matlab®based simscape™ language Search Results


matrix-based language  (MathWorks Inc)
90
MathWorks Inc matrix-based language
Matrix Based Language, 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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home-made scripts in  (MathWorks Inc)
90
MathWorks Inc home-made scripts in
Home Made Scripts In, 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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simscape language  (MathWorks Inc)
96
MathWorks Inc simscape language
Simscape Language, 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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ranksum - by Bioz Stars, 2026-03
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matlab r2020a  (MathWorks Inc)
90
MathWorks Inc matlab r2020a
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 R2020a, 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 r2020a - by Bioz Stars, 2026-03
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matrix-based matlab language  (MathWorks Inc)
90
MathWorks Inc matrix-based matlab language
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.
Matrix Based Matlab Language, 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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open-source matlab package  (MathWorks Inc)
90
MathWorks Inc open-source matlab package
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.
Open Source 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
https://www.bioz.com/result/open-source matlab package/product/MathWorks Inc
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open-source matlab package - by Bioz Stars, 2026-03
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matlab®based simscape™ language  (MathWorks Inc)
90
MathWorks Inc matlab®based simscape™ language
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®Based Simscape™ Language, 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®based simscape™ language/product/MathWorks Inc
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matlab®based simscape™ language - by Bioz Stars, 2026-03
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r2018b  (MathWorks Inc)
90
MathWorks Inc r2018b
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.
R2018b, 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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r2018b - by Bioz Stars, 2026-03
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matlab-based textual input language  (MathWorks Inc)
90
MathWorks Inc matlab-based textual input language
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 Based Textual Input Language, 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-based textual input language - by Bioz Stars, 2026-03
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shareware shape language model package slm  (MathWorks Inc)
90
MathWorks Inc shareware shape language model package slm
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.
Shareware Shape Language Model Package Slm, 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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shareware shape language model package slm - by Bioz Stars, 2026-03
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statistics toolbox for  (MathWorks Inc)
93
MathWorks Inc statistics toolbox 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.
Statistics Toolbox For, 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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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