Ai Ling Teh

According to our database, Ai Ling Teh authored at least 2 papers in 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Comparing feature selection and machine learning approaches for predicting CYP2D6 methylation from genetic variation.

Wei Jing Fong, Hong Ming Tan, Rishabh Garg, Ai Ling Teh, Hong Pan, Varsha Gupta, Bernadus Krishna, Zou Hui Chen, Natania Yovela Purwanto, Fabian Yap, Kok Hian Tan, Kok Yen Jerry Chan, Shiao-Yng Chan, Nicole Goh, Nikita Rane, Ethel Siew Ee Tan, Yuheng Jiang, Mei Han, Michael J. Meaney, Dennis Wang, Jussi Keppo, Geoffrey Chern-Yee Tan

Frontiers Neuroinformatics, March, 2023

Longitudinal prediction of DNA methylation to forecast epigenetic outcomes.

Arthur Leroy, Ai Ling Teh, Frank Dondelinger, Mauricio A. Álvarez, Dennis Wang

CoRR, 2023