self-organizing map toolbox Search Results


self-organizing map toolbox matlab package  (MathWorks Inc)
90
MathWorks Inc self-organizing map toolbox matlab package
Self Organizing Map Toolbox 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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som toolbox  (MathWorks Inc)
90
MathWorks Inc som toolbox
Som Toolbox, 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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som matlab toolbox  (MathWorks Inc)
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MathWorks Inc som matlab toolbox
Som Matlab Toolbox, 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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neural network toolbox  (MathWorks Inc)
90
MathWorks Inc neural network toolbox
Evaluation and quantification of plant water status during desiccation and recovery of Haberlea rhodopen sis. (A) Drying and recovery of different plants (upper left, Control plants; upper right 120 h of desiccation; lower left, 192 h of desiccation; lower right 36 h of recovery). (B) Box plots of changes in water content during desiccation (blue) and recovery (green). (C) Self organizing map <t>(SOM)</t> visualization of the classified samples according to the four pre-defined neurons for desiccation and recovery. The positions of the scores (leaf samples) derived after Principal Component <t>Analysis</t> <t>(PCA)</t> transformation are clustered in different colors with the neurons according to their weights defined with the two weight vectors, for desiccation (left) and for recovery (right), respectively.
Neural Network Toolbox, 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/neural network toolbox/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
neural network toolbox - by Bioz Stars, 2026-04
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self organizing maps (som; from the neural network toolbox, matlab r2009b)  (MathWorks Inc)
90
MathWorks Inc self organizing maps (som; from the neural network toolbox, matlab r2009b)
Evaluation and quantification of plant water status during desiccation and recovery of Haberlea rhodopen sis. (A) Drying and recovery of different plants (upper left, Control plants; upper right 120 h of desiccation; lower left, 192 h of desiccation; lower right 36 h of recovery). (B) Box plots of changes in water content during desiccation (blue) and recovery (green). (C) Self organizing map <t>(SOM)</t> visualization of the classified samples according to the four pre-defined neurons for desiccation and recovery. The positions of the scores (leaf samples) derived after Principal Component <t>Analysis</t> <t>(PCA)</t> transformation are clustered in different colors with the neurons according to their weights defined with the two weight vectors, for desiccation (left) and for recovery (right), respectively.
Self Organizing Maps (Som; From The Neural Network Toolbox, Matlab R2009b), 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/self organizing maps (som; from the neural network toolbox, matlab r2009b)/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
self organizing maps (som; from the neural network toolbox, matlab r2009b) - by Bioz Stars, 2026-04
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's neural network toolbox  (MathWorks Inc)
90
MathWorks Inc 's neural network toolbox
Evaluation and quantification of plant water status during desiccation and recovery of Haberlea rhodopen sis. (A) Drying and recovery of different plants (upper left, Control plants; upper right 120 h of desiccation; lower left, 192 h of desiccation; lower right 36 h of recovery). (B) Box plots of changes in water content during desiccation (blue) and recovery (green). (C) Self organizing map <t>(SOM)</t> visualization of the classified samples according to the four pre-defined neurons for desiccation and recovery. The positions of the scores (leaf samples) derived after Principal Component <t>Analysis</t> <t>(PCA)</t> transformation are clustered in different colors with the neurons according to their weights defined with the two weight vectors, for desiccation (left) and for recovery (right), respectively.
's Neural Network Toolbox, 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/'s neural network toolbox/product/MathWorks Inc
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's neural network toolbox - by Bioz Stars, 2026-04
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selforganizing map toolbox 2 0  (MathWorks Inc)
96
MathWorks Inc selforganizing map toolbox 2 0
Evaluation and quantification of plant water status during desiccation and recovery of Haberlea rhodopen sis. (A) Drying and recovery of different plants (upper left, Control plants; upper right 120 h of desiccation; lower left, 192 h of desiccation; lower right 36 h of recovery). (B) Box plots of changes in water content during desiccation (blue) and recovery (green). (C) Self organizing map <t>(SOM)</t> visualization of the classified samples according to the four pre-defined neurons for desiccation and recovery. The positions of the scores (leaf samples) derived after Principal Component <t>Analysis</t> <t>(PCA)</t> transformation are clustered in different colors with the neurons according to their weights defined with the two weight vectors, for desiccation (left) and for recovery (right), respectively.
Selforganizing Map Toolbox 2 0, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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kohonen's self organizing map (som) approach  (MathWorks Inc)
93
MathWorks Inc kohonen's self organizing map (som) approach
Evaluation and quantification of plant water status during desiccation and recovery of Haberlea rhodopen sis. (A) Drying and recovery of different plants (upper left, Control plants; upper right 120 h of desiccation; lower left, 192 h of desiccation; lower right 36 h of recovery). (B) Box plots of changes in water content during desiccation (blue) and recovery (green). (C) Self organizing map <t>(SOM)</t> visualization of the classified samples according to the four pre-defined neurons for desiccation and recovery. The positions of the scores (leaf samples) derived after Principal Component <t>Analysis</t> <t>(PCA)</t> transformation are clustered in different colors with the neurons according to their weights defined with the two weight vectors, for desiccation (left) and for recovery (right), respectively.
Kohonen's Self Organizing Map (Som) Approach, 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
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self-organizing maps toolbox  (MathWorks Inc)
90
MathWorks Inc self-organizing maps toolbox
Evaluation and quantification of plant water status during desiccation and recovery of Haberlea rhodopen sis. (A) Drying and recovery of different plants (upper left, Control plants; upper right 120 h of desiccation; lower left, 192 h of desiccation; lower right 36 h of recovery). (B) Box plots of changes in water content during desiccation (blue) and recovery (green). (C) Self organizing map <t>(SOM)</t> visualization of the classified samples according to the four pre-defined neurons for desiccation and recovery. The positions of the scores (leaf samples) derived after Principal Component <t>Analysis</t> <t>(PCA)</t> transformation are clustered in different colors with the neurons according to their weights defined with the two weight vectors, for desiccation (left) and for recovery (right), respectively.
Self Organizing Maps Toolbox, 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/self-organizing maps toolbox/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
self-organizing maps toolbox - by Bioz Stars, 2026-04
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ssofm toolbox  (MathWorks Inc)
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MathWorks Inc ssofm toolbox
Evaluation and quantification of plant water status during desiccation and recovery of Haberlea rhodopen sis. (A) Drying and recovery of different plants (upper left, Control plants; upper right 120 h of desiccation; lower left, 192 h of desiccation; lower right 36 h of recovery). (B) Box plots of changes in water content during desiccation (blue) and recovery (green). (C) Self organizing map <t>(SOM)</t> visualization of the classified samples according to the four pre-defined neurons for desiccation and recovery. The positions of the scores (leaf samples) derived after Principal Component <t>Analysis</t> <t>(PCA)</t> transformation are clustered in different colors with the neurons according to their weights defined with the two weight vectors, for desiccation (left) and for recovery (right), respectively.
Ssofm Toolbox, 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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self-organizing map algorithm som toolbox version 2 for  (MathWorks Inc)
90
MathWorks Inc self-organizing map algorithm som toolbox version 2 for
Evaluation and quantification of plant water status during desiccation and recovery of Haberlea rhodopen sis. (A) Drying and recovery of different plants (upper left, Control plants; upper right 120 h of desiccation; lower left, 192 h of desiccation; lower right 36 h of recovery). (B) Box plots of changes in water content during desiccation (blue) and recovery (green). (C) Self organizing map <t>(SOM)</t> visualization of the classified samples according to the four pre-defined neurons for desiccation and recovery. The positions of the scores (leaf samples) derived after Principal Component <t>Analysis</t> <t>(PCA)</t> transformation are clustered in different colors with the neurons according to their weights defined with the two weight vectors, for desiccation (left) and for recovery (right), respectively.
Self Organizing Map Algorithm Som Toolbox Version 2 For, 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/self-organizing map algorithm som toolbox version 2 for/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
self-organizing map algorithm som toolbox version 2 for - by Bioz Stars, 2026-04
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Image Search Results


