Deep-2'-O-me: predicting 2'-O-methylation sites by convolutional neural networks M Mostavi, S Salekin, Y Huang 2018 40th annual international conference of the IEEE Engineering in …, 2018 | 29 | 2018 |
Base-pair resolution detection of transcription factor binding site by deep deconvolutional network S Salekin, JM Zhang, Y Huang Bioinformatics 34 (20), 3446–3453, 2018 | 26 | 2018 |
A deep learning model for predicting transcription factor binding location at single nucleotide resolution S Salekin, M Zhang, Y Huang Biomedical & Health Informatics (BHI), 2017 IEEE EMBS International …, 2017 | 16 | 2017 |
Predicting Sites of Epitranscriptome Modifications Using Unsupervised Representation Learning Based on Generative Adversarial Networks S Salekin, M Mostavi, YC Chiu, Y Chen, JM Zhang, Y Huang Frontiers in Physics, 2020 | 14 | 2020 |
Early disease correlated protein detection using early response index (ERI) S Salekin, MG Bari, I Raphael, TG Forsthuber, JM Zhang 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2016 | 7 | 2016 |
Early response index: a statistic to discover potential early stage disease biomarkers S Salekin, MG Bari, I Raphael, TG Forsthuber, JM Zhang BMC Bioinformatics 18 (313), 2017 | 6 | 2017 |
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) M Mostavi, S Salekin, Y Huang | 5 | 2018 |
A robust and efficient feature selection algorithm for microarray data MG Bari, S Salekin, J Zhang Molecular Informatics 36 (4), 1600099, 2017 | 4 | 2017 |
Image De-Noising Through Symmetric, Bell-Shaped, and Centered Weighted Median Filters Based Subband Decomposition S Salekin, S Agaian, I Jahan, SZ Sajal 2018 IEEE International Conference on Electro/Information Technology (EIT …, 2018 | 2 | 2018 |
Deep Learning Models for Predicting Genomic and Transcriptomic Functional Sites S Salekin The University of Texas at San Antonio, 2018 | | 2018 |