Noise-driven causal inference in biomolecular networks.

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Predicting human olfactory perception from chemical features of odor molecules Information-theoretic analysis of the directional influence between cellular processes.Reconstructing links in directed networks from noisy dynamics.

P2860

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P2860

Noise-driven causal inference in biomolecular networks.

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http://www.wikidata.org/entity/Q35648504

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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

@zh-hant

2015年論文

@zh-hk

2015年論文

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2015年論文

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2015年论文

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name

Noise-driven causal inference in biomolecular networks.

@ast

Noise-driven causal inference in biomolecular networks.

@en

type

Item

label

Noise-driven causal inference in biomolecular networks.

@ast

Noise-driven causal inference in biomolecular networks.

@en

prefLabel

Noise-driven causal inference in biomolecular networks.

@ast

Noise-driven causal inference in biomolecular networks.

@en

P1476

Noise-driven causal inference in biomolecular networks.

@en

P2093

Grégoire Altan-Bonnet

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

Gustavo Stolovitzky

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

Robert J Prill

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

Robert Vogel

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

P2860

Modeling T cell antigen discrimination based on feedback control of digital ERK responses

Stochastic gene expression in a single cell

Mitogen-activated protein kinase pathways mediated by ERK, JNK, and p38 protein kinases

Causal protein-signaling networks derived from multiparameter single-cell data

Regulatory activity revealed by dynamic correlations in gene expression noise.

Systems biology. Conditional density-based analysis of T cell signaling in single-cell data.

Emergence of bimodal cell population responses from the interplay between analog single-cell signaling and protein expression noise.

Noise propagation in gene networks.

Digital signaling and hysteresis characterize ras activation in lymphoid cells.

Division of labor by dual feedback regulators controls JAK2/STAT5 signaling over broad ligand range.

P304

e0125777

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P31

scholarly article

P356

10.1371/JOURNAL.PONE.0125777

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P407

English

P433

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

P478

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

P50

Guillermo A. Cecchi

P577

2015-06-01T00:00:00Z

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P5875

277903331

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P698

26030907

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P932

4452541

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Noise-driven causal inference in biomolecular networks.

about

P2860

P2860

Noise-driven causal inference in biomolecular networks.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P5875

P698

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P5875

P698

P932