Wang > gene | BibSonomy

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1DGCA: a comprehensive R package for differential gene correlation analysis
A. McKenzie, I. Katsyv, W. Song, M. Wang, and B. Zhang. BMC systems biology, 10 (1): 106 (2016)
4 years ago by @becker
show all tags
disruption
gene
citedby:scholar:count:55
correlation
paper:cordis
citedby:scholar:timestamp:2020-8-2
analysis
differential
paper:fastcor
dgca
disruptiongenecitedby:scholar:count:55correlationpaper:cordiscitedby:scholar:timestamp:2020-8-2analysisdifferentialpaper:fastcordgca
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1Gene prediction using multinomial probit regression with Bayesian gene selection
X. Zhou, X. Wang, and E. Dougherty. EURASIP Journal on Applied Signal Processing, (January 2004)
8 years ago by @yourwelcome
show all tags
genetic
gene
Bayesian
networks,
probit
microarray,
regression
regulatory
selection,
multinomial
geneticgeneBayesiannetworks,probitmicroarray,regressionregulatoryselection,multinomial
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1Genome sequencing of pediatric medulloblastoma links catastrophic DNA rearrangements with TP53 mutations.
T. Rausch, D. Jones, M. Zapatka, A. Stütz, T. Zichner, J. Weischenfeldt, N. Jäger, M. Remke, D. Shih, P. Northcott and 41 other author(s). Cell, 148 (1-2): 59--71 (January 2012)
10 years ago by @bbrors
show all tags
Humans;
Mutational
Leukemia,
Chromosome
physiopathology;
Li-Fraumeni
p53,
Middle
Protein
Aged;
Rearrangement;
Mice;
Copy
Analysis;
Animals;
DNA
Animal;
genetics;
Models,
Variations;
Child;
Brain
Disease
Medulloblastoma,
Neoplasms,
Syndrome,
genetics
Aberrations;
Acute,
Gene
Number
Suppressor
Tumor
Myeloid,
Humans;MutationalLeukemia,Chromosomephysiopathology;Li-Fraumenip53,MiddleProteinAged;Rearrangement;Mice;CopyAnalysis;Animals;DNAAnimal;genetics;Models,Variations;Child;BrainDiseaseMedulloblastoma,Neoplasms,Syndrome,geneticsAberrations;Acute,GeneNumberSuppressorTumorMyeloid,
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1The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models.
L. Shi, G. Campbell, W. Jones, F. Campagne, Z. Wen, S. Walker, Z. Su, T. Chu, F. Goodsaid, L. Pusztai and 193 other author(s). Nat Biotechnol, 28 (8): 827--838 (August 2010)
10 years ago by @bbrors
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Humans;
Analysis,
Sequence
Topic;
diagnosis/genetics;
Survival
Diseases,
Myeloma,
Array
as
Analysis
Female;
diagnosis/genetics/mortality;
Predictive
Animals;
Breast
Value
Expression
Animal;
Models,
Multiple
Profiling,
Neuroblastoma,
Disease
Liver
Lung
Tests;
Neoplasms,
Guidelines
methods/standards;
Control;
Gene
of
Quality
etiology/genetics/pathology;
Oligonucleotide
Rats;
Humans;Analysis,SequenceTopic;diagnosis/genetics;SurvivalDiseases,Myeloma,ArrayasAnalysisFemale;diagnosis/genetics/mortality;PredictiveAnimals;BreastValueExpressionAnimal;Models,MultipleProfiling,Neuroblastoma,DiseaseLiverLungTests;Neoplasms,Guidelinesmethods/standards;Control;GeneofQualityetiology/genetics/pathology;OligonucleotideRats;
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1Accurate outcome prediction in neuroblastoma across independent data sets using a multigene signature.
K. De Preter, J. Vermeulen, B. Brors, O. Delattre, A. Eggert, M. Fischer, I. Janoueix-Lerosey, C. Lavarino, J. Maris, J. Mora and 10 other author(s). Clin Cancer Res, 16 (5): 1532--1541 (March 2010)
10 years ago by @bbrors
show all tags
Markers,
Prognosis;
Child;
Humans;
Neuroblastoma,
Expression;
genetics/mortality;
Kaplan-Meier
Biological,
Sequence
Profiling;
genetics
Array
Estimate;
Gene
Analysis;
Tumor
Expression
Oligonucleotide
Markers,Prognosis;Child;Humans;Neuroblastoma,Expression;genetics/mortality;Kaplan-MeierBiological,SequenceProfiling;geneticsArrayEstimate;GeneAnalysis;TumorExpressionOligonucleotide
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1A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification.
