Discovering functional relationships between RNA expression and chemotherapeutic susceptibility using relevance networks. - Wikidata - wikimedia - TriplyDB

Discovering functional relationships between RNA expression and chemotherapeutic susceptibility using relevance networks.

Discovering functional relationships between RNA expression and chemotherapeutic susceptibility using relevance networks.

http://www.wikidata.org/entity/Q35399475

about

When is hub gene selection better than standard meta-analysis?Geometric interpretation of gene coexpression network analysis Large-scale mapping and validation of Escherichia coli transcriptional regulation from a compendium of expression profiles Hybridization interactions between probesets in short oligo microarrays lead to spurious correlations Comparison of co-expression measures: mutual information, correlation, and model based indices Estimating genomic coexpression networks using first-order conditional independence DNA microarray data and contextual analysis of correlation graphs Cross-platform comparison and visualisation of gene expression data using co-inertia analysis Searching for differentially expressed gene combinations.Sample phenotype clusters in high-density oligonucleotide microarray data sets are revealed using Isomap, a nonlinear algorithm.Computational Models for Transplant Biomarker Discovery Integrative systems biology approaches in asthma pharmacogenomics Reverse engineering and identification in systems biology: strategies, perspectives and challenges Chemogenomics: an emerging strategy for rapid target and drug discovery Quantitative epistasis analysis and pathway inference from genetic interaction data Cell cycle gene networks are associated with melanoma prognosis Bioenergy grass feedstock: current options and prospects for trait improvement using emerging genetic, genomic, and systems biology toolkits Applications of translational bioinformatics in transplantation Bayesian Correlation Analysis for Sequence Count Data Reverse engineering of regulatory networks in human B cells Pleiotropy, homeostasis, and functional networks based on assays of cardiovascular traits in genetically randomized populations Quantifying the white blood cell transcriptome as an accessible window to the multiorgan transcriptome.Visualising associations between paired 'omics' data sets An effective method for network module extraction from microarray data Recursive partitioning for tumor classification with gene expression microarray data Time-dependent changes in ARE-driven gene expression by use of a noise-filtering process for microarray data.Pattern identification and classification in gene expression data using an autoassociative neural network model.Proteome Profiling Outperforms Transcriptome Profiling for Coexpression Based Gene Function Prediction.Coexpression analysis of human genes across many microarray data sets Comparison of threshold selection methods for microarray gene co-expression matrices.Reverse Engineering of Genome-wide Gene Regulatory Networks from Gene Expression Data Inferring interaction type in gene regulatory networks using co-expression data.Topology-based cancer classification and related pathway mining using microarray data.DTW-MIC Coexpression Networks from Time-Course Data.Pathway and gene-set activation measurement from mRNA expression data: the tissue distribution of human pathways.A comparative evaluation of data-merging and meta-analysis methods for reconstructing gene-gene interactions Validating module network learning algorithms using simulated data From correlation to causation networks: a simple approximate learning algorithm and its application to high-dimensional plant gene expression data.New insights about host response to smallpox using microarray data.Chemical genetics for therapeutic target mining.

P2860

Q21133557-251503B2-5598-4977-87DE-F5855A1E2E6A Q21145373-0C4D27AE-AE4C-48D4-99C1-139F74DFA59E Q21145898-17D401AB-6B4F-4C0A-9DC1-243492140F11 Q21284255-B27FDFA8-715C-4407-82FF-0EB75F6E9153 Q21284318-5678F2C8-074F-42D0-A276-6CBF0B56BE27 Q24791215-FEA4E623-CBE1-4C99-AB74-AAF8EFE5352E Q24799701-92C9B511-886B-4000-9192-BDE1AB77FF0F Q24804635-C5499059-5B11-4A72-8AFF-26B6889AC76F Q24812766-6D6F0F27-1EDD-4E67-8D5E-D059A6211649 Q24815085-36E399FE-3EF4-47F8-838A-6ED7296BF428 Q26781320-017A1054-647C-4B1A-ADEB-6CBDBFBD468B Q26861541-CC670BE7-10E5-42F0-8D72-BF1A75EE748C Q27012931-2006EA12-A63E-4BEC-A2AD-B021C5D1F5DF Q28260664-23FDCAFC-5FD1-4F9E-86AB-F05421626AAD Q28478118-6CD6D632-5E00-4760-9626-D0AD629FB63C Q28482466-E44A1704-F443-40A6-969B-4A956CE9BCA8 Q28710577-39283D75-77DD-43A4-8420-6CAEA886903E Q28716539-56A566A4-F8BD-42BC-B466-969A84F77A72 Q30000081-38BED2F0-D64D-477B-9BEC-78D3EEB3AD90 Q30004211-6E954810-1819-47EB-8175-AD67A101263C Q30501139-6EBD5549-60D9-4DFC-BAEC-142A9361D2BE Q30505781-60DF6318-842F-4C4F-A763-53E290799E0D Q30577327-F997DE39-A2F0-486F-81D3-16F2F19E301F Q30586093-3B182CBB-766C-436F-A80A-740F60EE789F Q30653098-B7513C90-8608-4DF1-B52B-01C7B493D369 Q30695982-6D8DE3D7-5CDA-487E-8685-3A61584A1470 Q30759869-1E92F740-4635-4853-9F69-3F638F8F13C5 Q30834140-D223B82F-59DC-4B86-980B-563FC1BB56AD Q30936126-11854B68-6009-488B-A08A-1133191A508B Q30939477-BBDD4A45-9F29-42AE-829E-C28788955AB2 Q30943430-C72984FD-1BA0-41FA-A0A0-187BA15A505C Q30979399-A491EF76-E962-4A9E-8676-76CD133585AC Q31054943-EB0648EE-E88E-4C3C-AD86-7BE6639AC274 Q31065775-2479A191-9D7B-4C6D-9007-2FF6CA01BB5F Q31067183-121B7F31-29E2-4A97-8C2A-5077B9E92C28 Q31107761-FB5EF849-A06C-4857-84BE-BB6A17981962 Q31112212-73046557-1348-45F9-9828-74F3699E5F9F Q31121019-63192AC8-E7F8-4CE1-BD07-E81AE8C18C56 Q31122570-6B2838E0-901C-4CEA-87B8-084BD5620E9E Q31134606-B6888FB5-B3D4-4ECE-B77B-E9E1C7DB5D88

