Chayaporn Suphavilai

According to our database, Chayaporn Suphavilai authored at least 8 papers between 2014 and 2024.

Collaborative distances:

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

2024

MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes.

Rafael Peres da Silva, Chayaporn Suphavilai, Niranjan Nagarajan

BMC Bioinform., December, 2024

2023

CREAMMIST: an integrative probabilistic database for cancer drug response prediction.

Hatairat Yingtaweesittikul, Jiaxi Wu, Aanchal Mongia, Rafael Peres, Karrie Ko, Niranjan Nagarajan, Chayaporn Suphavilai

Nucleic Acids Res., January, 2023

2021

TUGDA: task uncertainty guided domain adaptation for robust generalization of cancer drug response prediction from in vitro to in vivo settings.

Rafael Peres da Silva, Chayaporn Suphavilai, Niranjan Nagarajan

Bioinform., 2021

Task Uncertainty Loss Reduce Negative Transfer in Asymmetric Multi-task Feature Learning (Student Abstract).

Rafael Peres da Silva, Chayaporn Suphavilai, Niranjan Nagarajan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Task Uncertainty Loss Reduce Negative Transfer in Asymmetric Multi-task Feature Learning.

Rafael Peres da Silva, Chayaporn Suphavilai, Niranjan Nagarajan

CoRR, 2020

2018

Predicting Cancer Drug Response using a Recommender System.

Chayaporn Suphavilai, Denis Bertrand, Niranjan Nagarajan

Bioinform., 2018

2015

PAGER: constructing PAGs and new PAG-PAG relationships for network biology.

Zongliang Yue, Madhura M. Kshirsagar, Thanh Nguyen, Chayaporn Suphavilai, Michael T. Neylon, Liugen Zhu, Timothy Ratliff, Jake Yue Chen

Bioinform., 2015

2014

Constructing regulatory gene set networks to reveal novel insights into biological systems.

Chayaporn Suphavilai, Liugen Zhu, Jake Y. Chen

Proceedings of the IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, 2014