| Recsno: prediction of protein s-nitrosylation sites using a recurrent neural network A Siraj, T Chantsalnyam, H Tayara, KT Chong IEEE Access 9, 6674-6682, 2021 | 21 | 2021 |
| UbiComb: a hybrid deep learning model for predicting plant-specific protein ubiquitylation sites A Siraj, DY Lim, H Tayara, KT Chong Genes 12 (5), 717, 2021 | 18 | 2021 |
| ncRDense: a novel computational approach for classification of non-coding RNA family by deep learning T Chantsalnyam, A Siraj, H Tayara, KT Chong Genomics 113 (5), 3030-3038, 2021 | 16 | 2021 |
| OpenMS 3 enables reproducible analysis of large-scale mass spectrometry data J Pfeuffer, C Bielow, S Wein, K Jeong, E Netz, A Walter, O Alka, L Nilse, ... Nature methods 21 (3), 365-367, 2024 | 2 | 2024 |
| Intensity and retention time prediction improves the rescoring of protein‐nucleic acid cross‐links A Siraj, R Bouwmeester, A Declercq, L Welp, A Chernev, A Wulf, H Urlaub, ... Proteomics 24 (8), 2300144, 2024 | 1 | 2024 |
| OpenMS 3 expands the frontiers of open-source computational mass spectrometry T Sachsenberg, J Pfeuffer, C Bielow, S Wein, K Jeong, E Netz, A Walter, ... | | 2023 |
| Prediction of Lysine 2-Hydroxysisobutyrylation sites by using a deep learning approach A Siraj, JM Kim, M Song, KT Chong 정보 및 제어 논문집, 58-61, 2021 | | 2021 |
Kil To ChongJeonbuk National University在 jbnu.ac.kr 的电子邮件经过验证
