Mathematical models of gene amplification with applications to cellular drug resistance and tumorigenicity.
about
In silico modelling of treatment-induced tumour cell kill: developments and advancesOptimizing combination therapies with existing and future CML drugsA stochastic model for identifying differential gene pair co-expression patterns in prostate cancer progression.Auto-catalysed progression of aneuploidy explains the Hayflick limit of cultured cells, carcinogen-induced tumours in mice, and the age distribution of human cancerIntratumoral heterogeneity of receptor tyrosine kinases EGFR and PDGFRA amplification in glioblastoma defines subpopulations with distinct growth factor responseThe impact of cell density and mutations in a model of multidrug resistance in solid tumors.Generalized principles of stochasticity can be used to control dynamic heterogeneityOn the probability of random genetic mutations for various types of tumor growth.Long range personalized cancer treatment strategies incorporating evolutionary dynamics.An elementary approach to modeling drug resistance in cancer.Mathematical modeling as a tool for planning anticancer therapy.Mathematical models for translational and clinical oncology.Tumor evolution: Linear, branching, neutral or punctuated?
P2860
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P2860
Mathematical models of gene amplification with applications to cellular drug resistance and tumorigenicity.
description
1990 nî lūn-bûn
@nan
1990年の論文
@ja
1990年論文
@yue
1990年論文
@zh-hant
1990年論文
@zh-hk
1990年論文
@zh-mo
1990年論文
@zh-tw
1990年论文
@wuu
1990年论文
@zh
1990年论文
@zh-cn
name
Mathematical models of gene am ...... resistance and tumorigenicity.
@en
type
label
Mathematical models of gene am ...... resistance and tumorigenicity.
@en
prefLabel
Mathematical models of gene am ...... resistance and tumorigenicity.
@en
P2860
P1433
P1476
Mathematical models of gene am ...... resistance and tumorigenicity.
@en
P2093
P2860
P304
P407
P577
1990-07-01T00:00:00Z