Related references
Note: Only part of the references are listed.Efficient Sampling and Structure Learning of Bayesian Networks
Jack Kuipers et al.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2022)
Dynamic Bayesian Network Learning to Infer Sparse Models From Time Series Gene Expression Data
Hamda B. Ajmal et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2022)
A comprehensive overview and critical evaluation of gene regulatory network inference technologies
Mengyuan Zhao et al.
BRIEFINGS IN BIOINFORMATICS (2021)
A protein interaction landscape of breast cancer
Minkyu Kim et al.
SCIENCE (2021)
Construction of Condition-Specific Gene Regulatory Network Using Kernel Canonical Correlation Analysis
Dabin Jeong et al.
FRONTIERS IN GENETICS (2021)
Dynamic Bayesian Networks for Integrating Multi-omics Time Series Microbiome Data
Daniel Ruiz-Perez et al.
MSYSTEMS (2021)
Gene Regulation Network Analysis on Human Prostate Orthografts Highlights a Potential Role for the JMJD6 Regulon in Clinical Prostate Cancer
Mario Cangiano et al.
CANCERS (2021)
KEGG: integrating viruses and cellular organisms
Minoru Kanehisa et al.
NUCLEIC ACIDS RESEARCH (2021)
Cancer classification from time series microarray data through regulatory Dynamic Bayesian Networks
Konstantina Kourou et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2020)
Combining gene expression data and prior knowledge for inferring gene regulatory networks via Bayesian networks using structural restrictions
Luis M. de Campos et al.
STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY (2019)
NormalyzerDE: Online Tool for Improved Normalization of Omics Expression Data and High-Sensitivity Differential Expression Analysis
Jakob Willforss et al.
JOURNAL OF PROTEOME RESEARCH (2019)
STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets
Damian Szklarczyk et al.
NUCLEIC ACIDS RESEARCH (2019)
RNDEtree: Regulatory Network With Differential Equation Based on Flexible Neural Tree With Novel Criterion Function
Bin Yang et al.
IEEE ACCESS (2019)
Using single-index ODEs to study dynamic gene regulatory network
Qi Zhang et al.
PLOS ONE (2018)
dynGENIE3: dynamical GENIE3 for the inference of gene networks from time series expression data
Van Anh Huynh-Thu et al.
SCIENTIFIC REPORTS (2018)
Identifying a Probabilistic Boolean Threshold Network From Samples
Avraham A. Melkman et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)
Mutational interactions define novel cancer subgroups
Jack Kuipers et al.
NATURE COMMUNICATIONS (2018)
Statistical and Machine Learning Approaches to Predict Gene Regulatory Networks From Transcriptome Datasets
Keiichi Mochida et al.
FRONTIERS IN PLANT SCIENCE (2018)
An improved Bayesian network method for reconstructing gene regulatory network based on candidate auto selection
Linlin Xing et al.
BMC GENOMICS (2017)
OmniPath: guidelines and gateway for literature-curated signaling pathway resources
Denes Turei et al.
NATURE METHODS (2016)
Cyclin-dependent protein kinase inhibitors including palbociclib as anticancer drugs
Robert Roskoski
PHARMACOLOGICAL RESEARCH (2016)
Longitudinal Prediction of the Infant Gut Microbiome with Dynamic Bayesian Networks
Michael J. McGeachie et al.
SCIENTIFIC REPORTS (2016)
Inferring orthologous gene regulatory networks using interspecies data fusion
Christopher A. Penfold et al.
BIOINFORMATICS (2015)
Improving gene regulatory network inference using network topology information
Ajay Nair et al.
MOLECULAR BIOSYSTEMS (2015)
limma powers differential expression analyses for RNA-sequencing and microarray studies
Matthew E. Ritchie et al.
NUCLEIC ACIDS RESEARCH (2015)
JOINT ESTIMATION OF MULTIPLE RELATED BIOLOGICAL NETWORKS
Chris J. Oates et al.
ANNALS OF APPLIED STATISTICS (2014)
We provide a correction to the expression for scoring Gaussian directed acyclic graphical models derived in Geiger and Heckerman (vol 30, pg 1414, 2002)
Jack Kuipers et al.
ANNALS OF STATISTICS (2014)
Targeting cyclin-dependent kinase 1 (CDK1) but not CDK4/6 or CDK2 is selectively lethal to MYC-dependent human breast cancer cells
Jian Kang et al.
BMC CANCER (2014)
Gene regulatory networks and their applications: understanding biological and medical problems in terms of networks
Frank Emmert-Streib et al.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY (2014)
NCBI GEO: archive for functional genomics data sets-update
Tanya Barrett et al.
NUCLEIC ACIDS RESEARCH (2013)
Effects of Warm Ischemic Time on Gene Expression Profiling in Colorectal Cancer Tissues and Normal Mucosa
Valeria Musella et al.
PLOS ONE (2013)
Inferring gene regulatory networks from gene expression data by path consistency algorithm based on conditional mutual information
Xiujun Zhang et al.
BIOINFORMATICS (2012)
Gene regulatory network inference: evaluation and application to ovarian cancer allows the prioritization of drug targets
Piyush B. Madhamshettiwar et al.
GENOME MEDICINE (2012)
Improvements in the reconstruction of time-varying gene regulatory networks: dynamic programming and regularization by information sharing among genes
Marco Grzegorczyk et al.
BIOINFORMATICS (2011)
Learning the structure of gene regulatory networks from time series gene expression data
Haoni Li et al.
BMC GENOMICS (2011)
Learning Bayesian Networks with the bnlearn R Package
Marco Scutari
JOURNAL OF STATISTICAL SOFTWARE (2010)
Characterizing Dynamic Changes in the Human Blood Transcriptional Network
Jun Zhu et al.
PLOS COMPUTATIONAL BIOLOGY (2010)
Changes in expression of oestrogen regulated and proliferation genes with neoadjuvant treatment highlight heterogeneity of clinical resistance to the aromatase inhibitor, letrozole
William R. Miller et al.
BREAST CANCER RESEARCH (2010)
Inferring Dynamic Genetic Networks with Low Order Independencies
Sophie Lebre
STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY (2009)
The max-min hill-climbing Bayesian network structure learning algorithm
Ioannis Tsamardinos et al.
MACHINE LEARNING (2006)
ARACNE: An algorithm for the reconstruction of gene regulatory networks in a mammalian cellular context
AA Margolin et al.
BMC BIOINFORMATICS (2006)
A new dynamic Bayesian network (DBN) approach for identifying gene regulatory networks from time course microarray data
M Zou et al.
BIOINFORMATICS (2005)
affy -: analysis of Affymetrix GeneChip data at the probe level
L Gautier et al.
BIOINFORMATICS (2004)
Inferring cellular networks using probabilistic graphical models
N Friedman
SCIENCE (2004)
Coexpression analysis of human genes across many microarray data sets
HK Lee et al.
GENOME RESEARCH (2004)
Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian networks
D Husmeier
BIOINFORMATICS (2003)
Being Bayesian about network structure. A Bayesian approach to structure discovery in Bayesian networks
N Friedman et al.
MACHINE LEARNING (2003)
Using Bayesian networks to analyze expression data
N Friedman et al.
JOURNAL OF COMPUTATIONAL BIOLOGY (2000)
Share Paper
