matlabs state space model (ssm) tool Search Results


irootlab toolbox for matlab r2013b  (MathWorks Inc)
96
MathWorks Inc irootlab toolbox for matlab r2013b
Irootlab Toolbox For Matlab R2013b, 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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ranksum  (MathWorks Inc)
90
MathWorks Inc ranksum
The y-axis of matrix shows the atom type index ( i = 30 protein atom types shown in ) and the x-axis shows the j index for the 32 A i,j features, where j = 1,31 represents the 31 interacting atom types shown in and the 32 nd feature reflects the local geometry of the protein surface. The matrix element ( j,i ) shows the Mann-Whitney U-test p-value in color-code for the two groups of A i,j : one group of A i,j was calculated for the attribute type j around the surface atom type i in the known PPI sites on proteins in the S432 dataset and the other group was calculated for the same attribute type around the non-PPI site atom type i in the same dataset. The p-values were calculated with the Mann-Whitney U-test implemented as the function <t>ranksum</t> in <t>MATLAB.</t> Two sets of data were input to the function and the output p-value is the probability for the two distributions of data to be statistically indistinguishable. The plus(+) sign in the matrix element indicates that the averaged feature value for the PPI site atoms is larger than the averaged feature value for the non-PPI site atoms and the negative(−) is the opposite. The panel on the right-hand-side of the matrix shows the distributions of protein surface atoms in PPI sites (blue) and non-PPI protein surfaces (red) against protein atom type. The data were derived from proteins in S432.
Ranksum, 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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matlab simulink based model  (MathWorks Inc)
96
MathWorks Inc matlab simulink based model
The y-axis of matrix shows the atom type index ( i = 30 protein atom types shown in ) and the x-axis shows the j index for the 32 A i,j features, where j = 1,31 represents the 31 interacting atom types shown in and the 32 nd feature reflects the local geometry of the protein surface. The matrix element ( j,i ) shows the Mann-Whitney U-test p-value in color-code for the two groups of A i,j : one group of A i,j was calculated for the attribute type j around the surface atom type i in the known PPI sites on proteins in the S432 dataset and the other group was calculated for the same attribute type around the non-PPI site atom type i in the same dataset. The p-values were calculated with the Mann-Whitney U-test implemented as the function <t>ranksum</t> in <t>MATLAB.</t> Two sets of data were input to the function and the output p-value is the probability for the two distributions of data to be statistically indistinguishable. The plus(+) sign in the matrix element indicates that the averaged feature value for the PPI site atoms is larger than the averaged feature value for the non-PPI site atoms and the negative(−) is the opposite. The panel on the right-hand-side of the matrix shows the distributions of protein surface atoms in PPI sites (blue) and non-PPI protein surfaces (red) against protein atom type. The data were derived from proteins in S432.
Matlab Simulink Based Model, 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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model predictive control toolbox  (MathWorks Inc)
95
MathWorks Inc model predictive control toolbox
The y-axis of matrix shows the atom type index ( i = 30 protein atom types shown in ) and the x-axis shows the j index for the 32 A i,j features, where j = 1,31 represents the 31 interacting atom types shown in and the 32 nd feature reflects the local geometry of the protein surface. The matrix element ( j,i ) shows the Mann-Whitney U-test p-value in color-code for the two groups of A i,j : one group of A i,j was calculated for the attribute type j around the surface atom type i in the known PPI sites on proteins in the S432 dataset and the other group was calculated for the same attribute type around the non-PPI site atom type i in the same dataset. The p-values were calculated with the Mann-Whitney U-test implemented as the function <t>ranksum</t> in <t>MATLAB.</t> Two sets of data were input to the function and the output p-value is the probability for the two distributions of data to be statistically indistinguishable. The plus(+) sign in the matrix element indicates that the averaged feature value for the PPI site atoms is larger than the averaged feature value for the non-PPI site atoms and the negative(−) is the opposite. The panel on the right-hand-side of the matrix shows the distributions of protein surface atoms in PPI sites (blue) and non-PPI protein surfaces (red) against protein atom type. The data were derived from proteins in S432.
Model Predictive Control Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab r2015a  (MathWorks Inc)
90
MathWorks Inc matlab r2015a
