Recent advances in network-based methods for disease gene prediction SK Ata, M Wu, Y Fang, L Ou-Yang, CK Kwoh, XL Li Briefings in Bioinformatics, 2020 | 75 | 2020 |
Disease gene classification with metagraph representations SK Ata, Y Fang, M Wu, XL Li, X Xiaokui Methods, 2017 | 42 | 2017 |
Integrating node embeddings and biological annotations for genes to predict disease-gene associations SK Ata, L Ou-Yang, Y Fang, CK Kwoh, M Wu, XL Li BMC systems biology 12, 31-44, 2018 | 40 | 2018 |
Multi-view collaborative network embedding SK Ata, Y Fang, M Wu, J Shi, CK Kwoh, X Li ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (3), 1-18, 2021 | 18 | 2021 |
Predicting the textural properties of plant-based meat analogs with machine learning S Kircali Ata, JK Shi, X Yao, XY Hua, S Haldar, JH Chiang, M Wu Foods 12 (2), 344, 2023 | 7 | 2023 |
Searching for the optimal ordering of classes in rule induction. S Ata, OT Yildiz ICPR, 1277-1280, 2012 | 6 | 2012 |
Towards Safe and Efficient Analog Circuit Design: Active Learning for Feasibility Region Exploration SK Ata, ZH Kong, A James, L Cai, KS Yeo, KMM Aung, CS Foo, A James 2024 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), 193-197, 2024 | | 2024 |
The Initialization Factor: Understanding its Impact on Active Learning for Analog Circuit Design SK Ata, ZH Kong, A James, L Cai, KS Yeo, KMM Aung, CS Foo, A James 2024 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2024 | | 2024 |
Learning graph representations for disease gene prediction S Ata Kircali NTU, Singapore https://dr.ntu.edu.sg/handle/10356/137913, 2019 | | 2019 |
Disease Gene Classification with Metagraph Representations Data Mining for Systems Biology Methods in Molecular Biology 1807, 211-224, 2018 | | 2018 |
Optimizing Chiplet Placement in Thermally Aware Heterogeneous 2.5 D Systems Using Reinforcement Learning PP Kundu, Z Furen, SK Ata, H Yubo, MD Rotaru, R Dutta, A James | | |
LI, Xiao-Li. Integrating node embeddings and biological annotations for genes to predict disease-gene associations.(2018) SK ATA, L OU-YANG, Y FANG, CK KWOH, M WU BMC Systems Biology 12, 31-44, 0 | | |