Network topology and parameter estimation: from experimental design methods to gene regulatory network kinetics using a community based approach
about
Crowdsourcing biomedical research: leveraging communities as innovation enginesPrediction of Genetic Interactions Using Machine Learning and Network PropertiesInferring causal molecular networks: empirical assessment through a community-based effortSparse Regression Based Structure Learning of Stochastic Reaction Networks from Single Cell Snapshot Time SeriesA Crowdsourcing Approach to Developing and Assessing Prediction Algorithms for AML PrognosisL1 regularization facilitates detection of cell type-specific parameters in dynamical systems.Data- and knowledge-based modeling of gene regulatory networks: an update.BioPreDyn-bench: a suite of benchmark problems for dynamic modelling in systems biology.Summary of the DREAM8 Parameter Estimation Challenge: Toward Parameter Identification for Whole-Cell Models.DREAMTools: a Python package for scoring collaborative challenges.Designing Experiments to Discriminate Families of Logic Models.Prediction of human population responses to toxic compounds by a collaborative competition.Gene Regulatory Network Inferences Using a Maximum-Relevance and Maximum-Significance Strategy.Parameter estimation in large-scale systems biology models: a parallel and self-adaptive cooperative strategyPredicting network modules of cell cycle regulators using relative protein abundance statistics.Interrogating the topological robustness of gene regulatory circuits by randomization.Metabolic network segmentation: A probabilistic graphical modeling approach to identify the sites and sequential order of metabolic regulation from non-targeted metabolomics data.A Bayesian approach to estimating hidden variables as well as missing and wrong molecular interactions in ordinary differential equation-based mathematical models.Computational identification and analysis of signaling subnetworks with distinct functional roles in the regulation of TNF production.SYSTEMS BIOLOGY. Systems biology (un)certainties.Single-cell transcriptional analysis to uncover regulatory circuits driving cell fate decisions in early mouse development.
P2860
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P2860
Network topology and parameter estimation: from experimental design methods to gene regulatory network kinetics using a community based approach
description
2014 nî lūn-bûn
@nan
2014 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի փետրվարին 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
Network topology and parameter ...... ing a community based approach
@ast
Network topology and parameter ...... ing a community based approach
@en
type
label
Network topology and parameter ...... ing a community based approach
@ast
Network topology and parameter ...... ing a community based approach
@en
prefLabel
Network topology and parameter ...... ing a community based approach
@ast
Network topology and parameter ...... ing a community based approach
@en
P2093
P2860
P50
P356
P1433
P1476
Network topology and parameter ...... ing a community based approach
@en
P2093
Andreas Raue
Bernhard Steiert
Deepak Chandran
Erhan Bilal
George Tucker
Gustavo Stolovitzky
Herbert M Sauro
Jens Timmer
Kyung Hyuk Kim
Mark Lipson
P2860
P2888
P356
10.1186/1752-0509-8-13
P577
2014-02-07T00:00:00Z
P5875
P6179
1021117307