numpy 1.3 (Enthought Inc)
90
Structured Review
Enthought Inc
numpy 1.3
Numpy 1.3, supplied by Enthought Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/numpy/numpy+1+3/pm20434726-73-8-17
Average 90 stars, based on 1 article reviews
Numpy 1.3, supplied by Enthought Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/numpy/numpy+1+3/pm20434726-73-8-17
Average 90 stars, based on 1 article reviews
numpy 1.3 - by Bioz Stars,
2026-11
90/100 stars
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other:Article Title: Generalized n-dimensional biomechanical field analysis using statistical parametric mapping. Article Snippet: the continuum.. It has been shown that, in certain situations, such schemes can compromise the spatiotemporal integrity of the original fields.. An alternative methodology called statistical parametric mapping (SPM), designed specifically for continuous field analysis, constructs statistical images that lie in the original, biomechanically meaningful sampling space. Article Title: One-dimensional statistical parametric mapping in Python. Article Snippet: Statistical parametric mapping (SPM) is a topological methodology for detecting field changes in smooth n-dimensional continua.. Many classes of biomechanical data are smooth and contained within discrete bounds and as such are well suited to SPM analyses.. The current paper accompanies release of ‘SPM1D’, a free and open-source Python package for conducting SPM analyses on a set of registered 1D curves. |