GeneRank: using search engine technology for the analysis of microarray experiments - Wikidata - wikimedia - TriplyDB

GeneRank: using search engine technology for the analysis of microarray experiments

GeneRank: using search engine technology for the analysis of microarray experiments

http://www.wikidata.org/entity/Q24814214

about

Weighted-SAMGSR: combining significance analysis of microarray-gene set reduction algorithm with pathway topology-based weights to select relevant genes Building disease-specific drug-protein connectivity maps from molecular interaction networks and PubMed abstracts Network integration and graph analysis in mammalian molecular systems biology M-BISON: microarray-based integration of data sources using networks.Network and data integration for biomarker signature discovery via network smoothed T-statistics.Network-based inference framework for identifying cancer genes from gene expression data Inferring the perturbed microRNA regulatory networks from gene expression data using a network propagation based method.Identifying Cancer Subtypes from miRNA-TF-mRNA Regulatory Networks and Expression Data CGI: a new approach for prioritizing genes by combining gene expression and protein-protein interaction data.A novel method incorporating gene ontology information for unsupervised clustering and feature selection.A network-based integrative approach to prioritize reliable hits from multiple genome-wide RNAi screens in Drosophila.Graph ranking for exploratory gene data analysis Knowledge-guided gene ranking by coordinative component analysis.Using pre-existing microarray datasets to increase experimental power: application to insulin resistance.In-silico prediction of blood-secretory human proteins using a ranking algorithm.Recent advances in predicting gene-disease associations Neighborhood rough set reduction-based gene selection and prioritization for gene expression profile analysis and molecular cancer classification.A network-based approach to prioritize results from genome-wide association studies.Reordering based integrative expression profiling for microarray classification Prognostic gene signatures for patient stratification in breast cancer: accuracy, stability and interpretability of gene selection approaches using prior knowledge on protein-protein interactions.Google goes cancer: improving outcome prediction for cancer patients by network-based ranking of marker genes.Integrating gene expression and protein-protein interaction network to prioritize cancer-associated genes.Pathway and network analysis in proteomics Integrative approaches for predicting protein function and prioritizing genes for complex phenotypes using protein interaction networks Network-based biomarkers enhance classical approaches to prognostic gene expression signatures.Microarray enriched gene rank CorSig: a general framework for estimating statistical significance of correlation and its application to gene co-expression analysis.Current composite-feature classification methods do not outperform simple single-genes classifiers in breast cancer prognosis.Network tuned multiple rank aggregation and applications to gene ranking.CANDID: a flexible method for prioritizing candidate genes for complex human traits.OVA: integrating molecular and physical phenotype data from multiple biomedical domain ontologies with variant filtering for enhanced variant prioritization.GPSy: a cross-species gene prioritization system for conserved biological processes--application in male gamete development Prioritization of Susceptibility Genes for Ectopic Pregnancy by Gene Network Analysis.Reverse engineering and analysis of large genome-scale gene networks.Systematic analysis of the molecular mechanism underlying atherosclerosis using a text mining approach Gene prioritization of resistant rice gene against Xanthomas oryzae pv. oryzae by using text mining technologies A network-assisted co-clustering algorithm to discover cancer subtypes based on gene expression It's the machine that matters: Predicting gene function and phenotype from protein networks.A guide to web tools to prioritize candidate genes.Candidate gene prioritization.

