Use of data-biased random walks on graphs for the retrieval of context-specific networks from genomic data - Test2 - elhamkhani - TriplyDB

Use of data-biased random walks on graphs for the retrieval of context-specific networks from genomic data

Use of data-biased random walks on graphs for the retrieval of context-specific networks from genomic data

http://www.wikidata.org/entity/Q21145334

about

DART: Denoising Algorithm based on Relevance network Topology improves molecular pathway activity inference Integrative approaches for finding modular structure in biological networks Bioinformatics and systems biology ORegAnno 3.0: a community-driven resource for curated regulatory annotation Host modulators of H1N1 cytopathogenicity β-Catenin is central to DUX4-driven network rewiring in facioscapulohumeral muscular dystrophy.Reconciling differential gene expression data with molecular interaction networks Inferring drug-disease associations from integration of chemical, genomic and phenotype data using network propagation.A protein domain co-occurrence network approach for predicting protein function and inferring species phylogeny.LPRP: A Gene-Gene Interaction Network Construction Algorithm and Its Application in Breast Cancer Data Analysis.Hematogenous metastasis of ovarian cancer: rethinking mode of spread.Pathways on demand: automated reconstruction of human signaling networks 2'-OMe-phosphorodithioate-modified siRNAs show increased loading into the RISC complex and enhanced anti-tumour activity.Integrated proteomic, transcriptomic, and biological network analysis of breast carcinoma reveals molecular features of tumorigenesis and clinical relapse NetWalker: a contextual network analysis tool for functional genomics Structure-based systems biology for analyzing off-target binding Immunotherapy targeting folate receptor induces cell death associated with autophagy in ovarian cancer.Using random walks to identify cancer-associated modules in expression data Increased signaling entropy in cancer requires the scale-free property of protein interaction networks.Integrative network-based approach identifies key genetic elements in breast invasive carcinoma.Directed random walks and constraint programming reveal active pathways in hepatocyte growth factor signaling.Modeling community-wide molecular networks of multicellular systems The glucose-deprivation network counteracts lapatinib-induced toxicity in resistant ErbB2-positive breast cancer cells Reconstruction and signal propagation analysis of the Syk signaling network in breast cancer cells.Differential network entropy reveals cancer system hallmarks.An integrated network platform for contextual prioritization of drugs and pathways A miR-192-EGR1-HOXB9 regulatory network controls the angiogenic switch in cancer.Top-down network analysis to drive bottom-up modeling of physiological processes Community Structure Reveals Biologically Functional Modules in MEF2C Transcriptional Regulatory Network Sexual Dimorphism and Aging in the Human Hyppocampus: Identification, Validation, and Impact of Differentially Expressed Genes by Factorial Microarray and Network Analysis.Tumour angiogenesis regulation by the miR-200 family.Platelet-derived growth factor receptor alpha (PDGFRα) targeting and relevant biomarkers in ovarian carcinoma.Targeting KRas-dependent tumour growth, circulating tumour cells and metastasis in vivo by clinically significant miR-193a-3p Systems biology approaches to finding novel pain mediators.Kinome siRNA-phosphoproteomic screen identifies networks regulating AKT signaling HER2-mTOR signaling-driven breast cancer cells require ER-associated degradation to survive.An approach to infer putative disease-specific mechanisms using neighboring gene networks.A comparative survey of functional footprints of EGFR pathway mutations in human cancers.Combination small molecule MEK and PI3K inhibition enhances uveal melanoma cell death in a mutant GNAQ- and GNA11-dependent manner.Selective DNA methylation in cancers controls collateral damage induced by large structural variations