P2860

Discovering functional relationships between RNA expression and chemotherapeutic susceptibility using relevance networks.

http://www.wikidata.org/entity/Q35399475

description

2000 nî lūn-bûn

@nan

2000 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2000 թվականի հոտեմբերին 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

Discovering functional relatio ...... lity using relevance networks.

@ast

Discovering functional relatio ...... lity using relevance networks.

@en

type

label

Discovering functional relatio ...... lity using relevance networks.

@ast

Discovering functional relatio ...... lity using relevance networks.

@en

prefLabel

Discovering functional relatio ...... lity using relevance networks.

@ast

Discovering functional relatio ...... lity using relevance networks.

@en

P1433

Q35399475-59EA6915-2DF3-4838-B3F5-1857EBEFF659

P1476

Q35399475-A061AECB-B5C2-4D97-A4FD-3F79D54F7EF6

P2093

Q35399475-178FFFA5-4630-4E20-97B3-3B5ED82CB030

Q35399475-776E3EBF-632C-47A9-AEB2-EFD6E72EB031

Q35399475-B1242FFF-1F6F-41EE-87BB-2D9E8F8BE216

Q35399475-D48B80D8-AE77-4F1C-B7B4-C52BB61DD39C

Q35399475-E8B604B5-9264-4140-9CC0-E00146F72DA2

P2860

Q35399475-0EEC7FD8-C794-4793-82E8-637FEDB3591F

Q35399475-106D73BC-C8EB-4600-A787-8B3D18DED353

Q35399475-14FA54D5-1746-4548-8396-DA20C5E616DB

Q35399475-1ADF8B68-2A6F-4EAD-9A75-D2EF6C3C7EEF

Q35399475-261ED3D7-9B48-4930-AFF5-C8F35441AFD4

Q35399475-28C0FE26-4BB4-44EF-BCFA-8A01D3D62E3E

Q35399475-2B828542-CEBF-431D-A5A6-AF3A474AEC92

Q35399475-5986C596-D046-4B3F-8A8E-C441FEE8F0C7

Q35399475-65B4926C-C3EC-468A-B120-D79048D6A757

Q35399475-67751434-0385-4625-AD18-F3B674E040E7

P304

Q35399475-275C2A4F-558F-48B1-BFCA-0037774D2BB8

P31

Q35399475-BFB2AAE4-C4AD-4D33-B124-0291A030FCAD

P356

Q35399475-6487AF14-05F7-4299-B932-63E8E7A83DA5

P407

Q35399475-52F8F237-BAB0-47A2-B8A7-80879B89DDC9

P433

Q35399475-F5EC4999-6DAA-4B7B-8AC6-A55E12B4E46E

P478

Q35399475-5F2F0954-AD70-4C9C-AEDD-B4752561CFC8

P577

Q35399475-8214D8CB-AB76-4D10-8DE7-D7EE043AEA7F

P5875

Q35399475-F9F13C33-AF4B-4FDC-8800-9C62B6033609

P698

Q35399475-C1BBF34A-B29C-4F3D-B116-86C4E78379C7

P921

Q35399475-FF0A687E-1B40-4BD7-ADE4-6DF76A57D4CE

P932

Q35399475-4241010B-EF16-4062-BA10-4FBF346F997D

P356

P1433

Proceedings of the National Academy of Sciences of the United States of America

P1476

Discovering functional relatio ...... lity using relevance networks.

@en

P2093

A J Butte

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

D Slonim

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

I S Kohane

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

P Tamayo

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

T R Golub

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

P2860

Posttranslational regulation of keratins: degradation of mouse and human keratins 18 and 8

Cluster analysis and display of genome-wide expression patterns

Structure, chromosomal localization, and expression of 12 genes of the MAGE family

Human signaling protein 14-3-3zeta interacts with platelet glycoprotein Ib subunits Ibalpha and Ibbeta

The catalog of human cytokeratins: patterns of expression in normal epithelia, tumors and cultured cells

The transcriptional program in the response of human fibroblasts to serum

Discovery and analysis of inflammatory disease-related genes using cDNA microarrays

Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation

Use of a cDNA microarray to analyse gene expression patterns in human cancer

A gene expression database for the molecular pharmacology of cancer

P304

12182-12186

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

P31

scholarly article

P356

10.1073/PNAS.220392197

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

P407

P433

22

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

P478

97

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

P577

2000-10-01T00:00:00Z

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

P5875

12297682

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

P698

11027309

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

P921

P932

17315

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