Search
Now showing items 1-5 of 5
DNA Binding Protein Identification Using HMM Profile
(2018-02-06)
DNA-binding proteins play important role in various processes within the cell.Various machine learning classification algorithms and feature extraction techniques have been used to solve this computational problem of ...
Subcellular Localization of Multi-class Proteins Using Label Power-set Encoding
(2018-06-30)
As knowledge is essential in all research or even research initiative. Therefore, biologists always try to know where a protein resides in a cell . They can elucidate the functions of the protein with this revelation. Armed ...
Identification of Bacterial Sigma 70 Promoter Sequences Using Feature Subspace Based Ensemble Classifier
(2018-09-24)
Sigma promoter sequences in bacterial genomes are important due to their role in transcription initiation. Sigma70 is one of the most important and crucial sigma factors. In this paper, we address the problem of identification ...
Identifying Sigma 70 Promoters Using Multiple Windowing and Optimal Features
(2018-09-24)
In bacterial DNA, there are specific sequences of nucleotides called promoters that can bind to the RNA polymerase. Sigma70 (σ 70) is one of the most important promoter sequences due to it’s presence in most of the DNA ...
Prediction of Lysine-Malonylation Sites via Sequential and Physicochemical Features
(2018-10)
Lysine Malonylation is Post Translational Modification responsible for Type2
diabetes, Cancer etc. It is a challenging problem as the data from kmal
studies are highly imbalanced. In this work we propose Hybrid sampling
a ...