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    Novel Feature Extraction for Predicting Gram-Positive and Gram-Negative Bacteria Protein Sub-cellular Localization 

    Uddin, Raihan (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 ...
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    Feature Selection Method for DNA-Binding Protein Identification 

    Chowdhury, Shahana Yasmin (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, ...
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    DNA Binding Protein Identification Using HMM Profile 

    Zaman, Rianon (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 ...
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    Subcellular Localization of Multi-class Proteins Using Label Power-set Encoding 

    Bin Hashem, Hasnaeen Ferdous (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 ...
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    Identification of Bacterial Sigma 70 Promoter Sequences Using Feature Subspace Based Ensemble Classifier 

    Aktar, Usma (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 ...
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    Identifying Sigma 70 Promoters Using Multiple Windowing and Optimal Features 

    Rahman, Md Siddiqur (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 ...
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    Prediction of Lysine-Malonylation Sites via Sequential and Physicochemical Features 

    Ahmed, Asif; Sarkar, Kenedy; Aziz, Yeazullah; Khan, Toha (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 ...
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    Enhanced prediction of A-to-I RNA editing sites using nucleotide compositions 

    Ahmad, Ahsan (2019-08-31)
    RNA editing process like Adenosine to Intosine (A-to-I) often influences basic functions like splicing stability and most importantly the translation. Thus knowledge about editing sites is of great importance in molecular ...
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    A Novel Approach to Predict the Origin of Replication 

    Promi, Mashiyat Alam (2021-01-15)
    In the genome of every species, there exists an origin, known as the origin of replication (ORI), from where the genome starts to replicate itself during the process of cell division. Finding out this origin; is therefore ...
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    Convolutional Neural Networks with Image Representation of Amino Acid Sequences for Protein Function Prediction 

    Sara, Samia Tasnim (2021-12)
    Proteins are one of the most important molecules that govern the cellular processes in organisms. Various functions of the proteins are of paramount importance to understand the basics of life. Several supervised learning ...
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    AuthorAhmad, Ahsan (1)Ahmed, Asif (1)Ahmed, Faisal (1)Aktar, Usma (1)Aziz, Yeazullah (1)Bin Hashem, Hasnaeen Ferdous (1)Chowdhury, Shahana Yasmin (1)Islam, Sadia (1)Khan, Toha (1)Promi, Mashiyat Alam (1)... View MoreSubject
    Bioinformatics (12)
    Machine Learning (12)Label Powerset Encoding (1)Origin of Replication in Genome (1)Protein Subcellular Localization (1)... View MoreDate Issued2023 (1)2022 (1)2021 (2)2019 (1)2018 (5)2017 (2)

    Copyright 2003-2017 United International University
    Contact Us | Send Feedback
    Developed by UIU CITS