Evaluation and quantification of plant water status during desiccation and recovery of Haberlea rhodopen sis. (A) Drying and recovery of different plants (upper left, Control plants; upper right 120 h of desiccation; lower left, 192 h of desiccation; lower right 36 h of recovery). (B) Box plots of changes in water content during desiccation (blue) and recovery (green). (C) Self organizing map (SOM) visualization of the classified samples according to the four pre-defined neurons for desiccation and recovery. The positions of the scores (leaf samples) derived after Principal Component Analysis (PCA) transformation are clustered in different colors with the neurons according to their weights defined with the two weight vectors, for desiccation (left) and for recovery (right), respectively.

Journal: Frontiers in Plant Science

Article Title: In vivo spectroscopy and NMR metabolite fingerprinting approaches to connect the dynamics of photosynthetic and metabolic phenotypes in resurrection plant Haberlea rhodopensis during desiccation and recovery

doi: 10.3389/fpls.2015.00564

Figure Lengend Snippet: Evaluation and quantification of plant water status during desiccation and recovery of Haberlea rhodopen sis. (A) Drying and recovery of different plants (upper left, Control plants; upper right 120 h of desiccation; lower left, 192 h of desiccation; lower right 36 h of recovery). (B) Box plots of changes in water content during desiccation (blue) and recovery (green). (C) Self organizing map (SOM) visualization of the classified samples according to the four pre-defined neurons for desiccation and recovery. The positions of the scores (leaf samples) derived after Principal Component Analysis (PCA) transformation are clustered in different colors with the neurons according to their weights defined with the two weight vectors, for desiccation (left) and for recovery (right), respectively.

Article Snippet: To classify the stress states according to the similarity of JIP parameters, we clustered the scores from the first tree components of PCA under a typical self organizing map (SOM) scheme (neural network toolbox MatLab).

Techniques: Control, Derivative Assay, Transformation Assay