Natural Science

Natural Science

ISSN Print: 2150-4091
ISSN Online: 2150-4105
www.scirp.org/journal/ns
E-mail: ns@scirp.org
"mLysPTMpred: Multiple Lysine PTM Site Prediction Using Combination of SVM with Resolving Data Imbalance Issue"
written by Md. Al Mehedi Hasan, Shamim Ahmad,
published by Natural Science, Vol.10 No.9, 2018
has been cited by the following article(s):
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[1] MLysPRED: graph-based multi-view clustering and multi-dimensional normal distribution resampling techniques to predict multiple lysine sites
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[2] Accurately predicting nitrosylated tyrosine sites using probabilistic sequence information
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[3] Prediction of Plant Ubiquitylation Proteins and Sites by Fusing Multiple Features
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[4] Capsulated Graph Neural Network for Ubiquitylation Sites Prediction
2022 IEEE …, 2022
[5] Identifying Pupylation Proteins and Sites by Incorporating Multiple Methods
Frontiers in …, 2022
[6] IMPLEMENTASI ALGORITME SMOTE DAN KLASIFIKASI RANDOM FOREST PADA IMBALANCED DATA METILASI SEQUENCE PROTEIN LISIN
2022
[7] predPhogly-Site: Predicting phosphoglycerylation sites by incorporating probabilistic sequence-coupling information into PseAAC and addressing data …
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[8] MDCAN-Lys: A Model for Predicting Succinylation Sites Based on Multilane Dense Convolutional Attention Network
2021
[9] predML-site: predicting multiple lysine PTM sites with optimal feature representation and data imbalance minimization
IEEE/ACM …, 2021
[10] Computational identification of multiple lysine PTM sites by analyzing the instance hardness and feature importance
Scientific Reports, 2021
[11] Prediction of Formylation Sites by Incorporating Sequence Coupling into General PseAAC
2020
[12] An Improved Class-wise Principal Component Analysis Based Feature Extraction Framework for Hyperspectral Image Classification
2020
[13] Mal-Light: Enhancing Lysine Malonylation Sites Prediction Problem Using Evolutionary-based Features
2020
[14] A Hybrid Approach of Feature Selection and Feature Extraction for Hyperspectral Image classification
2019
[15] A Comparison of Supervised and Unsupervised Dimension Reduction Methods for Hyperspectral Image Classification
2019
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