Cargando…

Network-Based Segmentation of Biological Multivariate Time Series

Molecular phenotyping technologies (e.g., transcriptomics, proteomics, and metabolomics) offer the possibility to simultaneously obtain multivariate time series (MTS) data from different levels of information processing and metabolic conversions in biological systems. As a result, MTS data capture t...

Descripción completa

Detalles Bibliográficos
Autores principales:	Omranian, Nooshin, Klie, Sebastian, Mueller-Roeber, Bernd, Nikoloski, Zoran
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2013
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3646968/ https://www.ncbi.nlm.nih.gov/pubmed/23667552 http://dx.doi.org/10.1371/journal.pone.0062974

Ejemplares similares

Segmentation of biological multivariate time-series data
por: Omranian, Nooshin, et al.
Publicado: (2015)

Gene regulatory network inference using fused LASSO on multiple data sets
por: Omranian, Nooshin, et al.
Publicado: (2016)

Concurrent Conditional Clustering of Multiple Networks: COCONETS
por: Kleessen, Sabrina, et al.
Publicado: (2014)

Compromise of Multiple Time-Resolved Transcriptomics Experiments Identifies Tightly Regulated Functions
por: Klie, Sebastian, et al.
Publicado: (2012)

Efficient and accurate identification of protein complexes from protein-protein interaction networks based on the clustering coefficient
por: Omranian, Sara, et al.
Publicado: (2021)

PC2P: parameter-free network-based prediction of protein complexes
por: Omranian, Sara, et al.
Publicado: (2021)

A Biostimulant Obtained from the Seaweed Ascophyllum nodosum Protects Arabidopsis thaliana from Severe Oxidative Stress
por: Omidbakhshfard, Mohammad Amin, et al.
Publicado: (2020)

Stoichiometric Correlation Analysis: Principles of Metabolic Functionality from Metabolomics Data
por: Schwahn, Kevin, et al.
Publicado: (2017)

The Choice between MapMan and Gene Ontology for Automated Gene Function Prediction in Plant Science
por: Klie, Sebastian, et al.
Publicado: (2012)

Computational identification of protein complexes from network interactions: Present state, challenges, and the way forward
por: Omranian, Sara, et al.
Publicado: (2022)

A network property necessary for concentration robustness
por: Eloundou-Mbebi, Jeanne M. O., et al.
Publicado: (2016)

Widening the landscape of transcriptional regulation of green algal photoprotection
por: Arend, Marius, et al.
Publicado: (2023)

Gene regulatory network inference using mixed-norms regularized multivariate model with covariance selection
por: Mbebi, Alain J., et al.
Publicado: (2023)

Transcriptomic and Metabolomic Analysis of a Pseudomonas-Resistant versus a Susceptible Arabidopsis Accession
por: Orf, Isabel, et al.
Publicado: (2022)

Plasticity in metabolism underpins local responses to nitrogen in Arabidopsis thaliana populations
por: Pandey, Prashant K., et al.
Publicado: (2019)

Network structure of multivariate time series
por: Lacasa, Lucas, et al.
Publicado: (2015)

Genome-Wide Identification of Regulatory Elements and Reconstruction of Gene Regulatory Networks of the Green Alga Chlamydomonas reinhardtii under Carbon Deprivation
por: Vischi Winck, Flavia, et al.
Publicado: (2013)

Correction: Genome-Wide Identification of Regulatory Elements and Reconstruction of Gene Regulatory Networks of the Green Alga Chlamydomonas reinhardtii under Carbon Deprivation
por: Winck, Flavia Vischi, et al.
Publicado: (2014)

L(2,1)-norm regularized multivariate regression model with applications to genomic prediction
por: Mbebi, Alain J, et al.
Publicado: (2021)

Optimizing Functional Network Representation of Multivariate Time Series
por: Zanin, Massimiliano, et al.
Publicado: (2012)

Comparative Analysis Based on Transcriptomics and Metabolomics Data Reveal Differences between Emmer and Durum Wheat in Response to Nitrogen Starvation
por: Beleggia, Romina, et al.
Publicado: (2021)

Multivariate-Time-Series-Driven Real-time Anomaly Detection Based on Bayesian Network
por: Ding, Nan, et al.
Publicado: (2018)

A Multivariate Time-Series Based Approach for Quality Modeling in Wireless Networks
por: Aguayo, Leonardo, et al.
Publicado: (2021)

Flux-based hierarchical organization of Escherichia coli’s metabolic network
por: Robaina-Estévez, Semidán, et al.
Publicado: (2020)

Recurrent Neural Networks for Multivariate Time Series with Missing Values
por: Che, Zhengping, et al.
Publicado: (2018)

Multivariate Time Series Similarity Searching
por: Wang, Jimin, et al.
Publicado: (2014)

DeFiNe: an optimisation-based method for robust disentangling of filamentous networks
por: Breuer, David, et al.
Publicado: (2015)

Constructing ordinal partition transition networks from multivariate time series
por: Zhang, Jiayang, et al.
Publicado: (2017)

Spatial-Temporal Convolutional Transformer Network for Multivariate Time Series Forecasting
por: Huang, Lei, et al.
Publicado: (2022)

Hierarchical attention network for multivariate time series long-term forecasting
por: Bi, Hongjing, et al.
Publicado: (2022)

ImputeGAN: Generative Adversarial Network for Multivariate Time Series Imputation
por: Qin, Rui, et al.
Publicado: (2023)

Elements of multivariate time series analysis
por: Reinsel, Gregory C
Publicado: (1993)

Multivariate time series analysis and applications
por: Wei, William W S
Publicado: (2019)

Multivariate Time Series Information Bottleneck
por: Ullmann, Denis, et al.
Publicado: (2023)

Multivariate epidemic count time series model
por: Koyama, Shinsuke
Publicado: (2023)

Unraveling gene regulatory networks from time-resolved gene expression data -- a measures comparison study
por: Hempel, Sabrina, et al.
Publicado: (2011)

Supervised learning of gene-regulatory networks based on graph distance profiles of transcriptomics data
por: Razaghi-Moghadam, Zahra, et al.
Publicado: (2020)

Dynamic regulatory on/off minimization for biological systems under internal temporal perturbations
por: Kleessen, Sabrina, et al.
Publicado: (2012)

Integration of time-resolved transcriptomics data with flux-based methods reveals stress-induced metabolic adaptation in Escherichia coli
por: Töpfer, Nadine, et al.
Publicado: (2012)

Multivariate Time Series Imputation: An Approach Based on Dictionary Learning
por: Zheng, Xiaomeng, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_gcn4mtakvtt7u98kiq40m5su7o