The y-axis of matrix shows the atom type index ( i = 30 protein atom types shown in ) and the x-axis shows the j index for the 32 A i,j features, where j = 1,31 represents the 31 interacting atom types shown in and the 32 nd feature reflects the local geometry of the protein surface. The matrix element ( j,i ) shows the Mann-Whitney U-test p-value in color-code for the two groups of A i,j : one group of A i,j was calculated for the attribute type j around the surface atom type i in the known PPI sites on proteins in the S432 dataset and the other group was calculated for the same attribute type around the non-PPI site atom type i in the same dataset. The p-values were calculated with the Mann-Whitney U-test implemented as the function <t>ranksum</t> in <t>MATLAB.</t> Two sets of data were input to the function and the output p-value is the probability for the two distributions of data to be statistically indistinguishable. The plus(+) sign in the matrix element indicates that the averaged feature value for the PPI site atoms is larger than the averaged feature value for the non-PPI site atoms and the negative(−) is the opposite. The panel on the right-hand-side of the matrix shows the distributions of protein surface atoms in PPI sites (blue) and non-PPI protein surfaces (red) against protein atom type. The data were derived from proteins in S432.
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
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linear mixed-effects model r2019a  (MathWorks Inc)
93
MathWorks Inc linear mixed-effects model r2019a
The y-axis of matrix shows the atom type index ( i = 30 protein atom types shown in ) and the x-axis shows the j index for the 32 A i,j features, where j = 1,31 represents the 31 interacting atom types shown in and the 32 nd feature reflects the local geometry of the protein surface. The matrix element ( j,i ) shows the Mann-Whitney U-test p-value in color-code for the two groups of A i,j : one group of A i,j was calculated for the attribute type j around the surface atom type i in the known PPI sites on proteins in the S432 dataset and the other group was calculated for the same attribute type around the non-PPI site atom type i in the same dataset. The p-values were calculated with the Mann-Whitney U-test implemented as the function <t>ranksum</t> in <t>MATLAB.</t> Two sets of data were input to the function and the output p-value is the probability for the two distributions of data to be statistically indistinguishable. The plus(+) sign in the matrix element indicates that the averaged feature value for the PPI site atoms is larger than the averaged feature value for the non-PPI site atoms and the negative(−) is the opposite. The panel on the right-hand-side of the matrix shows the distributions of protein surface atoms in PPI sites (blue) and non-PPI protein surfaces (red) against protein atom type. The data were derived from proteins in S432.
Linear Mixed Effects Model R2019a, 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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state-space model identification (smi) matlab toolbox  (MathWorks Inc)
90
MathWorks Inc state-space model identification (smi) matlab toolbox
The y-axis of matrix shows the atom type index ( i = 30 protein atom types shown in ) and the x-axis shows the j index for the 32 A i,j features, where j = 1,31 represents the 31 interacting atom types shown in and the 32 nd feature reflects the local geometry of the protein surface. The matrix element ( j,i ) shows the Mann-Whitney U-test p-value in color-code for the two groups of A i,j : one group of A i,j was calculated for the attribute type j around the surface atom type i in the known PPI sites on proteins in the S432 dataset and the other group was calculated for the same attribute type around the non-PPI site atom type i in the same dataset. The p-values were calculated with the Mann-Whitney U-test implemented as the function <t>ranksum</t> in <t>MATLAB.</t> Two sets of data were input to the function and the output p-value is the probability for the two distributions of data to be statistically indistinguishable. The plus(+) sign in the matrix element indicates that the averaged feature value for the PPI site atoms is larger than the averaged feature value for the non-PPI site atoms and the negative(−) is the opposite. The panel on the right-hand-side of the matrix shows the distributions of protein surface atoms in PPI sites (blue) and non-PPI protein surfaces (red) against protein atom type. The data were derived from proteins in S432.
State Space Model Identification (Smi) 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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2018a  (MathWorks Inc)
90
MathWorks Inc 2018a
The y-axis of matrix shows the atom type index ( i = 30 protein atom types shown in ) and the x-axis shows the j index for the 32 A i,j features, where j = 1,31 represents the 31 interacting atom types shown in and the 32 nd feature reflects the local geometry of the protein surface. The matrix element ( j,i ) shows the Mann-Whitney U-test p-value in color-code for the two groups of A i,j : one group of A i,j was calculated for the attribute type j around the surface atom type i in the known PPI sites on proteins in the S432 dataset and the other group was calculated for the same attribute type around the non-PPI site atom type i in the same dataset. The p-values were calculated with the Mann-Whitney U-test implemented as the function <t>ranksum</t> in <t>MATLAB.</t> Two sets of data were input to the function and the output p-value is the probability for the two distributions of data to be statistically indistinguishable. The plus(+) sign in the matrix element indicates that the averaged feature value for the PPI site atoms is larger than the averaged feature value for the non-PPI site atoms and the negative(−) is the opposite. The panel on the right-hand-side of the matrix shows the distributions of protein surface atoms in PPI sites (blue) and non-PPI protein surfaces (red) against protein atom type. The data were derived from proteins in S432.
