MIDER: network inference with mutual information distance and entropy reduction
about
Reverse enGENEering of Regulatory Networks from Big Data: A Roadmap for BiologistsCattle genome-wide analysis reveals genetic signatures in trypanotolerant N'Dama.Inferring protein modulation from gene expression data using conditional mutual information.Enabling network inference methods to handle missing data and outliers.DTW-MIC Coexpression Networks from Time-Course Data.Nonlinear Network Reconstruction from Gene Expression Data Using Marginal Dependencies Measured by DCOL.Data-driven reverse engineering of signaling pathways using ensembles of dynamic models.A novel mutual information-based Boolean network inference method from time-series gene expression data.Mutual Information between Discrete Variables with Many Categories using Recursive Adaptive Partitioning.Gene Regulatory Network Inferences Using a Maximum-Relevance and Maximum-Significance Strategy.Integrating modelling and smart sensors for environmental and human health.SiGNet: A signaling network data simulator to enable signaling network inference.MIrExpress: A Database for Gene Coexpression Correlation in Immune Cells Based on Mutual Information and Pearson Correlation.Reverse engineering cellular networks with information theoretic methods.Metabolic network discovery by top-down and bottom-up approaches and paths for reconciliation.Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data.A Self-Synthesis Approach to Perceptual Learning for Multisensory Fusion in Robotics.Boolean modeling techniques for protein co-expression networks in systems medicine.Modeling the neurodynamic organizations and interactions of teams.Gene Regulatory Network Inference from Single-Cell Data Using Multivariate Information Measures.Reconstructing the structure of directed and weighted networks of nonlinear oscillators.Optimal information networks: Application for data-driven integrated health in populations.Development of stock correlation networks using mutual information and financial big data.The randomized information coefficient: assessing dependencies in noisy data
P2860
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P2860
MIDER: network inference with mutual information distance and entropy reduction
description
2014 nî lūn-bûn
@nan
2014 թուականին հրատարակուած գիտական յօդուած
@hyw
2014 թվականին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
MIDER: network inference with mutual information distance and entropy reduction
@ast
MIDER: network inference with mutual information distance and entropy reduction
@en
MIDER: network inference with mutual information distance and entropy reduction
@nl
type
label
MIDER: network inference with mutual information distance and entropy reduction
@ast
MIDER: network inference with mutual information distance and entropy reduction
@en
MIDER: network inference with mutual information distance and entropy reduction
@nl
prefLabel
MIDER: network inference with mutual information distance and entropy reduction
@ast
MIDER: network inference with mutual information distance and entropy reduction
@en
MIDER: network inference with mutual information distance and entropy reduction
@nl
P2860
P3181
P1433
P1476
MIDER: network inference with mutual information distance and entropy reduction
@en
P2093
Federico Morán
P2860
P304
P3181
P356
10.1371/JOURNAL.PONE.0096732
P407
P577
2014-01-01T00:00:00Z