simbiology matlab package Search Results


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MathWorks Inc simbiology package
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Computational techniques for dimensionality reduction and mechanistic understanding of single-cell heterogeneous signaling data
Simbiology Matlab Package, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Computational techniques for dimensionality reduction and mechanistic understanding of single-cell heterogeneous signaling data
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MathWorks Inc simbiology
Computational techniques for dimensionality reduction and mechanistic understanding of single-cell heterogeneous signaling data
Simbiology, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Computational techniques for dimensionality reduction and mechanistic understanding of single-cell heterogeneous signaling data
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Computational techniques for dimensionality reduction and mechanistic understanding of single-cell heterogeneous signaling data
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Computational techniques for dimensionality reduction and mechanistic understanding of single-cell heterogeneous signaling data
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Computational techniques for dimensionality reduction and mechanistic understanding of single-cell heterogeneous signaling data
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Computational techniques for dimensionality reduction and mechanistic understanding of single-cell heterogeneous signaling data
Programme Package Simbiology, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Computational techniques for dimensionality reduction and mechanistic understanding of single-cell heterogeneous signaling data

Journal: Current opinion in systems biology

Article Title: Computational methods for characterizing and learning from heterogeneous cell signaling data

doi: 10.1016/j.coisb.2021.04.009

Figure Lengend Snippet: Computational techniques for dimensionality reduction and mechanistic understanding of single-cell heterogeneous signaling data

Article Snippet: Simbiology MATLAB package, PySB Python package [ 43 ] [ 11 , 16 , 43 , 47 , 48 ] Open in a separate window Computational techniques for dimensionality reduction and mechanistic understanding of single-cell heterogeneous signaling data Another method that can summarize an arbitrarily large number of trajectories is functional principal component analysis (fPCA, ) [ 36 , 37 ]. fPCA decomposes a set of trajectories into two different parts, harmonics and principal component scores.

Techniques: Software, Activity Assay