PredCRG - Computational Prediction of Proteins Encoded by Circadian Genes

A computational model for predicting proteins encoded by circadian genes. The support vector machine has been employed with Laplace kernel for prediction of circadian proteins, where compositional, transitional and physico-chemical features were utilized as numeric features. User can predict for the test dataset using the proposed computational model. Besides, the user can also build their own training model using their training dataset, followed by prediction for the test set.

Last updated 4 years ago

1.00 score 176 downloads

EncDNA - Encoding of Nucleotide Sequences into Numeric Feature Vectors

We describe fifteen different splice site sequence encoding schemes that have been used in earlier studies for mapping of splice site sequences into numeric feature vectors. These encoding schemes will also be helpful for transforming other nucleotide sequences into numeric forms, provided they are of equal length. These encoding schemes will help the computational biologist working in the field of classification (binary or multiclass) or prediction involving nucleic acid sequences of equal length.

Last updated 6 years ago

1.00 score 1 stars 146 downloads

corrDNA - Finding Associations in Position-Wise Aligned DNA Sequence Dataset

Can be useful for finding associations among different positions in a position-wise aligned sequence dataset. The approach adopted for finding associations among positions is based on the latent multivariate normal distribution.

Last updated 7 years ago

1.00 score 8 scripts 155 downloads