Integrating network reconstruction with mechanistic modeling to predict cancer therapies.

Integrating network reconstruction with mechanistic modeling to predict cancer therapies.

Item
http://www.wikidata.org/entity/Q38729295
Identification of potential new treatment response markers and therapeutic targets using a Gaussian process-based method in lapatinib insensitive breast cancer models.Next generation of network medicine: interdisciplinary signaling approaches.Lapatinib potentiates cytotoxicity of  YM155 in neuroblastoma via inhibition of the ABCB1 efflux transporterInfrequently expressed miRNAs influence survival after diagnosis with colorectal cancer.Proteomics and phosphoproteomics in precision medicine: applications and challenges.[Mathematical modeling: an essential tool for the study of therapeutic targeting in solid tumors].Comparative Network Reconstruction using mixed integer programmingFitting mathematical models of biochemical pathways to steady state perturbation response data without simulating perturbation experimentsReconstructing phosphorylation signalling networks from quantitative phosphoproteomic data
P2860

Integrating network reconstruction with mechanistic modeling to predict cancer therapies.

Item
http://www.wikidata.org/entity/Q38729295
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Integrating network reconstruction with mechanistic modeling to predict cancer therapies.
@en
type
label
Integrating network reconstruction with mechanistic modeling to predict cancer therapies.
@en
prefLabel
Integrating network reconstruction with mechanistic modeling to predict cancer therapies.
@en
P1433
P1476
P2093
P2860
P304
P31
P356
P433
P478
P50
P577
P698
P356
P1433
P1476
Integrating network reconstruction with mechanistic modeling to predict cancer therapies
@en
P2093
P2860
P304
P31
P356
P433
P478
P50
P577
P698