P2860

Q27335430-AEA5CC7B-4E05-4F3C-8237-3CD58610C9C8 Q28475789-3BE00225-A35E-4AFE-997D-3EFA1D230233 Q28751567-9997DA87-9718-4353-A1AA-EF2C644E7A73 Q30482057-0BB48E59-C5EE-44E7-92BD-5E5F8E705273 Q30665910-B67FD813-F3F7-4D8C-BE40-C398FA0EF510 Q30670472-580E430C-D08B-4F84-A295-EE9F3D9DD9AE Q30839150-72009027-4004-44C3-8C09-D26422014C9C Q31066480-8703F8B1-554F-41C9-A78C-DA0E7C7AFD96 Q31076352-9E13AACD-4FB9-4675-BCB4-4A05AAD47D18 Q33389178-886CFEAC-A19D-4393-B468-87DECB6C5854 Q33444304-26C481C3-47BB-49D1-B5C9-959CB57DE251 Q33509210-68F62ED0-78BA-40B9-8438-F6980DB021CB Q33547729-B83B99E3-8CA3-4CF5-BF3A-508C3A8F322C Q33548788-A25C59B4-A2C1-4BFD-B689-9F8C0322E3DD Q33577512-38BA0149-0DDC-4F25-95DF-7650DAE03BE2 Q33631987-FD31D8D4-514D-4FD1-8771-8B77BF8DCB71 Q33960955-C66237EF-B046-4B84-82C5-DAB733C20085 Q34018953-5E6BDD32-48DC-4D68-815A-5D6DF79645E5 Q34247740-9A2323A0-99A4-4447-9F79-475F7C6A3AD7 Q34253050-9E730AD9-D89E-412F-9597-477FA6394698 Q34276961-FC8628B6-EDAC-41C1-8098-D167C7CE4E0A Q34354173-F0DA5FB9-D078-4EC1-95C8-FD5D51B9E5DA Q34620460-3D8153FD-062D-4B85-A5CF-062917FBF4A8 Q34736414-61BC9E09-64CD-4A55-AE39-EAFBA77A9380 Q34914017-BC5099A7-CF6E-44D6-98D4-67B5DD5A2533 Q35008782-602F34B1-742B-44D5-A6D1-3DE850382F78 Q35032431-21B1C24B-0B55-4C72-8F23-E8647565824D Q35082280-7D030953-C1F1-49A6-9272-B4E9AF1F8AF9 Q35092945-6E09935F-C952-404C-AF7A-0D6E8A0ACBD7 Q35571604-33F992FD-935A-4A1C-B6E6-7648CF98FC26 Q35745726-543B8857-839C-4001-BB47-302D64181299 Q36088344-87B42708-8471-43AB-BD88-64070D77A994 Q36667048-CE0257B5-D266-4EA1-A603-A454E32F67D9 Q36668797-1D1F83D5-4B87-42CD-92E9-6B14521BD04D Q36960706-CF6A0427-2A93-46A7-8AE9-0AEA23F086B7 Q37383600-7691F5B4-B6C7-4686-86F2-4B94FA7740F9 Q37563126-488955AC-E070-45CF-8433-ABB6A89765E9 Q37773558-3CC1259F-2C0A-4486-A408-F93547077A3E Q37833411-F0686558-0ABA-4F80-A38E-2B652F2CC19F Q38034664-2D491722-599B-4548-8BC8-D8AA715A32B7

P2860

GeneRank: using search engine technology for the analysis of microarray experiments

http://www.wikidata.org/entity/Q24814214

description

2005 nî lūn-bûn

@nan

2005 թուականին հրատարակուած գիտական յօդուած

@hyw

2005 թվականին հրատարակված գիտական հոդված

@hy

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

name

GeneRank: using search engine technology for the analysis of microarray experiments

@ast

GeneRank: using search engine technology for the analysis of microarray experiments

@en

GeneRank: using search engine technology for the analysis of microarray experiments

@nl

type

label

GeneRank: using search engine technology for the analysis of microarray experiments

@ast

GeneRank: using search engine technology for the analysis of microarray experiments

@en

GeneRank: using search engine technology for the analysis of microarray experiments

@nl

prefLabel

GeneRank: using search engine technology for the analysis of microarray experiments

@ast

GeneRank: using search engine technology for the analysis of microarray experiments

@en

GeneRank: using search engine technology for the analysis of microarray experiments