A. Statnikov, L. Wang, and C. Aliferis. BMC Bioinformatics, (2008)
14 years ago by @smolav
show all tags
gene
random-forest
cancer
machine-learning
svm
micro-array
classification
generandom-forestcancermachine-learningsvmmicro-arrayclassification
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1A constitutively active mutant beta 2-adrenergic receptor is constitutively desensitized and phosphorylated
G. Pei, P. Samama, M. Lohse, M. Wang, J. Codina, and R. Lefkowitz. Proc Natl Acad Sci U S A, 91 (7): 2699-702 (March 1994)Pei, G Samama, P Lohse, M Wang, M Codina, J Lefkowitz, R J HL16037/HL/NHLBI NIH HHS/United States Research Support, U.S. Gov't, P.H.S. United states Proceedings of the National Academy of Sciences of the United States of America Proc Natl Acad Sci U S A. 1994 Mar 29;91(7):2699-702..
14 years ago by @pharmawuerz
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Cricetinae
Radioligand
Data
Sequence
Animals
Receptor
beta-2/drug
effects/genetics/*metabolism
beta-Agonists
Regulation
Transduction
Phosphohydrolases/analysis
Expression
Isoproterenol/pharmacology
Acid
GTP
Phosphorylation
CHO
Adrenergic
Proteins/metabolism
Assay
*Signal
Molecular
Dose-Response
Gene
Amino
Relationship,
Recombinant
Cell
*Mutation
Drug
CricetinaeRadioligandDataSequenceAnimalsReceptorbeta-2/drugeffects/genetics/*metabolismbeta-AgonistsRegulationTransductionPhosphohydrolases/analysisExpressionIsoproterenol/pharmacologyAcidGTPPhosphorylationCHOAdrenergicProteins/metabolismAssay*SignalMolecularDose-ResponseGeneAminoRelationship,RecombinantCell*MutationDrug
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1Angiogenesis induced by hVEGF165 gene controlled by hypoxic response elements in rabbit ischemia myocardium
H. Dong, Q. Wang, Y. Zhang, B. Jiang, X. Xu, and Z. Zhang. Exp.Biol.Med.(Maywood.), 234 (12): 1417-1424 (2009)
15 years ago by @kanefendt
show all tags
Antigens
Rabbits
CD31
Human
Vessels
therapy
Vascular
blood
Actins
Dependovirus
1
Response
Animals
response
Regulation
Transduction
Expression
Myocardium
A
Therapy
pathology
Heart
Growth
Humans
Immunohistochemistry
Hypoxia-Inducible
Genetic
Research
Subunit
Elements
Blood
Physiologic
genetics
biosynthesis
alpha
Gene
Ischemia
Factor
Myocardial
protein
Endothelial
Neovascularization
AntigensRabbitsCD31HumanVesselstherapyVascularbloodActinsDependovirus1ResponseAnimalsresponseRegulationTransductionExpressionMyocardiumATherapypathologyHeartGrowthHumansImmunohistochemistryHypoxia-InducibleGeneticResearchSubunitElementsBloodPhysiologicgeneticsbiosynthesisalphaGeneIschemiaFactorMyocardialproteinEndothelialNeovascularization
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1The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models.
M. Hucka, A. Finney, H. Sauro, H. Bolouri, J. Doyle, H. Kitano, A. Arkin, B. Bornstein, D. Bray, A. Cornish-Bowden and 34 other author(s). Bioinformatics, 19 (4): 524--531 (March 2003)
16 years ago by @hake
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Retrieval;
Chemical;
Software;
Management
Support,
Factual;
Storage
Terminology;
Biological;
Hypermedia;
Expression
Models,
Vocabulary,
Software
Controlled
Documentation;
Gov't;
Programming
Research
Information
Databases,
Languages;
Gene
Systems;
Non-U.S.
