pls toolbox v.8.0 Search Results


pls toolbox v8.0.2  (Eigenvector Research Inc)
90
Eigenvector Research Inc pls toolbox v8.0.2
Scores and loading plots of the PLS-DA models to differentiate between the infarct and the remote areas in magnetic resonance microscopy images of acute and chronic MI samples. Axes correspond to latent variables that explain more than 50% of data variability. Both the acute ( a ) and chronic ( b ) models were able to discriminate between the infarct (red points) and the remote (blue) areas. The merged PLS-DA model for chronic MI permitted an excellent differentiation between remote and infarcted tissue. Abbreviations: LV = latent variable; MI = myocardial infarction; PLS-DA = <t>partial</t> <t>least</t> <t>squares</t> discriminant analysis; SD = standard deviation; T1 = longitudinal relaxation; T2 = transversal relaxation; T2* = effective transversal relaxation.
Pls Toolbox V8.0.2, supplied by Eigenvector Research 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/result/pls toolbox v8.0.2/product/Eigenvector Research Inc
Average 90 stars, based on 1 article reviews
pls toolbox v8.0.2 - by Bioz Stars, 2026-03
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pls-toolbox v. 8.0.2  (Eigenvector Research Inc)
90
Eigenvector Research Inc pls-toolbox v. 8.0.2
Scores and loading plots of the PLS-DA models to differentiate between the infarct and the remote areas in magnetic resonance microscopy images of acute and chronic MI samples. Axes correspond to latent variables that explain more than 50% of data variability. Both the acute ( a ) and chronic ( b ) models were able to discriminate between the infarct (red points) and the remote (blue) areas. The merged PLS-DA model for chronic MI permitted an excellent differentiation between remote and infarcted tissue. Abbreviations: LV = latent variable; MI = myocardial infarction; PLS-DA = <t>partial</t> <t>least</t> <t>squares</t> discriminant analysis; SD = standard deviation; T1 = longitudinal relaxation; T2 = transversal relaxation; T2* = effective transversal relaxation.
Pls Toolbox V. 8.0.2, supplied by Eigenvector Research 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/result/pls-toolbox v. 8.0.2/product/Eigenvector Research Inc
Average 90 stars, based on 1 article reviews
pls-toolbox v. 8.0.2 - by Bioz Stars, 2026-03
90/100 stars
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pls toolbox  (MathWorks Inc)
93
MathWorks Inc pls toolbox
Scores and loading plots of the PLS-DA models to differentiate between the infarct and the remote areas in magnetic resonance microscopy images of acute and chronic MI samples. Axes correspond to latent variables that explain more than 50% of data variability. Both the acute ( a ) and chronic ( b ) models were able to discriminate between the infarct (red points) and the remote (blue) areas. The merged PLS-DA model for chronic MI permitted an excellent differentiation between remote and infarcted tissue. Abbreviations: LV = latent variable; MI = myocardial infarction; PLS-DA = <t>partial</t> <t>least</t> <t>squares</t> discriminant analysis; SD = standard deviation; T1 = longitudinal relaxation; T2 = transversal relaxation; T2* = effective transversal relaxation.
Pls Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/pls toolbox/product/MathWorks Inc
Average 93 stars, based on 1 article reviews
pls toolbox - by Bioz Stars, 2026-03
93/100 stars
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matlab software v.8.0  (MathWorks Inc)
90
MathWorks Inc matlab software v.8.0
Scores and loading plots of the PLS-DA models to differentiate between the infarct and the remote areas in magnetic resonance microscopy images of acute and chronic MI samples. Axes correspond to latent variables that explain more than 50% of data variability. Both the acute ( a ) and chronic ( b ) models were able to discriminate between the infarct (red points) and the remote (blue) areas. The merged PLS-DA model for chronic MI permitted an excellent differentiation between remote and infarcted tissue. Abbreviations: LV = latent variable; MI = myocardial infarction; PLS-DA = <t>partial</t> <t>least</t> <t>squares</t> discriminant analysis; SD = standard deviation; T1 = longitudinal relaxation; T2 = transversal relaxation; T2* = effective transversal relaxation.
Matlab Software V.8.0, 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
https://www.bioz.com/result/matlab software v.8.0/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab software v.8.0 - by Bioz Stars, 2026-03
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matlab r2014b  (MathWorks Inc)
90
MathWorks Inc matlab r2014b
Scores and loading plots of the PLS-DA models to differentiate between the infarct and the remote areas in magnetic resonance microscopy images of acute and chronic MI samples. Axes correspond to latent variables that explain more than 50% of data variability. Both the acute ( a ) and chronic ( b ) models were able to discriminate between the infarct (red points) and the remote (blue) areas. The merged PLS-DA model for chronic MI permitted an excellent differentiation between remote and infarcted tissue. Abbreviations: LV = latent variable; MI = myocardial infarction; PLS-DA = <t>partial</t> <t>least</t> <t>squares</t> discriminant analysis; SD = standard deviation; T1 = longitudinal relaxation; T2 = transversal relaxation; T2* = effective transversal relaxation.
