Cargando…

High-order dynamic Bayesian Network learning with hidden common causes for causal gene regulatory network

BACKGROUND: Inferring gene regulatory network (GRN) has been an important topic in Bioinformatics. Many computational methods infer the GRN from high-throughput expression data. Due to the presence of time delays in the regulatory relationships, High-Order Dynamic Bayesian Network (HO-DBN) is a good...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lo, Leung-Yau, Wong, Man-Leung, Lee, Kin-Hong, Leung, Kwong-Sak
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2015
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4659244/ https://www.ncbi.nlm.nih.gov/pubmed/26608050 http://dx.doi.org/10.1186/s12859-015-0823-6

Ejemplares similares

Time Delayed Causal Gene Regulatory Network Inference with Hidden Common Causes
por: Lo, Leung-Yau, et al.
Publicado: (2015)

A Survey of Wireless Sensor Network Based Air Pollution Monitoring Systems
por: Yi, Wei Ying, et al.
Publicado: (2015)

Discovering Genetic Factors for psoriasis through exhaustively searching for significant second order SNP-SNP interactions
por: Lee, Kwan-Yeung, et al.
Publicado: (2018)

Hidden Markov induced Dynamic Bayesian Network for recovering time evolving gene regulatory networks
por: Zhu, Shijia, et al.
Publicado: (2015)

CrossNorm: a novel normalization strategy for microarray data in cancers
por: Cheng, Lixin, et al.
Publicado: (2016)

Identification of Clinically Approved Drugs Indacaterol and Canagliflozin for Repurposing to Treat Epidermal Growth Factor Tyrosine Kinase Inhibitor-Resistant Lung Cancer
por: Li, Hongjian, et al.
Publicado: (2017)

Exploiting locational and topological overlap model to identify modules in protein interaction networks
por: Cheng, Lixin, et al.
Publicado: (2019)

Improving prediction of phenotypic drug response on cancer cell lines using deep convolutional network
por: Liu, Pengfei, et al.
Publicado: (2019)

Gene regulatory network modeling via global optimization of high-order dynamic Bayesian network
por: Xuan, Nguyen, et al.
Publicado: (2012)

ABMapper: a suffix array-based tool for multi-location searching and splice-junction mapping
por: Lou, Shao-Ke, et al.
Publicado: (2011)

iview: an interactive WebGL visualizer for protein-ligand complex
por: Li, Hongjian, et al.
Publicado: (2014)

Long non-coding RNA pairs to assist in diagnosing sepsis
por: Zheng, Xubin, et al.
Publicado: (2021)

Substituting random forest for multiple linear regression improves binding affinity prediction of scoring functions: Cyscore as a case study
por: Li, Hongjian, et al.
Publicado: (2014)

istar: A Web Platform for Large-Scale Protein-Ligand Docking
por: Li, Hongjian, et al.
Publicado: (2014)

Correcting the impact of docking pose generation error on binding affinity prediction
por: Li, Hongjian, et al.
Publicado: (2016)

Low-Quality Structural and Interaction Data Improves Binding Affinity Prediction via Random Forest
por: Li, Hongjian, et al.
Publicado: (2015)

CausalTrail: Testing hypothesis using causal Bayesian networks
por: Stöckel, Daniel, et al.
Publicado: (2015)

A Modular Plug-And-Play Sensor System for Urban Air Pollution Monitoring: Design, Implementation and Evaluation
por: Yi, Wei-Ying, et al.
Publicado: (2017)

The Impact of Protein Structure and Sequence Similarity on the Accuracy of Machine-Learning Scoring Functions for Binding Affinity Prediction
por: Li, Hongjian, et al.
Publicado: (2018)

Predicting associations among drugs, targets and diseases by tensor decomposition for drug repositioning
por: Wang, Ran, et al.
Publicado: (2019)

Discovering multiple realistic TFBS motifs based on a generalized model
por: Chan, Tak-Ming, et al.
Publicado: (2009)

bvnGPS: a generalizable diagnostic model for acute bacterial and viral infection using integrative host transcriptomics and pretrained neural networks
por: Li, Qizhi, et al.
Publicado: (2023)

Subtypes of associated protein–DNA (Transcription Factor-Transcription Factor Binding Site) patterns
por: Chan, Tak-Ming, et al.
Publicado: (2012)

Deciphering associations between gut microbiota and clinical factors using microbial modules
por: Wang, Ran, et al.
Publicado: (2023)

Discovering protein–DNA binding sequence patterns using association rule mining
por: Leung, Kwong-Sak, et al.
Publicado: (2010)

SMILE: a novel procedure for subcellular module identification with localisation expansion
por: Cheng, Lixin, et al.
Publicado: (2018)

Causal Discovery in High-Dimensional Point Process Networks with Hidden Nodes
por: Wang, Xu, et al.
Publicado: (2021)

Causal Inference Network of Genes Related with Bone Metastasis of Breast Cancer and Osteoblasts Using Causal Bayesian Networks
por: Park, Sung Bae, et al.
Publicado: (2018)

Prophetic Granger Causality to infer gene regulatory networks
por: Carlin, Daniel E., et al.
Publicado: (2017)

Genome-Wide Search for SNP Interactions in GWAS Data: Algorithm, Feasibility, Replication Using Schizophrenia Datasets
por: Lee, Kwan-Yeung, et al.
Publicado: (2020)

Granger causality vs. dynamic Bayesian network inference: a comparative study
por: Zou, Cunlu, et al.
Publicado: (2009)

Granger causality vs. dynamic Bayesian network inference: a comparative study
por: Zou, Cunlu, et al.
Publicado: (2009)

Erratum to: Causal Inference Network of Genes Related with Bone Metastasis of Breast Cancer and Osteoblasts Using Causal Bayesian Networks
por: Park, Sung Bae, et al.
Publicado: (2019)

Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks
por: Li, Peng, et al.
Publicado: (2007)

MICMIC: identification of DNA methylation of distal regulatory regions with causal effects on tumorigenesis
por: Tong, Yin, et al.
Publicado: (2018)

CORN—Condition Orientated Regulatory Networks: bridging conditions to gene networks
por: Leung, Ricky Wai Tak, et al.
Publicado: (2022)

Evaluating the Consistency of Gene Methylation in Liver Cancer Using Bisulfite Sequencing Data
por: Zheng, Xubin, et al.
Publicado: (2021)

Construction of gene regulatory networks using biclustering and bayesian networks
por: Alakwaa, Fadhl M, et al.
Publicado: (2011)

Inference of Gene Regulatory Network Based on Local Bayesian Networks
por: Liu, Fei, et al.
Publicado: (2016)

Detection of splicing events and multiread locations from RNA-seq data based on a geometric-tail (GT) distribution of intron length
por: Lou, Shao-Ke, et al.
Publicado: (2011)

Cannot write session to /tmp/vufind_sessions/sess_v0vth22bck4c37p99unkpk12t1