Metabolism;
and
Regulation;
Database
Design;
Retrieval;Chemical;Software;ManagementSupport,Factual;StorageTerminology;Biological;Hypermedia;ExpressionModels,Vocabulary,SoftwareControlledDocumentation;Gov't;ProgrammingResearchInformationDatabases,Languages;GeneSystems;Non-U.S.Metabolism;andRegulation;DatabaseDesign;
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1Imaging microdomain Ca$^2+$ in muscle cells.
S. Wang, C. Wei, G. Zhao, D. Brochet, J. Shen, L. Song, W. Wang, D. Yang, and H. Cheng. Circ. Res., 94 (8): 1011--1022 (April 2004)
16 years ago by @hake
show all tags
Calcium,
Vascular,
Ion
Plants,
L-Type,
Araceae,
Transport,
Humans,
Hamsters,
Chelating
Techniques,
Gating,
Carcinoma,
Expression
Profiling,
Ryanodine
Animals,
Calcium
Agents,
Tumor,
CHO
Regulation,
Neoplastic,
Research
Rhizome,
Cells,
Abstract,
Muscle,
U.S.
Confocal,
Smooth
Cell
Release
RNA,
Patch-Clamp
Egtazic
Channel
Smooth,
Channels,
Support,
Acid,
Rats,
English
Medicinal,
Reticulum,
P.H.S.,
Receptor
Hepatocellular,
Line,
Chinese
Microscopy,
Rabbits,
Herbal,
Signaling,
Myocytes,
Mitochondria,
Liver
15117829
Neoplasm,
Sarcoplasmic
Gov't,
Neoplasms,
Gene
Cardiac,
Channel,
Non-U.S.
Drugs,
Heart,
Calcium,Vascular,IonPlants,L-Type,Araceae,Transport,Humans,Hamsters,ChelatingTechniques,Gating,Carcinoma,ExpressionProfiling,RyanodineAnimals,CalciumAgents,Tumor,CHORegulation,Neoplastic,ResearchRhizome,Cells,Abstract,Muscle,U.S.Confocal,SmoothCellReleaseRNA,Patch-ClampEgtazicChannelSmooth,Channels,Support,Acid,Rats,EnglishMedicinal,Reticulum,P.H.S.,ReceptorHepatocellular,Line,ChineseMicroscopy,Rabbits,Herbal,Signaling,Myocytes,Mitochondria,Liver15117829Neoplasm,SarcoplasmicGov't,Neoplasms,GeneCardiac,Channel,Non-U.S.Drugs,Heart,
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1Ca$^2+$ signalling between single L-type Ca$^2+$ channels and ryanodine receptors in heart cells.
S. Wang, L. Song, E. Lakatta, and H. Cheng. Nature, 410 (6828): 592--596 (March 2001)
16 years ago by @hake
show all tags
Output,
Anoxia,
Failure,
Pacing,
Cardiac
Biological,
Replacement
Stimulation,
Test,
DNA
80
Estrogens,
Therapy,
Animals,
Brachial
Caspases,
Female,
Aorta,
Aging,
Blood
Dose-Response
Vessels,
Angiography,
Coronary
Relationship,
Graft
Compliance,
Aged,
Barium,
Method,
Biological
Potentials,
Elasticity,
Flow
Digoxin,
Arteries,
Congestive,
Apoptosis,
Diseases,
Adult,
Tolerance,
Cations,
Divalent,
Fatty
Disease,
Acids,
Femoral
Models,
Signaling,
Genome,
Heart
Clocks,
Expression,
Gene
Drug,
Exercise
Advanced,
Common,
Dyes,
Heart,
Adrenergic,
Artificial,
Calcium,
Cardiomegaly,
Drosophila
Products,
Electric
Animal,
Drinking,
Doppler,
Fragmentation,
Disease
Calcium
over,
Separation,
Artery,
Factors,
Fluorescent
melanogaster,
Cell
Bufanolides,
Pressure,
Channels,
Eating,
Glycosylation
Echocardiography,
Carotid
Forecasting,
End
Dietary,
Action
Cardiovascular
Estrogen
Velocity,
Double-Blind
and
Rate,
Occlusion,
Age
Conductivity,
Drug
Output,Anoxia,Failure,Pacing,CardiacBiological,ReplacementStimulation,Test,DNA80Estrogens,Therapy,Animals,BrachialCaspases,Female,Aorta,Aging,BloodDose-ResponseVessels,Angiography,CoronaryRelationship,GraftCompliance,Aged,Barium,Method,BiologicalPotentials,Elasticity,FlowDigoxin,Arteries,Congestive,Apoptosis,Diseases,Adult,Tolerance,Cations,Divalent,FattyDisease,Acids,FemoralModels,Signaling,Genome,HeartClocks,Expression,GeneDrug,ExerciseAdvanced,Common,Dyes,Heart,Adrenergic,Artificial,Calcium,Cardiomegaly,DrosophilaProducts,ElectricAnimal,Drinking,Doppler,Fragmentation,DiseaseCalciumover,Separation,Artery,Factors,Fluorescentmelanogaster,CellBufanolides,Pressure,Channels,Eating,GlycosylationEchocardiography,CarotidForecasting,EndDietary,ActionCardiovascularEstrogenVelocity,Double-BlindandRate,Occlusion,AgeConductivity,Drug
