From knockouts to networks: establishing direct cause-effect relationships through graph analysis.
about
Network reconstruction using nonparametric additive ODE modelsMining precise cause and effect rules in large time series data of socio-economic indicatorsNetwork deconvolution as a general method to distinguish direct dependencies in networksGene regulatory network inference from multifactorial perturbation data using both regression and correlation analyses.Mapping functional transcription factor networks from gene expression data.Joint estimation of causal effects from observational and intervention gene expression dataA Sparse Reconstruction Approach for Identifying Gene Regulatory Networks Using Steady-State Experiment Data.Reconstructing genome-wide regulatory network of E. coli using transcriptome data and predicted transcription factor activities.Data- and knowledge-based modeling of gene regulatory networks: an update.A relative variation-based method to unraveling gene regulatory networks.Statistical inference and reverse engineering of gene regulatory networks from observational expression data.Efficient reconstruction of biological networks via transitive reduction on general purpose graphics processors.Integrating Bayesian variable selection with Modular Response Analysis to infer biochemical network topologyInferring regulatory networks by combining perturbation screens and steady state gene expression profiles.Fast Bayesian inference for gene regulatory networks using ScanBMA.Ensemble inference and inferability of gene regulatory networks.A group LASSO-based method for robustly inferring gene regulatory networks from multiple time-course datasets.How difficult is inference of mammalian causal gene regulatory networks?Integrative random forest for gene regulatory network inferenceIntegrative approach for inference of gene regulatory networks using lasso-based random featuring and application to psychiatric disordersIdentification of marginal causal relationships in gene networks from observational and interventional expression data.Reverse engineering systems models of regulation: discovery, prediction and mechanisms.Inference of Gene Regulatory Networks Using Bayesian Nonparametric Regression and Topology Information.Integrated inference and analysis of regulatory networks from multi-level measurements.Multiple Linear Regression for Reconstruction of Gene Regulatory Networks in Solving Cascade Error Problems.SINCERITIES: Inferring gene regulatory networks from time-stamped single cell transcriptional expression profiles.Reconstruction of large-scale regulatory networks based on perturbation graphs and transitive reduction: improved methods and their evaluation.Inferring gene regulatory networks from single-cell data: a mechanistic approach.dynGENIE3: dynamical GENIE3 for the inference of gene networks from time series expression data.
P2860
Q28537817-4014366F-FF29-4233-9024-615B68062EC4Q28595422-D4C2C889-3318-4D09-AAEC-170FEBEB866FQ30352074-8BCFAC15-F9DB-42A0-835E-FFC30F373EB2Q30571641-2766B85A-55E4-43A7-B02E-6D4F998E6123Q30620797-61DEF085-EEB6-479F-9E06-44B6DC766E42Q30686093-22C30535-8DAE-4C6E-B14E-BF7B6F141237Q30982476-5BACC3E3-F383-41BA-9FBC-5C2752B10465Q31018084-E7CE9DD4-6710-47A7-A60A-A419992C5143Q31068983-173BFA1B-7939-4D0F-9B49-3C71736881B2Q34170612-4F59528F-5E34-48CB-B39A-02FAA9C37132Q34191343-3E58D1EB-6CF7-4AEA-87DE-E75024AC801FQ34461598-A64F0B3A-9DDA-41D0-8572-7AC6ABBE5684Q34800432-6E667501-BB12-4B93-978A-CD0FF6BB1BD4Q35105811-6ED0CB2A-FF2E-40F0-85FF-A4742095C08CQ35151163-35FFB166-F3D1-474F-953C-1C50B1D469E8Q35219472-108313F2-B8FE-46C5-BA24-4168D481E386Q35372126-87671916-09C7-41C3-9B89-3704FE48AD06Q35391659-6CC97DEA-F51C-4EE0-9028-AC76C23B52BEQ35975088-A30CA3F6-A5B3-44B1-865C-58ADACE3D054Q36100608-16051E39-9388-41D4-8205-FB9AECEFDA58Q36310522-6778E771-6664-4F5D-891D-AB84C3463FB9Q36337384-EB7880EB-90D0-4FCD-AAAF-CFF8E1BE22E5Q37591510-B2C1B5F9-F088-4C66-B596-1120CBDEC392Q38000683-9E0ED5E4-1995-449C-A134-AC92985244A7Q38934657-3DD7564F-89AA-42CC-BE9A-0673BF838092Q42696604-E6B01A65-EDC8-4D03-B2F4-907AFDD58F19Q43005281-34C13B61-EEA0-493A-B319-3872B73AE09CQ45799564-021708AC-D38F-4264-BC57-613257D486BCQ55406366-E19A7ECC-136B-4724-AFA2-0FDA6CC2756D
P2860
From knockouts to networks: establishing direct cause-effect relationships through graph analysis.
description
2010 nî lūn-bûn
@nan
2010 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
From knockouts to networks: es ...... nships through graph analysis.
@ast
From knockouts to networks: es ...... nships through graph analysis.
@en
type
label
From knockouts to networks: es ...... nships through graph analysis.
@ast
From knockouts to networks: es ...... nships through graph analysis.
@en
prefLabel
From knockouts to networks: es ...... nships through graph analysis.
@ast
From knockouts to networks: es ...... nships through graph analysis.
@en
P2860
P1433
P1476
From knockouts to networks: es ...... onships through graph analysis
@en
P2093
Alberto de la Fuente
Andrea Pinna
P2860
P304
P356
10.1371/JOURNAL.PONE.0012912
P407
P577
2010-10-11T00:00:00Z