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Computational Biology and Chemistry|September 5, 2020
ncRDeep: Non-coding RNA classification with convolutional neural networkTuvshinbayar Chantsalnyam, Dae Yeong Lim, Hilal Tayara, et al.Diagnostics (Basel, Switzerland)|January 28, 2021
BrainSeg-Net: Brain Tumor MR Image Segmentation via Enhanced Encoder-Decoder NetworkMobeen Ur Rehman, SeungBin Cho, Jeehong Kim, et al.IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 29, 2020
Identification of Functional piRNAs Using a Convolutional Neural NetworkSyed Danish Ali, Waleed Alam, Hilal Tayara, et al.International Journal of Molecular Sciences|October 27, 2022
ACP-ADA: A Boosting Method with Data Augmentation for Improved Prediction of Anticancer PeptidesSadik Bhattarai, Kyu-Sik Kim, Hilal Tayara, et al.Bioinformatics (Oxford, England)|November 6, 2023
ORI-Explorer: a unified cell-specific tool for origin of replication sites prediction by feature fusionZeeshan Abbas, Mobeen Ur Rehman, Hilal Tayara, et al.Computers in Biology and Medicine|October 4, 2024
Stacking based ensemble learning framework for identification of nitrotyrosine sitesAiman Parvez, Syed Danish Ali, Hilal Tayara, et al.International Journal of Molecular Sciences|December 23, 2022
XML-CIMT: Explainable Machine Learning (XML) Model for Predicting Chemical-Induced Mitochondrial ToxicityKeerthana Jaganathan, Mobeen Ur Rehman, Hilal Tayara, et al.Genes|June 2, 2021
UbiComb: A Hybrid Deep Learning Model for Predicting Plant-Specific Protein Ubiquitylation SitesArslan Siraj, Dae Yeong Lim, Hilal Tayara, et al.Computers in Biology and Medicine|November 21, 2023
IF-AIP: A machine learning method for the identification of anti-inflammatory peptides using multi-feature fusion strategySaima Gaffar, Mir Tanveerul Hassan, Hilal Tayara, et al.Genomics|October 3, 2020
i6mA-stack: A stacking ensemble-based computational prediction of DNA N6-methyladenine (6mA) sites in the Rosaceae genomeJhabindra Khanal, Dae Young Lim, Hilal Tayara, et al.Pageof 128