Genetic network inference: from co-expression clustering to reverse engineering.
about
Gene expression prediction by soft integration and the elastic net-best performance of the DREAM3 gene expression challengeGeometric interpretation of gene coexpression network analysisEvaluation of gene-expression clustering via mutual information distance measureIntegrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networksComparison of co-expression measures: mutual information, correlation, and model based indicesEstimating mutual information using B-spline functions--an improved similarity measure for analysing gene expression dataEnriching for direct regulatory targets in perturbed gene-expression profilesCLUSFAVOR 5.0: hierarchical cluster and principal-component analysis of microarray-based transcriptional profiles.Towards reconstruction of gene networks from expression data by supervised learningIntegrating transcriptional controls for plant cell expansionTranscription-based prediction of response to IFNbeta using supervised computational methodsThe effects of normalization on the correlation structure of microarray dataTowards precise classification of cancers based on robust gene functional expression profilesReverse engineering and identification in systems biology: strategies, perspectives and challengesStability of similarity measurements for bipartite networksSystems Biology Approach to Model the Life Cycle of Trypanosoma cruziSpatial analysis of expression patterns predicts genetic interactions at the mid-hindbrain boundaryIterative reconstruction of transcriptional regulatory networks: an algorithmic approachReverse engineering time discrete finite dynamical systems: a feasible undertaking?Identifying biological network structure, predicting network behavior, and classifying network state with High Dimensional Model Representation (HDMR)Associations between HIV and human pathways revealed by protein-protein interactions and correlated gene expression profilesPerturbation biology: inferring signaling networks in cellular systemsComparative study of three commonly used continuous deterministic methods for modeling gene regulation networksHarnessing naturally randomized transcription to infer regulatory relationships among genesIn silico screening of protein-protein interactions with all-to-all rigid docking and clustering: an application to pathway analysis.Assessing the gain of biological data integration in gene networks inferenceAn effective method for network module extraction from microarray dataToP: a trend-of-disease-progression procedure works well for identifying cancer genes from multi-state cohort gene expression data for human colorectal cancer.Estimating coarse gene network structure from large-scale gene perturbation data.Bayesian network prior: network analysis of biological data using external knowledge.hARACNe: improving the accuracy of regulatory model reverse engineering via higher-order data processing inequality tests.Pattern identification and classification in gene expression data using an autoassociative neural network model.Network completion for static gene expression data.Data identification for improving gene network inference using computational algebra.Reconciling gene expression data with known genome-scale regulatory network structuresReverse Engineering of Genome-wide Gene Regulatory Networks from Gene Expression DataComputational strategies for analyzing data in gene expression microarray experiments.Reconstructing genetic networks from time ordered gene expression data using Bayesian method with global search algorithm.Mining the key regulatory genes of chicken inosine 5'-monophosphate metabolism based on time series microarray dataMSL: A Measure to Evaluate Three-dimensional Patterns in Gene Expression Data.
P2860
Q21142656-E71D257E-9204-484E-B3DB-3B887C191D0CQ21145373-42384611-8B3C-49C2-AD72-106598AED358Q21284229-0A357DD7-9A75-44ED-BD44-8194D9C84116Q21284254-C1AEDE88-A2C7-442B-9731-37565887195AQ21284318-0C9C2CFE-3DDD-4053-90EC-78F886AE89ACQ24791286-E4092E93-1478-4321-87C9-6EE4815F4B9DQ24791723-989A7AC6-E341-451D-9A46-0CEB79D50B39Q24792425-2895C037-FB1C-4C2A-AAB5-69A042B1F92DQ24804371-EE008576-C334-4017-B88D-B6A1A97A24B3Q24809573-90615D32-7F21-4121-A64B-41A7339C049AQ24809619-521E135B-7CE2-46ED-A12D-E2B5C7C5F165Q24810682-9D33A600-F4CB-4C54-B129-EE754BA30091Q24811476-C4358DF3-526C-4A08-AA56-92233AF03294Q27012931-48FA47EA-3846-4B02-81F3-74C5E78D3EC8Q27303015-D57E97D0-EE35-47DC-87FB-45D2B0FCFA3BQ27330520-C316132E-8E55-4BC5-A25B-37B847FE2FBDQ27335171-BEB69416-C817-4BF3-B00C-26C8D709FF93Q28469211-19D4A0B3-AA5A-44A5-9B9C-95E6AE7BB082Q28475061-57B6AF5A-42CB-40B1-A9C5-291146A6835EQ28480501-1D31C019-D0AA-4453-BE66-D4682470E62CQ28481666-381196CB-B8D7-4DE5-8140-368485A3ED0AQ28537769-6D43D432-E372-4814-AEF8-B695EFB969A1Q28749012-5B3F3705-506F-4E86-B9BB-F72E6EC25596Q28755546-2415A8B2-D105-4FD8-9643-8397DA25DD35Q30383514-D1B0549B-5FCD-43DB-AA19-5FFE514E357DQ30576733-1650B37C-E9EE-496A-9636-E424F2B7BBA3Q30586093-26B89BC4-878D-4AFE-9B41-B093759B228DQ30651525-B6FAA277-D1BC-4F27-9C4A-F27719343B30Q30671499-BB4C7CFC-7713-4547-8DD0-D59938E75728Q30692229-9EA59A91-6E7C-4CE2-88BF-218C796F819DQ30753334-8A701CFE-0311-45D8-9805-28E417B587E9Q30759869-B5E347F4-57F2-41E5-8D53-5BB5BEC70D9BQ30820140-70FFC1D1-2683-4B5D-B753-B22B9A15F44AQ30857261-ECD82123-438C-4C2C-A223-265457129D7AQ30882253-3BF8E781-9D23-427E-9A76-1BEE46F058C9Q30943430-FECD32AC-9D0E-4744-9F94-927A1E907D00Q30950304-527A9DBC-16E1-4035-89D4-97B5A02A3F66Q30957841-DC3CDA6F-8834-4C75-8784-D539734E37D4Q30971801-D485BD32-0F5F-47E5-B08B-118C467E241DQ30977611-842AF7E1-37E7-4274-9E1F-4E4E11156D20
P2860
Genetic network inference: from co-expression clustering to reverse engineering.
description
2000 nî lūn-bûn
@nan
2000 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2000 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2000年の論文
@ja
2000年論文
@yue
2000年論文
@zh-hant
2000年論文
@zh-hk
2000年論文
@zh-mo
2000年論文
@zh-tw
2000年论文
@wuu
name
Genetic network inference: from co-expression clustering to reverse engineering.
@ast
Genetic network inference: from co-expression clustering to reverse engineering.
@en
Genetic network inference: from co-expression clustering to reverse engineering.
@nl
type
label
Genetic network inference: from co-expression clustering to reverse engineering.
@ast
Genetic network inference: from co-expression clustering to reverse engineering.
@en
Genetic network inference: from co-expression clustering to reverse engineering.
@nl
prefLabel
Genetic network inference: from co-expression clustering to reverse engineering.
@ast
Genetic network inference: from co-expression clustering to reverse engineering.
@en
Genetic network inference: from co-expression clustering to reverse engineering.
@nl
P2093
P356
P1433
P1476
Genetic network inference: from co-expression clustering to reverse engineering.
@en
P2093
P304
P356
10.1093/BIOINFORMATICS/16.8.707
P407
P577
2000-08-01T00:00:00Z