Topology and Taxonomic Assortativity

Molecular Plant-Microbe Interactions, 2023
The root microbiome is composed of distinct epiphytic (rhizosphere) and endophytic (endosphere) habitats. Differences in abiotic and biotic factors drive differences in microbial community diversity and composition between these habitats, though how they
Connor R. Fitzpatrick, Julia Copeland, Pauline W. Wang, David S. Guttman, Peter M. Kotanen, Marc T. J. Johnson   +5 more
doaj   +1 more source