P2860

Q21284334-3CEF3495-3898-4806-B386-168DF848C9FE Q26824897-40A06EA7-7AE8-4C71-B589-38BD1B094051 Q27005417-386A5F0D-5E53-41CA-A401-448AFE4B097A Q28269966-44EF5864-6D5F-4BA1-BB75-222BC67E960B Q28481798-597994BE-2FB4-4C17-B5FA-8BC79F519BCB Q30394383-9759E61A-31AD-471A-89B2-CE0CECF719A3 Q30585792-52BCF7E4-136A-48C5-93B3-D1782FA3191F Q30763631-98E32C8D-BACC-4F56-97E2-85A628C748A7 Q31004647-F3DC0BDA-5597-4E99-B965-406F835CE17B Q31131478-5B062771-294B-42DC-B21A-EC3F5BC59AA3 Q33908024-B454CC46-FE84-4C8B-909B-FEA4219D7728 Q33917834-29A9034D-56C8-4592-B955-592611093E0F Q33956803-B53C5EEA-645C-4D3A-9EF7-2C89E03174E6 Q34125932-9839F7DA-042B-4B87-9F9A-001D6C57B361 Q34316790-FED1958E-B270-4025-8052-C6A86D2660AC Q34761978-CF7698FE-2818-4614-84DB-BB0D320DBCF9 Q34979610-F25B5F03-34B0-47B8-AF98-A7DDEDFFC1AE Q35017720-F4AAA919-0491-4F7B-894D-71E38C710124 Q35545639-C5750590-964E-4A8F-B076-5AFB3B495547 Q35651869-66FCDA10-AF90-4E81-AD36-7929F51C1D59 Q35827698-EC2C76B0-CDF0-41BD-8957-CA7CF9586340 Q35917642-28063E8F-D9A9-418B-A23E-B52156C22B8B Q36171144-26BB2157-A039-4879-9D43-9D59CDFB9BCE Q36312079-4F541EED-8094-4DB4-BE2B-6A9AC5448986 Q36393280-226F19A4-DB59-42CC-A773-C21E98B4EA25 Q36746321-5253810F-A4EA-483F-BAAE-B4CDDB5638CB Q36768803-4EBB104F-C582-4278-936B-6EB4A4EAFE86 Q36822234-3BC0478A-FEC2-4842-AEC4-4B878847CCE1 Q36930656-3F2D9B68-FC52-4181-BD0B-6483D2FA7B7F Q37310051-239EFC1B-CC4F-407E-AED5-AD94C92D7F05 Q37523569-3ACE799E-E572-464C-8739-D4841F24E67B Q37625369-3CF55E02-11B9-45DC-9123-DDDB9317911C Q37691771-E226F36F-E7DF-48EA-9557-18FA4AD0219C Q38051560-478CAE02-E5AF-44DD-B899-EB34EDDEDCA3 Q38500176-7372C663-CB37-4509-91EF-90FA771A0FAC Q38870753-9EC879B2-F777-483B-A157-969016889EBA Q38960008-543B208E-3AAD-4972-8C07-284BD0A78F89 Q39069318-3AC48F9B-DF37-408D-A976-8D07B4F8521F Q39325158-2B48A3DF-829C-4DA5-8CCE-8EEE27342D2E Q42700953-974E5071-C949-4D33-A9E6-849251225D4D

P2860

Use of data-biased random walks on graphs for the retrieval of context-specific networks from genomic data