Matlab R2014b, 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
https://www.bioz.com/result/matlab r2014b/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab r2014b - by Bioz Stars, 2026-03
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matlab r2015a  (MathWorks Inc)
90
MathWorks Inc matlab r2015a
Scores and loading plots of the PLS-DA models to differentiate between the infarct and the remote areas in magnetic resonance microscopy images of acute and chronic MI samples. Axes correspond to latent variables that explain more than 50% of data variability. Both the acute ( a ) and chronic ( b ) models were able to discriminate between the infarct (red points) and the remote (blue) areas. The merged PLS-DA model for chronic MI permitted an excellent differentiation between remote and infarcted tissue. Abbreviations: LV = latent variable; MI = myocardial infarction; PLS-DA = <t>partial</t> <t>least</t> <t>squares</t> discriminant analysis; SD = standard deviation; T1 = longitudinal relaxation; T2 = transversal relaxation; T2* = effective transversal relaxation.
Matlab R2015a, 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
https://www.bioz.com/result/matlab r2015a/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab r2015a - by Bioz Stars, 2026-03
90/100 stars
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software v.8.0.0.783 r2012b  (MathWorks Inc)
90
MathWorks Inc software v.8.0.0.783 r2012b
Scores and loading plots of the PLS-DA models to differentiate between the infarct and the remote areas in magnetic resonance microscopy images of acute and chronic MI samples. Axes correspond to latent variables that explain more than 50% of data variability. Both the acute ( a ) and chronic ( b ) models were able to discriminate between the infarct (red points) and the remote (blue) areas. The merged PLS-DA model for chronic MI permitted an excellent differentiation between remote and infarcted tissue. Abbreviations: LV = latent variable; MI = myocardial infarction; PLS-DA = <t>partial</t> <t>least</t> <t>squares</t> discriminant analysis; SD = standard deviation; T1 = longitudinal relaxation; T2 = transversal relaxation; T2* = effective transversal relaxation.
Software V.8.0.0.783 R2012b, 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
https://www.bioz.com/result/software v.8.0.0.783 r2012b/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
software v.8.0.0.783 r2012b - by Bioz Stars, 2026-03
90/100 stars
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prism v.6  (GraphPad Software Inc)
90
GraphPad Software Inc prism v.6
Scores and loading plots of the PLS-DA models to differentiate between the infarct and the remote areas in magnetic resonance microscopy images of acute and chronic MI samples. Axes correspond to latent variables that explain more than 50% of data variability. Both the acute ( a ) and chronic ( b ) models were able to discriminate between the infarct (red points) and the remote (blue) areas. The merged PLS-DA model for chronic MI permitted an excellent differentiation between remote and infarcted tissue. Abbreviations: LV = latent variable; MI = myocardial infarction; PLS-DA = <t>partial</t> <t>least</t> <t>squares</t> discriminant analysis; SD = standard deviation; T1 = longitudinal relaxation; T2 = transversal relaxation; T2* = effective transversal relaxation.
Prism V.6, supplied by GraphPad Software 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/result/prism v.6/product/GraphPad Software Inc
Average 90 stars, based on 1 article reviews
prism v.6 - by Bioz Stars, 2026-03
90/100 stars
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whittaker filter (λ=200 1)  (Eigenvector Research Inc)
90
Eigenvector Research Inc whittaker filter (λ=200 1)
Scores and loading plots of the PLS-DA models to differentiate between the infarct and the remote areas in magnetic resonance microscopy images of acute and chronic MI samples. Axes correspond to latent variables that explain more than 50% of data variability. Both the acute ( a ) and chronic ( b ) models were able to discriminate between the infarct (red points) and the remote (blue) areas. The merged PLS-DA model for chronic MI permitted an excellent differentiation between remote and infarcted tissue. Abbreviations: LV = latent variable; MI = myocardial infarction; PLS-DA = <t>partial</t> <t>least</t> <t>squares</t> discriminant analysis; SD = standard deviation; T1 = longitudinal relaxation; T2 = transversal relaxation; T2* = effective transversal relaxation.
Whittaker Filter (λ=200 1), supplied by Eigenvector Research 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/result/whittaker filter (λ=200 1)/product/Eigenvector Research Inc
Average 90 stars, based on 1 article reviews
whittaker filter (λ=200 1) - by Bioz Stars, 2026-03
90/100 stars
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Image Search Results


