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Using partial least squares regression to analyze cellular response data.

Using partial least squares regression to analyze cellular response data.

http://www.wikidata.org/entity/Q30617646

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Cell-to-cell variability in cell death: can systems biology help us make sense of it all?TNF-insulin crosstalk at the transcription factor GATA6 is revealed by a model that links signaling and transcriptomic data tensors.Hierarchy of cellular decisions in collective behavior: Implications for wound healing.Partial Least Squares Regression Models for the Analysis of Kinase Signaling.Mechanistic modeling quantifies the influence of tumor growth kinetics on the response to anti-angiogenic treatment.GRMDA: Graph Regression for MiRNA-Disease Association Prediction.Population-based mechanistic modeling allows for quantitative predictions of drug responses across cell types.

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Using partial least squares regression to analyze cellular response data.

http://www.wikidata.org/entity/Q30617646

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2013 nî lūn-bûn

@nan

2013 թուականի Ապրիլին հրատարակուած գիտական յօդուած

@hyw

2013 թվականի ապրիլին հրատարակված գիտական հոդված

@hy

2013年の論文

@ja

2013年論文

@yue

2013年論文

@zh-hant

2013年論文

@zh-hk

2013年論文

@zh-mo

2013年論文

@zh-tw

2013年论文

@wuu

name

Using partial least squares regression to analyze cellular response data.

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Using partial least squares regression to analyze cellular response data.

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type

label

Using partial least squares regression to analyze cellular response data.

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Using partial least squares regression to analyze cellular response data.

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prefLabel

Using partial least squares regression to analyze cellular response data.

@ast

Using partial least squares regression to analyze cellular response data.

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Science Signaling

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Using partial least squares regression to analyze cellular response data.

@en

P2860

Collecting and organizing systematic sets of protein data.

Data-driven modelling of signal-transduction networks.

Input-output behavior of ErbB signaling pathways as revealed by a mass action model trained against dynamic data

Networks inferred from biochemical data reveal profound differences in toll-like receptor and inflammatory signaling between normal and transformed hepatocytes.

Introduction to statistical methods to analyze large data sets: principal components analysis.

RAS mutations affect tumor necrosis factor-induced apoptosis in colon carcinoma cells via ERK-modulatory negative and positive feedback circuits along with non-ERK pathway effects

Navigating gene expression using microarrays--a technology review.

Physicochemical modelling of cell signalling pathways.

Capturing cell-fate decisions from the molecular signatures of a receptor-dependent signaling response.

Integration of multiple signaling pathway activities resolves K-RAS/N-RAS mutation paradox in colon epithelial cell response to inflammatory cytokine stimulation.

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