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1QSAR study of 1,4-dihydropyridine calcium channel antagonists based on gene expression programming
H. Si, T. Wang, K. Zhang, Z. Hu, and B. Fan. Bioorganic & Medicinal Chemistry, 14 (14): 4834--4841 (15 July 2006)
17 years ago by @brazovayeye
show all tags
antagonists
genetic
Programming,
algorithms,
Calcium
QSAR,
Gene
programming,
channel
Expression
antagonistsgeneticProgramming,algorithms,CalciumQSAR,Geneprogramming,channelExpression
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2On the Relevance of Using Gene Expression Programming in Destination-Based Traffic Engineering
A. Bagula, and H. Wang. Computational Intelligence and Security, volume 3801 of Lecture Notes in Computer Science, page 224--229. (2005)
17 years ago by @brazovayeye
show all tags
genetic
algorithms,
Gene
programming,
Programming
Expression
geneticalgorithms,Geneprogramming,ProgrammingExpression
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1A robust hybrid between genetic algorithm and support vector machine for extracting an optimal feature gene subset
L. Li, W. Jiang, X. Li, K. Moser, Z. Guo, L. Du, Q. Wang, E. Topol, Q. Wang, and S. Rao. Genomics, 85 (1): 16--23 (January 2005)
17 years ago by @brazovayeye
show all tags
genetic
algorithms,
machine,
gene
Support
programming,
DNA
selection,
vector
Microarray
Feature
geneticalgorithms,machine,geneSupportprogramming,DNAselection,vectorMicroarrayFeature
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2Implicit Fitness Sharing Speciation and Emergent Diversity in Tree Classifier Ensembles.
K. Brazier, G. Richards, and W. Wang. Intelligent Data Engineering and Automated Learning - IDEAL 2004, 5th International Conference, Proceedings, volume 3177 of Lecture Notes in Computer Science, page 333--338. Exeter, UK, Springer, (August 2004)
17 years ago by @brazovayeye
show all tags
genetic
algorithms,
gene
programming,
expression
programming
geneticalgorithms,geneprogramming,expressionprogramming
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2A Preliminary Study on Constructing Decision Tree with Gene Expression Programming
W. Wang, Q. Li, S. Han, and H. Lin. First International Conference on Innovative Computing, Information and Control (ICICIC 2006), page 222--225. Beijing, China, IEEE Computer Society, (30 August - 1 September 2006)
17 years ago by @brazovayeye
show all tags
genetic
algorithms,
Gene
programming,
Programming
Expression
geneticalgorithms,Geneprogramming,ProgrammingExpression
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1Construction of genomic networks using mutual-information clustering and reversible-jump Markov-chain-Monte-Carlo predictor design
X. Zhou, X. Wang, and E. Dougherty. Signal Processing, 83 (4): 745--761 (April 2003)
17 years ago by @smicha
show all tags
microarray
Gene
microarrayGene
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publications (hide)17 displayallpublications onlypublications per page5102050100 sort byadded attitleauthorpublication dateentry typehelp for advanced sorting... RSSBibTeXRDFmore...

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publications (hide)17
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10
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