@nl

P1433

Q24814214-76909C3B-0EF4-4059-A761-677CDF9A12C4

P1476

Q24814214-B6697129-4BEB-408B-995B-EBAB62D13692

P2093

Q24814214-71FEB1C4-FF2E-47EF-A511-BC5094FADE6C

Q24814214-924A8049-C2E1-4F09-9876-30E437FFEFF9

Q24814214-FC6C2C79-0C3C-450B-947F-C76673DE140A

P2860

Q24814214-0ACFAF8D-AE67-4784-8E20-CA90D64D3AF0

Q24814214-10D07894-4BB5-4AF2-900D-D594D0F66D8D

Q24814214-15B6C114-C158-4397-A0C6-A52747D42682

Q24814214-1D0C9D58-E228-4CD5-8D85-62A86D2D1EDC

Q24814214-2AB20AA8-2ED1-4AE0-A09B-4F92C036992A

Q24814214-38C24C81-EE73-4336-8B0B-D9788BED0671

Q24814214-80DEFB6D-8D7E-42B3-B44A-905AE9F8697F

Q24814214-C9B0DABA-E86B-4D95-BE38-FDA69AE3B6D6

Q24814214-D740A9FE-8BD4-4E5B-91F7-A28FE46B112F

Q24814214-EC205E1E-77B0-49ED-84EB-4B3DB232BE2C

P2888

Q24814214-404B26D7-3030-4545-A667-91AA8A4BD1EB

P304

Q24814214-62496636-B8F0-43B3-9D34-9829B719BCF8

P31

Q24814214-1D2C8171-6ED5-485D-B5E1-4C13C02EE087

P3181

Q24814214-7A3D9B9E-6BD2-495A-8B8F-78FE60EE2C27

P356

Q24814214-D79A2ED9-8834-4EFB-A683-EDC17CFD7B3F

P407

Q24814214-F07873D3-2483-4D7F-8AC2-F8EE3925A429

P433

Q24814214-71F671A2-0C59-457E-86CB-668D108E7E28

P478

Q24814214-021896A5-7B23-42DA-AB6B-1D208888B382

P50

Q24814214-59262ED7-5507-48C0-B660-C6CF966D73DE

P577

Q24814214-7548B099-A150-4F50-8D41-BA825CCD4435

P5875

Q24814214-DF29958D-4147-481C-80C4-E0E53E17999C

P6179

Q24814214-982757D5-61F0-4338-80C8-FA9715AC12F3

P698

Q24814214-B9E18D12-930C-47C4-868C-911475348FFE

P932

Q24814214-967FA8F4-003E-4723-93CB-05D241106F49

P3181

P356

1471-2105-6-233

P1433

BMC Bioinformatics

P1476

GeneRank: using search engine technology for the analysis of microarray experiments

@en

P2093

David R Gilbert

http://www.w3.org/2001/XMLSchema#string

Desmond J Higham

http://www.w3.org/2001/XMLSchema#string

Julie L Morrison

http://www.w3.org/2001/XMLSchema#string

P2860

Graph-based iterative Group Analysis enhances microarray interpretation

Exploring the metabolic and genetic control of gene expression on a genomic scale

Genomic expression programs in the response of yeast cells to environmental changes

Complex transcriptional circuitry at the G1/S transition in Saccharomyces cerevisiae.

Genome-wide location and function of DNA binding proteins

Genomic binding sites of the yeast cell-cycle transcription factors SBF and MBF

Discovering regulatory and signalling circuits in molecular interaction networks

Protein interaction verification and functional annotation by integrated analysis of genome-scale data.

Making sense of microarray data to classify cancer.

Protein network inference from multiple genomic data: a supervised approach.

P2888

1471-2105-6-233

P304

233

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P3181

1077885

http://www.w3.org/2001/XMLSchema#string

P356

10.1186/1471-2105-6-233

http://www.w3.org/2001/XMLSchema#string

P407

P433

1

http://www.w3.org/2001/XMLSchema#string

P478

6

http://www.w3.org/2001/XMLSchema#string

P50

Rainer Breitling

P577

2005-01-01T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

7586554

http://www.w3.org/2001/XMLSchema#string

P6179

1015650636

http://www.w3.org/2001/XMLSchema#string

P698

16176585

http://www.w3.org/2001/XMLSchema#string

P932

1261158

http://www.w3.org/2001/XMLSchema#string