Computational sequence and Structural Studies Ahalyaa S

Computational sequence and Structural Studies

Author: Ahalyaa S
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Book Title
Computational sequence and Structural Studies
Author
Ahalyaa S
ISBN
9781805457916
SVM model developed using single amino acid composition had an accuracy of 87.4% with 86.95% sensitivity and 87.4% specificity. The corresponding area under the curve was 0.95. Table 3.1 and Table 3.2 represents the number of features selected and the respective performance evaluation metrics obtained at various g-gaps for dipeptide and tripeptide respectively. The g-gap model with best accuracy is highlighted in Table 3.1 and Table 3.2. Using g-gap dipeptide compositional features, the overall accuracy of the models was in the range of 82-90% with the maximum accuracy of 90.83% obtained at gap-2. Similarly, for the models developed using g-gap tripeptide compositional features.Binding Type: PaperbackAuthor: Ahalyaa SPublisher: Self PublisherPublished: 12/01/2022ISBN: 9781805457916Pages: 244Weight: 0.73lbsSize: 9.00h x 6.00w x 0.51dLarge Print

SVM model developed using single amino acid composition had an accuracy of 87.4% with 86.95% sensitivity and 87.4% specificity. The corresponding area under the curve was 0.95. Table 3.1 and Table 3.2 represents the number of features selected and the respective performance evaluation metrics obtained at various g-gaps for dipeptide and tripeptide respectively. The g-gap model with best accuracy is highlighted in Table 3.1 and Table 3.2. Using g-gap dipeptide compositional features, the overall accuracy of the models was in the range of 82-90% with the maximum accuracy of 90.83% obtained at gap-2. Similarly, for the models developed using g-gap tripeptide compositional features.



Binding Type: Paperback
Author: Ahalyaa S
Publisher: Self Publisher
Published: 12/01/2022
ISBN: 9781805457916
Pages: 244
Weight: 0.73lbs
Size: 9.00h x 6.00w x 0.51d
Large Print

SVM model developed using single amino acid composition had an accuracy of 87.4% with 86.95% sensitivity and 87.4% specificity. The corresponding area under the curve was 0.95. Table 3.1 and Table 3.2 represents the number of features selected and the respective performance evaluation metrics obtained at various g-gaps for dipeptide and tripeptide respectively. The g-gap model with best accuracy is highlighted in Table 3.1 and Table 3.2. Using g-gap dipeptide compositional features, the overall accuracy of the models was in the range of 82-90% with the maximum accuracy of 90.83% obtained at gap-2. Similarly, for the models developed using g-gap tripeptide compositional features.



Binding Type: Paperback
Author: Ahalyaa S
Publisher: Self Publisher
Published: 12/01/2022
ISBN: 9781805457916
Pages: 244
Weight: 0.73lbs
Size: 9.00h x 6.00w x 0.51d
Large Print