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Novel Feature Extraction for Predicting Gram-Positive and Gram-Negative Bacteria Protein Sub-cellular Localization
(2017-11-25)
Protein sub-cellular localization is defined as predicting the functioning location of a given protein in the cell. It is considered an important step towards protein function prediction and drug design. In this study, we ...
Feature Selection Method for DNA-Binding Protein Identification
(2017-12-03)
DNA-binding proteins play a very important role in the structural composition of the DNA. In addition to that they regulate and effect various cellular processes like transcription, DNA replication, DNA recombination, ...
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 ...
Question and Accepted Answer Recommendation System with a Generic Knowledge Mining Visualization Tool
(2018-01-31)
With the increasing software developer community, questions answering (QA) sites, such as StackOverflow, Quora, Yahoo Answer etc. have been gaining its popularity. Hence, in recent years, millions of users are posting in ...
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 ...
Machine Learning for Mining Big Data: A Review
(2018-11-24)
Development of Big Data is virtually transforming our lifestyle. It is also accelerating
industrial growth through process optimization, insight discovery
and improved decision making. The massive scale of big data exceeds ...
Novel Class Detection in Concept Drifting Data Streams Using Decision Tree Leaves
(2018-10-24)
Concept drifting data streams often occurs in weather forecasting, intrusion detection and other applications. One of the difficulties with handling concept drifting data streams is the existence of novel classes in the ...