Chayaporn Suphavilai - researchr alias

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Viewing Publication 1 - 8 from 8

2024

MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomesRafael Peres da Silva, Chayaporn Suphavilai, Niranjan Nagarajan. bmcmi, 24(1):153, December 2024. [doi]

MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomesRafael Peres da Silva, Chayaporn Suphavilai, Niranjan Nagarajan. bmcbi, 25(1):153, December 2024. [doi]

2023

CREAMMIST: an integrative probabilistic database for cancer drug response predictionHatairat Yingtaweesittikul, Jiaxi Wu, Aanchal Mongia, Rafael Peres, Karrie Ko, Niranjan Nagarajan, Chayaporn Suphavilai. nar, 51(D1):1242-1248, January 2023. [doi]

2021

TUGDA: task uncertainty guided domain adaptation for robust generalization of cancer drug response prediction from in vitro to in vivo settingsRafael Peres da Silva, Chayaporn Suphavilai, Niranjan Nagarajan. bioinformatics, 37(Supplement):76-83, 2021. [doi]

Task Uncertainty Loss Reduce Negative Transfer in Asymmetric Multi-task Feature Learning (Student Abstract)Rafael Peres da Silva, Chayaporn Suphavilai, Niranjan Nagarajan. AAAI 2021: 15867-15868 [doi]

2018

Predicting Cancer Drug Response using a Recommender SystemChayaporn Suphavilai, Denis Bertrand, Niranjan Nagarajan. bioinformatics, 34(22):3907-3914, 2018. [doi]

2015

PAGER: constructing PAGs and new PAG-PAG relationships for network biologyZongliang Yue, Madhura M. Kshirsagar, Thanh Nguyen, Chayaporn Suphavilai, Michael T. Neylon, Liugen Zhu, Timothy Ratliff, Jake Yue Chen. bioinformatics, 31(12):250-257, 2015. [doi]

2014

Constructing regulatory gene set networks to reveal novel insights into biological systemsChayaporn Suphavilai, Liugen Zhu, Jake Y. Chen. iccabs 2014: 1-2 [doi]

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