นฤมล
ประทานวณิช

My main research focuses on the design and development of machine learning techniques. I have been developing novel probabilistic models using Bayesian inference methods in bioinformatics, where interpretable models are primarily required for laboratory validation. In addition to the medical and pharmaceutical applications, I have applied machine learning techniques especially deep neural networks in other fields such as natural language processing, recommender systems, finance, and property tech. Recently, I have also applied data visualization tools to translate our research results and data analytics to the community.

• Kantithammakorn, P., Punyabukkana, P., Pratanwanich, P. N., Hemrungrojn, S., Chunharas, C., & Wanvarie, D. (2022). Using Automatic Speech Recognition to Assess Thai Speech Language Fluency in the Montreal Cognitive Assessment (MoCA). Sensors, 22(4), 1583.
• Wan, Y. K., Hendra, C., Pratanwanich, P. N., & Göke, J. (2021). Beyond sequencing: machine learning algorithms extract biology hidden in Nanopore signal data. Trends in Genetics.
• Ploy N. Pratanwanich et al. Identification of differential RNA modifications from nanopore direct RNA sequencing with xPore. Nat Biotechnol(2021).
• Gan Srirutchataboon, Saranpat Prasertthum, Ekapol Chuangsuwanich, Ploy N. Pratanwanich and Chotirat Ratanamahatana. Stacking Ensemble Learning for Housing Price Prediction: A Case Study in Thailand. InInternational Conference on Knowledge and Smart Technology (KST),
• Arcchaporn Choukuljaratsiri, Nat Lertwongkhanakool, Pipop Thienprapasith, Naruemon Pratanwanich, Ekapol Chuangsuwanich. Anomaly Detection for Online Visiting Traffic as a Real-Estate Indicator: The Case of HomeBuyer. InInternational Conference of the Thailand Econometric Society (TES),
• Kawisorn Kamtue, Kasina Euchukanonchai, Dittaya Wanvarie and Naruemon Pratanwanich. Lukthung classification using neural networks on lyrics and audios. InInternational Computer Science and Engineering Conference (ICSEC),
• Florian Buettner, Naruemon Pratanwanich, Davis J. McCarthy, John C Marioni and Oliver Stegle. Scalable and versatile factor analysis for single-cell RNA-seq. Genome Biology, 2017.
• Gautier Koscielny et al. Open Targets: a platform for therapeutic target identification and validation. Nucleic acids research, 2017.
• Naruemon Pratanwanich, Pietro Lió, Oliver Stegle Warped Matrix Factorisation for Multi-view Data Integration. InJoint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-KDD), 2016.
• Claudio Angione*, Naruemon Pratanwanich* and Pietro Lió. A Hybrid of Metabolic Flux Analysis and Bayesian Factor Modeling for Multiomic Temporal Pathway Activation. ACS synthetic biology, 2015.
• Naruemon Pratanwanich, Pietro Lió. Pathway-Based Probabilistic Modelling for Personalised Drug Activity in Cancer. InComputational Systems-Biology and Bioinformatics (CSBio),
• Naruemon Pratanwanich, Pietro Lió. Pathway-based Bayesian inference of drug–disease interactions. Molecular BioSystems, 2014.
• Naruemon Pratanwanich, Pietro Lió. Exploring the complexity of pathway–drug relationships using latent Dirichlet allocation. Computational biology and chemistry, 2014.
• Naruemon Pratanwanich, Apiwat Mutirangura, Chatchawit Mining LINE-1 characteristics that mediate gene expression. InComputational Systems-Biology and Bioinformatics (CSBio), 2010.

* Joint first author.