Reverse engineering a hierarchical regulatory network downstream of oncogenic KRAS. - Wikidata - awgldk - TriplyDB

Reverse engineering a hierarchical regulatory network downstream of oncogenic KRAS.

Reverse engineering a hierarchical regulatory network downstream of oncogenic KRAS.

http://www.wikidata.org/entity/Q36171170

about

Gene regulation, modulation, and their applications in gene expression data analysis Formal Modeling of mTOR Associated Biological Regulatory Network Reveals Novel Therapeutic Strategy for the Treatment of Cancer.Buffered Qualitative Stability explains the robustness and evolvability of transcriptional networks.Integrating Bayesian variable selection with Modular Response Analysis to infer biochemical network topology A multi-scale model of hepcidin promoter regulation reveals factors controlling systemic iron homeostasis.Network quantification of EGFR signaling unveils potential for targeted combination therapy.Hypoxia induces a HIF-1α dependent signaling cascade to make a complex metabolic switch in SGBS-adipocytes.Bridging the layers: towards integration of signal transduction, regulation and metabolism into mathematical models.Consequences of feedback in signal transduction for targeted therapies.Inferring Intracellular Signal Transduction Circuitry from Molecular Perturbation Experiments.An immediate-late gene expression module decodes ERK signal duration Inferring the Effects of Honokiol on the Notch Signaling Pathway in SW480 Colon Cancer Cells.inFRank: a ranking-based identification of influential genes in biological networks.An integrative approach unveils FOSL1 as an oncogene vulnerability in KRAS-driven lung and pancreatic cancer.PLAU inferred from a correlation network is critical for suppressor function of regulatory T cells.Computer-assisted curation of a human regulatory core network from the biological literature.Impact of measurement noise, experimental design, and estimation methods on Modular Response Analysis based network reconstruction Comparative Network Reconstruction using mixed integer programming Reconstructing phosphorylation signalling networks from quantitative phosphoproteomic data

P2860

Q30614377-9D3EF3E3-B583-4AD0-9FD3-C1B4DFA246B9 Q33790320-F0112760-6E45-436B-BE01-A9691EA18448 Q34117004-0EA4CF6F-B462-488E-9D41-D48629317C4A Q34800432-EE427131-E614-4649-9380-15FB9C1F231E Q35082168-02F8C024-2175-4E9C-9738-376562274B4D Q37660498-88FA15DB-FC35-456A-A947-5CE7FC6704EA Q37671425-2BC7B2BB-B8E7-41D3-92BB-9A3EFDF41B35 Q38092646-F45F09A4-2713-499B-B8B4-11E3285DD758 Q38238604-5C03F5A4-B8ED-465F-AFE1-856E19FD7EF3 Q38705548-59AE4264-441F-4A1B-8788-60227B2CD93F Q38806418-BB1133FF-B377-4B65-A25B-1505ABB93C02 Q38940800-F57A1F25-A1D5-46D8-A16B-EEE0477A5FCC Q39396240-DA04C8ED-FDDA-4E53-8EFA-9737F0F47FD7 Q40324354-8B5D1FEC-FAED-4C81-A74A-87F7AFCCE516 Q41900367-E53CB456-22D8-4730-AE0A-54A3D4A19207 Q45955810-A3657416-B186-48A5-8B6C-288E5BADADE2 Q58577913-D2726D46-400D-471D-9239-A5F4A0146D3F Q58757854-FBB56EA8-0869-48A6-AB13-5E0A0E7226BC Q58802584-9CC4DDB9-C91F-4237-AAAA-0636DFD01958

P2860

Reverse engineering a hierarchical regulatory network downstream of oncogenic KRAS.

http://www.wikidata.org/entity/Q36171170

description

2012 nî lūn-bûn

@nan

2012年の論文

@ja

2012年論文

@yue

2012年論文

@zh-hant

2012年論文

@zh-hk

2012年論文

@zh-mo

2012年論文

@zh-tw

2012年论文

@wuu

2012年论文

@zh

2012年论文

@zh-cn

name

Reverse engineering a hierarchical regulatory network downstream of oncogenic KRAS.

@ast

Reverse engineering a hierarchical regulatory network downstream of oncogenic KRAS.

@en

type

label

Reverse engineering a hierarchical regulatory network downstream of oncogenic KRAS.