Scores and loading plots of the PLS-DA models to differentiate between the infarct and the remote areas in magnetic resonance microscopy images of acute and chronic MI samples. Axes correspond to latent variables that explain more than 50% of data variability. Both the acute ( a ) and chronic ( b ) models were able to discriminate between the infarct (red points) and the remote (blue) areas. The merged PLS-DA model for chronic MI permitted an excellent differentiation between remote and infarcted tissue. Abbreviations: LV = latent variable; MI = myocardial infarction; PLS-DA = partial least squares discriminant analysis; SD = standard deviation; T1 = longitudinal relaxation; T2 = transversal relaxation; T2* = effective transversal relaxation.

Journal: Scientific Reports

Article Title: Magnetic resonance microscopy and correlative histopathology of the infarcted heart

doi: 10.1038/s41598-019-56436-5

Figure Lengend Snippet: Scores and loading plots of the PLS-DA models to differentiate between the infarct and the remote areas in magnetic resonance microscopy images of acute and chronic MI samples. Axes correspond to latent variables that explain more than 50% of data variability. Both the acute ( a ) and chronic ( b ) models were able to discriminate between the infarct (red points) and the remote (blue) areas. The merged PLS-DA model for chronic MI permitted an excellent differentiation between remote and infarcted tissue. Abbreviations: LV = latent variable; MI = myocardial infarction; PLS-DA = partial least squares discriminant analysis; SD = standard deviation; T1 = longitudinal relaxation; T2 = transversal relaxation; T2* = effective transversal relaxation.

Article Snippet: PLS toolbox v8.0.2 (Eigenvector research, Inc., Manson, WS, USA) was used for this purpose.

Techniques: Microscopy, Standard Deviation

Magnetic resonance microscopy probabilistic maps of myocardial samples obtained from swine infarcted hearts. The probabilistic maps used a red-blue colour code to represent the combined probability (based on the respective PLS-DA models) of the tissue being infarcted (red) or remote (blue). The correlative histopathology is also shown. Remote areas (acute infarction: A,B ; chronic infarction: E,F ) and infarct areas (acute infarction: C,D ; chronic infarction: G,H ) are displayed in the left and right panels respectively. An agarose-hiding mask has been applied to the map to better visualize images. Abbreviations: HE = haematoxylin-eosin; PLS-DA = partial least squares discriminant analysis.

Journal: Scientific Reports

Article Title: Magnetic resonance microscopy and correlative histopathology of the infarcted heart

doi: 10.1038/s41598-019-56436-5

Figure Lengend Snippet: Magnetic resonance microscopy probabilistic maps of myocardial samples obtained from swine infarcted hearts. The probabilistic maps used a red-blue colour code to represent the combined probability (based on the respective PLS-DA models) of the tissue being infarcted (red) or remote (blue). The correlative histopathology is also shown. Remote areas (acute infarction: A,B ; chronic infarction: E,F ) and infarct areas (acute infarction: C,D ; chronic infarction: G,H ) are displayed in the left and right panels respectively. An agarose-hiding mask has been applied to the map to better visualize images. Abbreviations: HE = haematoxylin-eosin; PLS-DA = partial least squares discriminant analysis.

Article Snippet: PLS toolbox v8.0.2 (Eigenvector research, Inc., Manson, WS, USA) was used for this purpose.

Techniques: Microscopy, Histopathology