Disentangling the Complexity of HGF Signaling by Combining Qualitative and Quantitative Modeling.
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In silico model-based inference: an emerging approach for inverse problems in engineering better medicinesClustering and Network Analysis of Reverse Phase Protein Array Data.Protein abundance of AKT and ERK pathway components governs cell type-specific regulation of proliferation.Computational Modeling in Liver Surgery.
P2860
Disentangling the Complexity of HGF Signaling by Combining Qualitative and Quantitative Modeling.
description
2015 nî lūn-bûn
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2015年の論文
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2015年論文
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2015年論文
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2015年論文
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2015年論文
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2015年論文
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2015年论文
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2015年论文
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2015年论文
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name
Disentangling the Complexity o ...... ive and Quantitative Modeling.
@ast
Disentangling the Complexity o ...... ive and Quantitative Modeling.
@en
type
label
Disentangling the Complexity o ...... ive and Quantitative Modeling.
@ast
Disentangling the Complexity o ...... ive and Quantitative Modeling.
@en
prefLabel
Disentangling the Complexity o ...... ive and Quantitative Modeling.
@ast
Disentangling the Complexity o ...... ive and Quantitative Modeling.
@en
P2093
P2860
P50
P1476
Disentangling the Complexity o ...... ive and Quantitative Modeling.
@en
P2093
Alexandra Kienast
Andreas Raue
Jens Timmer
Katharina Waldow
Lorenza A D'Alessandro
Regina Samaga
Rene Meyer
Sandra Bonefas
Seong-Hwan Rho
P2860
P304
P356
10.1371/JOURNAL.PCBI.1004192
P577
2015-04-23T00:00:00Z