@ast

Reverse engineering a hierarchical regulatory network downstream of oncogenic KRAS.

@en

prefLabel

Reverse engineering a hierarchical regulatory network downstream of oncogenic KRAS.

@ast

Reverse engineering a hierarchical regulatory network downstream of oncogenic KRAS.

@en

P1433

Q36171170-A67C2302-2425-4671-96AB-F8AB8D3C02B5

P1476

Q36171170-1ECB4AC6-597D-4FDD-9320-E537F10F3DF7

P2093

Q36171170-54100D2F-2F45-4E1C-BF84-BF23A2CA8EEB

Q36171170-C474C4FC-F674-4BAF-8796-9114F3E8F57D

Q36171170-D4DE74E6-452F-4AC7-B967-E3124B09A59F

Q36171170-E27A454E-D6CA-4445-BA8F-819E418DCA01

Q36171170-E3480338-6EA6-44B7-A692-FEFC0E7CABF1

Q36171170-F404E357-CEC6-4ABC-BA6D-9302A659F56D

P2860

Q36171170-0169F1DB-2108-4A67-B3FB-71049FB79D0E

Q36171170-06099612-F76B-44E9-B526-8BE48785E12A

Q36171170-0B87D3A5-5719-4F26-9FDC-BF3EE90601DF

Q36171170-1021FA1E-DDA2-471B-A6D3-4ECE789298DB

Q36171170-11C8CEEE-C8BD-43BB-84FA-3F7A8D1D9D18

Q36171170-264152FD-61BB-4D95-A2EE-37DAE2D2C27E

Q36171170-26DEB104-AC13-489D-A2F7-05E1821BF4F1

Q36171170-27E89D67-5F22-4546-AA51-EADF62DA4752

Q36171170-2F9AC8BF-980F-4166-917D-F2E1CDEB7A68

Q36171170-3354E145-6783-434F-B6CC-08D67486D24D

P304

Q36171170-8343E87B-35AA-4EFC-8792-72CDF9DCD2AB

P31

Q36171170-E81B6F52-0F98-4F60-8DC3-93E290EF4660

P356

Q36171170-20D8F464-2480-4716-9814-280EA84FF792

P478

Q36171170-8309C715-2F31-4573-BC86-362AF72D171A

P50

Q36171170-48B59CBD-2C11-4BDB-A21D-67826F4B2406

Q36171170-49133C3C-4D8D-440E-90A4-5A20413063B9

Q36171170-DB98F7DC-9763-43BF-9AF7-6832B875FE12

P577

Q36171170-3DB1355F-827F-4E9E-89DE-F85F943F18BC

P5875

Q36171170-7C2ACBC8-5DDB-47CF-85C6-68E8626119F3

P698

Q36171170-C9FC18A0-2027-4AF4-80F9-937A4ADAC35D

P932

Q36171170-7E3A7DFD-61E2-442D-BE32-C7AECCFF59CD

P356

P1433

Molecular Systems Biology

P1476

Reverse engineering a hierarchical regulatory network downstream of oncogenic KRAS.

@en

P2093

Christine Sers

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

Franziska Witzel

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

Hanspeter Herzel

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

Iwona Stelniec-Klotz

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

Oleg Tchernitsa

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

Reinhold Schäfer

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

P2860

ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context

A large-scale RNAi screen in human cells identifies new components of the p53 pathway

Significance analysis of microarrays applied to the ionizing radiation response

Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method

Inferring genetic networks and identifying compound mode of action via expression profiling

Distinct roles of Jun : Fos and Jun : ATF dimers in oncogenesis

The Fos family of transcription factors and their role in tumourigenesis

Role of oncoprotein growth factor independent-1 (GFI1) in repression of 25-hydroxyvitamin D 1alpha-hydroxylase (CYP27B1): a comparative analysis in human prostate cancer and kidney cells

Emergent properties of networks of biological signaling pathways

Differential expression of two different homeobox gene families during mouse tegument morphogenesis

P304

601

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

P31

scholarly article

P356

10.1038/MSB.2012.32

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

P478

8

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

P50

Bertram Klinger

P577

2012-01-01T00:00:00Z

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

P5875

230619468

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

P698

22864383

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

P932

3421447

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