Least absolute regression network analysis of the murine osteoblast differentiation network.
about
Large-scale mapping and validation of Escherichia coli transcriptional regulation from a compendium of expression profilesWisdom of crowds for robust gene network inferenceIdentifying biological network structure, predicting network behavior, and classifying network state with High Dimensional Model Representation (HDMR)Integrating external biological knowledge in the construction of regulatory networks from time-series expression data.Integration of steady-state and temporal gene expression data for the inference of gene regulatory networksA bayesian framework that integrates heterogeneous data for inferring gene regulatory networksData- and knowledge-based modeling of gene regulatory networks: an update.Models and computational strategies linking physiological response to molecular networks from large-scale data.Integrative modeling of transcriptional regulation in response to antirheumatic therapyReconstructing nonlinear dynamic models of gene regulation using stochastic sampling.DREAM4: Combining genetic and dynamic information to identify biological networks and dynamical modelsInference of cancer-specific gene regulatory networks using soft computing rules.Dynamic modelling of microRNA regulation during mesenchymal stem cell differentiation.Harnessing diversity towards the reconstructing of large scale gene regulatory networks.Direct targets of the TRP63 transcription factor revealed by a combination of gene expression profiling and reverse engineeringUnderstanding transcriptional regulatory networks using computational models.Identifying time-delayed gene regulatory networks via an evolvable hierarchical recurrent neural network.Gene co-expression analysis for functional classification and gene-disease predictions.How to infer gene networks from expression profiles.Identifying targets of multiple co-regulating transcription factors from expression time-series by Bayesian model comparison.Statistical inference of transcriptional module-based gene networks from time course gene expression profiles by using state space models.Windowed Granger causal inference strategy improves discovery of gene regulatory networks.Biologically anchored knowledge expansion approach uncovers KLF4 as a novel insulin signaling regulator
P2860
Q21145898-9F048637-A48F-4CC1-8442-94ED7D2139B2Q24604615-624A1EC2-8D14-4276-9EF8-2E50EFB47EB5Q28480501-15446715-85DA-4032-B6E3-130EBD7D2810Q30557880-817D5AB3-5B82-4595-A910-E6E7983CADAEQ30662866-48947C44-236A-4199-AADE-21B46D670D9BQ30844584-17EDABFB-CFD7-43EA-A5CD-569E53F835DCQ31068983-AEA22A5E-0B05-465F-B7B2-10D46723BB83Q33344316-567733A1-3033-4F35-8318-F21C2E74F4BCQ33496328-DBAF432F-773F-4E90-A9CC-8326060426A6Q33520988-50373000-8235-46A3-925C-0D8F40B5D77BQ33737739-EB64AADA-CA1F-4795-B316-807D5F079013Q33834457-441E0585-D317-401A-BCBE-275563689896Q35039443-76396F8B-D84A-4099-B707-ED7287692FE3Q35053012-8469EE69-A29A-4796-A3F9-A9B38904A26CQ36700199-FAAAEEA8-24DA-49BB-A0D9-E47C0050A8A5Q37091313-3DA92991-989F-45BF-934C-B7FC4007DEB1Q38429373-97350459-2330-43D9-A1B6-4E3B8292944BQ38771720-4D92197B-24C2-4FBC-A2A9-6EACD892EEE3Q41827428-1A1DC4D3-DCF0-4DCA-ACE9-4A3E953FCA11Q42088648-3595143B-936D-4741-A092-FC6F360D0D5FQ42646000-E0EF7D5E-F1ED-4ADB-8581-CCF13BF59E02Q50026407-108FC455-4847-4DDD-9AC4-55AA07D38A9DQ58707437-BC3C1B2C-6FB0-40C7-9D6A-C6F53F0F2A81
P2860
Least absolute regression network analysis of the murine osteoblast differentiation network.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
2005年论文
@zh
2005年论文
@zh-cn
name
Least absolute regression netw ...... blast differentiation network.
@en
type
label
Least absolute regression netw ...... blast differentiation network.
@en
prefLabel
Least absolute regression netw ...... blast differentiation network.
@en
P2093
P356
P1433
P1476
Least absolute regression netw ...... blast differentiation network.
@en
P2093
A M Sijbers
B L T Vaes
E P van Someren
K J Dechering
M J T Reinders
W T Steegenga
P304
P356
10.1093/BIOINFORMATICS/BTI816
P407
P577
2005-12-06T00:00:00Z