2018a, 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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matlab control system toolbox  (MathWorks Inc)
96
MathWorks Inc matlab control system toolbox
The y-axis of matrix shows the atom type index ( i = 30 protein atom types shown in ) and the x-axis shows the j index for the 32 A i,j features, where j = 1,31 represents the 31 interacting atom types shown in and the 32 nd feature reflects the local geometry of the protein surface. The matrix element ( j,i ) shows the Mann-Whitney U-test p-value in color-code for the two groups of A i,j : one group of A i,j was calculated for the attribute type j around the surface atom type i in the known PPI sites on proteins in the S432 dataset and the other group was calculated for the same attribute type around the non-PPI site atom type i in the same dataset. The p-values were calculated with the Mann-Whitney U-test implemented as the function <t>ranksum</t> in <t>MATLAB.</t> Two sets of data were input to the function and the output p-value is the probability for the two distributions of data to be statistically indistinguishable. The plus(+) sign in the matrix element indicates that the averaged feature value for the PPI site atoms is larger than the averaged feature value for the non-PPI site atoms and the negative(−) is the opposite. The panel on the right-hand-side of the matrix shows the distributions of protein surface atoms in PPI sites (blue) and non-PPI protein surfaces (red) against protein atom type. The data were derived from proteins in S432.
Matlab Control System Toolbox, 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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surfstat software for  (MathWorks Inc)
90
MathWorks Inc surfstat software for
The y-axis of matrix shows the atom type index ( i = 30 protein atom types shown in ) and the x-axis shows the j index for the 32 A i,j features, where j = 1,31 represents the 31 interacting atom types shown in and the 32 nd feature reflects the local geometry of the protein surface. The matrix element ( j,i ) shows the Mann-Whitney U-test p-value in color-code for the two groups of A i,j : one group of A i,j was calculated for the attribute type j around the surface atom type i in the known PPI sites on proteins in the S432 dataset and the other group was calculated for the same attribute type around the non-PPI site atom type i in the same dataset. The p-values were calculated with the Mann-Whitney U-test implemented as the function <t>ranksum</t> in <t>MATLAB.</t> Two sets of data were input to the function and the output p-value is the probability for the two distributions of data to be statistically indistinguishable. The plus(+) sign in the matrix element indicates that the averaged feature value for the PPI site atoms is larger than the averaged feature value for the non-PPI site atoms and the negative(−) is the opposite. The panel on the right-hand-side of the matrix shows the distributions of protein surface atoms in PPI sites (blue) and non-PPI protein surfaces (red) against protein atom type. The data were derived from proteins in S432.
Surfstat Software 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
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matlab r2021b  (MathWorks Inc)
90
MathWorks Inc matlab r2021b
The y-axis of matrix shows the atom type index ( i = 30 protein atom types shown in ) and the x-axis shows the j index for the 32 A i,j features, where j = 1,31 represents the 31 interacting atom types shown in and the 32 nd feature reflects the local geometry of the protein surface. The matrix element ( j,i ) shows the Mann-Whitney U-test p-value in color-code for the two groups of A i,j : one group of A i,j was calculated for the attribute type j around the surface atom type i in the known PPI sites on proteins in the S432 dataset and the other group was calculated for the same attribute type around the non-PPI site atom type i in the same dataset. The p-values were calculated with the Mann-Whitney U-test implemented as the function <t>ranksum</t> in <t>MATLAB.</t> Two sets of data were input to the function and the output p-value is the probability for the two distributions of data to be statistically indistinguishable. The plus(+) sign in the matrix element indicates that the averaged feature value for the PPI site atoms is larger than the averaged feature value for the non-PPI site atoms and the negative(−) is the opposite. The panel on the right-hand-side of the matrix shows the distributions of protein surface atoms in PPI sites (blue) and non-PPI protein surfaces (red) against protein atom type. The data were derived from proteins in S432.
Matlab R2021b, 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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control systems toolboxtm state space model class ss  (MathWorks Inc)
96
MathWorks Inc control systems toolboxtm state space model class ss
Figure 2. ssf class inherits from MATLAB® Control Systems <t>ToolboxTM</t> ss. Its methods allow model conversion and typical functions.
Control Systems Toolboxtm State Space Model Class Ss, 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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Image Search Results


