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Ezaki Glico Co Ltd
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Cortical Dynamics
recurrence period density entropy (rpde) at 20% versus 40% of maximum shoulder-abduction torque Recurrence Period Density Entropy (Rpde) At 20% Versus 40% Of Maximum Shoulder Abduction Torque, supplied by Cortical Dynamics, 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/maximum+entropy/recurrence+period+density+entropy++rpde+/pmc12213125-307-23-4 Average 90 stars, based on 1 article reviews
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Bruker Corporation
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MAXNET Co Ltd
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MAXNET Co Ltd
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MAXNET Co Ltd
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Ezaki Glico Co Ltd
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Helmholtz Zentrum fur Infektionsforschung GmbH
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Philips Healthcare
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Bruker Corporation
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Journal: PeerJ
Article Title: EcoNicheS: enhancing ecological niche modeling, niche overlap and connectivity analysis using the shiny dashboard and R package
doi: 10.7717/peerj.19136
Figure Lengend Snippet: Overview of each module’s analyses, including relevant references and the corresponding R packages used.
Article Snippet: The plataform employs the biomod2 R package, a widely used ecological niche modeling framework that supports 12 correlative algorithms: generalized linear models (GLMs), generalized additive models (GAMs), generalized boosting models (often called boosted regression trees; GBM), classification tree analysis (CTA), artificial neural networks (ANNs), surface range envelopes or BIOCLIM (SRE), flexible discriminant analysis (FDA), multiple adaptive regression splines (MARS), random forest (RF), and
Techniques: Sampling, Generated, Functional Assay
Journal: PeerJ
Article Title: EcoNicheS: enhancing ecological niche modeling, niche overlap and connectivity analysis using the shiny dashboard and R package
doi: 10.7717/peerj.19136
Figure Lengend Snippet: Comparison of analyses performed by different software packages for ecological niche modeling.
Article Snippet: The plataform employs the biomod2 R package, a widely used ecological niche modeling framework that supports 12 correlative algorithms: generalized linear models (GLMs), generalized additive models (GAMs), generalized boosting models (often called boosted regression trees; GBM), classification tree analysis (CTA), artificial neural networks (ANNs), surface range envelopes or BIOCLIM (SRE), flexible discriminant analysis (FDA), multiple adaptive regression splines (MARS), random forest (RF), and
Techniques: Comparison, Software, Selection, Generated, Sampling