http://www.wikidata.org/entity/Q21145334

description

2010 nî lūn-bûn

@nan

2010 թուականին հրատարակուած գիտական յօդուած

@hyw

2010 թվականին հրատարակված գիտական հոդված

@hy

2010年の論文

@ja

2010年論文

@yue

2010年論文

@zh-hant

2010年論文

@zh-hk

2010年論文

@zh-mo

2010年論文

@zh-tw

2010年论文

@wuu

name

Use of data-biased random walk ...... fic networks from genomic data

@ast

Use of data-biased random walk ...... fic networks from genomic data

@en

Use of data-biased random walk ...... fic networks from genomic data

@en-gb

Use of data-biased random walk ...... fic networks from genomic data

@nl

type

label

Use of data-biased random walk ...... fic networks from genomic data

@ast

Use of data-biased random walk ...... fic networks from genomic data

@en

Use of data-biased random walk ...... fic networks from genomic data

@en-gb

Use of data-biased random walk ...... fic networks from genomic data

@nl

prefLabel

Use of data-biased random walk ...... fic networks from genomic data

@ast

Use of data-biased random walk ...... fic networks from genomic data

@en

Use of data-biased random walk ...... fic networks from genomic data

@en-gb

Use of data-biased random walk ...... fic networks from genomic data

@nl

P1433

Q21145334-2A845922-EE12-4D1B-A2ED-06561AAC95BB

P1476

Q21145334-F875466A-3A26-4323-BF28-EF00C37D84D3

P2093

Q21145334-1C5BB691-DCA3-48CC-B1D2-61E447C2BA3D

Q21145334-A96B342C-1098-43A4-89EC-D902A8EE0C55

P2860

Q21145334-04916377-0DEF-418B-A05D-F82382AEA0B0

Q21145334-17152F6A-C62F-461D-B1F3-48E892228C5A

Q21145334-1CB0F218-A25D-4AD8-AF65-B7E5BD6C1BE5

Q21145334-3B6E1D4E-394C-45F4-AFE4-BC04A4FB2484

Q21145334-444B2F5D-E42B-4951-9F54-130AB3E0397E

Q21145334-476B7AA6-E664-40A8-B641-B74F7AA9B497

Q21145334-4C52A5ED-D92D-45DC-8711-311F3D8B92F3

Q21145334-549E4717-88EB-486B-9342-BD11BABF6A3B

Q21145334-7482F97C-21C0-482B-97B2-E5A21DD21927

Q21145334-79C45EB0-870F-4C62-A7DD-6D00F6277AD6

P304

Q21145334-45E93742-9976-427B-B9C3-5B3CF83C38BE

P31

Q21145334-86FBBB6D-A587-4F32-8072-E5B3251932C7

P3181

Q21145334-3EC81FD0-E907-4A75-A75F-71478D19DEBE

P356

Q21145334-F765596D-8A64-468C-AC60-C70586E70A19

P407

Q21145334-08196379-2BF8-4FE3-A033-4BCCD22F1845

P433

Q21145334-75CFFB99-B272-466D-90F1-A506C3EB2455

P478

Q21145334-AF7259AA-EECA-4FBF-A133-A1D7E619F47F

P50

Q21145334-3376E952-C9CB-4C5B-A615-F15F0AAE2B03

P577

Q21145334-6BA1C458-F04D-4EDB-8774-21E7D0B6FA0A

P5875

Q21145334-D7B8B786-B11F-46D9-B9D3-CA8E7BB48163

P698

Q21145334-A17AC41F-4A5C-47C4-9F73-DE36FF7DE3C4

P921

Q21145334-9A0C7696-5C71-4B00-9817-3901C487DFAC

P932

Q21145334-33337EBA-BD16-45DC-843F-0B418E429C07

P3181

P356

JOURNAL.PCBI.1000889

P1433

PLOS Computational Biology

P1476

Use of data-biased random walk ...... fic networks from genomic data

@en

P2093

Kakajan Komurov

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

Michael A White

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

P2860

Gene ontology: tool for the unification of biology

KEGG: kyoto encyclopedia of genes and genomes

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes

ORegAnno: an open-access community-driven resource for regulatory annotation

Entrez Gene: gene-centered information at NCBI

MINT: the Molecular INTeraction database

Human protein reference database--2006 update

p53 regulates mitochondrial respiration

Integration of biological networks and gene expression data using Cytoscape

P304

e1000889

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

P31

scholarly article

P3181

1391597

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

P356

10.1371/JOURNAL.PCBI.1000889

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

P407

P433

8

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

P478

6

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

P50

P577

2010-01-01T00:00:00Z

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

P5875

46108625

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

P698

20808879

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

P921

P932

2924243

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