The y-axis of matrix shows the atom type index ( i = 30 protein atom types shown in ) and the x-axis shows the j index for the 32 A i,j features, where j = 1,31 represents the 31 interacting atom types shown in and the 32 nd feature reflects the local geometry of the protein surface. The matrix element ( j,i ) shows the Mann-Whitney U-test p-value in color-code for the two groups of A i,j : one group of A i,j was calculated for the attribute type j around the surface atom type i in the known PPI sites on proteins in the S432 dataset and the other group was calculated for the same attribute type around the non-PPI site atom type i in the same dataset. The p-values were calculated with the Mann-Whitney U-test implemented as the function ranksum in MATLAB. Two sets of data were input to the function and the output p-value is the probability for the two distributions of data to be statistically indistinguishable. The plus(+) sign in the matrix element indicates that the averaged feature value for the PPI site atoms is larger than the averaged feature value for the non-PPI site atoms and the negative(−) is the opposite. The panel on the right-hand-side of the matrix shows the distributions of protein surface atoms in PPI sites (blue) and non-PPI protein surfaces (red) against protein atom type. The data were derived from proteins in S432.

Journal: PLoS ONE

Article Title: Protein-Protein Interaction Site Predictions with Three-Dimensional Probability Distributions of Interacting Atoms on Protein Surfaces

doi: 10.1371/journal.pone.0037706

Figure Lengend Snippet: The y-axis of matrix shows the atom type index ( i = 30 protein atom types shown in ) and the x-axis shows the j index for the 32 A i,j features, where j = 1,31 represents the 31 interacting atom types shown in and the 32 nd feature reflects the local geometry of the protein surface. The matrix element ( j,i ) shows the Mann-Whitney U-test p-value in color-code for the two groups of A i,j : one group of A i,j was calculated for the attribute type j around the surface atom type i in the known PPI sites on proteins in the S432 dataset and the other group was calculated for the same attribute type around the non-PPI site atom type i in the same dataset. The p-values were calculated with the Mann-Whitney U-test implemented as the function ranksum in MATLAB. Two sets of data were input to the function and the output p-value is the probability for the two distributions of data to be statistically indistinguishable. The plus(+) sign in the matrix element indicates that the averaged feature value for the PPI site atoms is larger than the averaged feature value for the non-PPI site atoms and the negative(−) is the opposite. The panel on the right-hand-side of the matrix shows the distributions of protein surface atoms in PPI sites (blue) and non-PPI protein surfaces (red) against protein atom type. The data were derived from proteins in S432.

Article Snippet: The Mann-Whitney U-tests were carried out with the statistic tool ranksum in MATLAB ( http://www.mathworks.com/help/toolbox/stats/ranksum.html ).

Techniques: MANN-WHITNEY, Derivative Assay

Figure 2. ssf class inherits from MATLAB® Control Systems ToolboxTM ss. Its methods allow model conversion and typical functions.

Journal: Electronics

Article Title: Practical Applications of Diffusive Realization of Fractional Integrator with SoftFrac

doi: 10.3390/electronics10151767

Figure Lengend Snippet: Figure 2. ssf class inherits from MATLAB® Control Systems ToolboxTM ss. Its methods allow model conversion and typical functions.

Article Snippet: State-space fractional model class (ssf) inherits from the MATLAB® Control Systems ToolboxTM state-space model class (ss) and has all functionality of this class.

Techniques: Control