about
Comparison of co-expression measures: mutual information, correlation, and model based indicesIdentifying gene regulatory networks in schizophreniaMolecular profiles to biology and pathways: a systems biology approachSingle-cell transcriptome sequencing: recent advances and remaining challengesNon-coding yet non-trivial: a review on the computational genomics of lincRNAsSystems biology applied to vaccine and immunotherapy developmentReverse engineering and identification in systems biology: strategies, perspectives and challengesSystems analysis of high-throughput dataRoot systems biology: integrative modeling across scales, from gene regulatory networks to the rhizosphereRobust reconstruction of gene expression profiles from reporter gene data using linear inversion.Gene expression prediction using low-rank matrix completion.Spatial analysis of expression patterns predicts genetic interactions at the mid-hindbrain boundaryQuantitative and logic modelling of molecular and gene networksA review on computational systems biology of pathogen-host interactionsSignaling Pathways and Gene Regulatory Networks in Cardiomyocyte DifferentiationNetwork Inference and Biological DynamicsDEGAS: de novo discovery of dysregulated pathways in human diseasesCell cycle gene networks are associated with melanoma prognosisUsing topology to tame the complex biochemistry of genetic networksInferring causal molecular networks: empirical assessment through a community-based effortMetabolic constraint-based refinement of transcriptional regulatory networksReceptor tyrosine kinases fall into distinct classes based on their inferred signaling networksMIDER: network inference with mutual information distance and entropy reductionLeveraging systems biology approaches in clinical pharmacologyInference of quantitative models of bacterial promoters from time-series reporter gene dataReverse engineering a mouse embryonic stem cell-specific transcriptional network reveals a new modulator of neuronal differentiationGene expression inference with deep learning.Experimental and computational validation of models of fluorescent and luminescent reporter genes in bacteriaA comprehensive assessment of methods for de-novo reverse-engineering of genome-scale regulatory networks.GINI: from ISH images to gene interaction networksIntegrating external biological knowledge in the construction of regulatory networks from time-series expression data.CellNOptR: a flexible toolkit to train protein signaling networks to data using multiple logic formalisms.Inference of dynamical gene-regulatory networks based on time-resolved multi-stimuli multi-experiment data applying NetGenerator V2.0.A dynamic time order network for time-series gene expression data analysis.Linking proteomic and transcriptional data through the interactome and epigenome reveals a map of oncogene-induced signaling.PhosphoChain: a novel algorithm to predict kinase and phosphatase networks from high-throughput expression dataENNET: inferring large gene regulatory networks from expression data using gradient boostingGene regulatory network modeling using literature curated and high throughput data.Statistical methods for the analysis of high-throughput metabolomics data.Inference and validation of predictive gene networks from biomedical literature and gene expression data.
P2860
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P2860
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
How to infer gene networks from expression profiles.
@en
type
label
How to infer gene networks from expression profiles.
@en
prefLabel
How to infer gene networks from expression profiles.
@en
P2860
P50
P356
P1476
How to infer gene networks from expression profiles.
@en
P2093
Mukesh Bansal
P2860
P356
10.1038/MSB4100120
P577
2007-02-13T00:00:00Z