Open Targets: a platform for therapeutic target identification and validation G Koscielny, P An, D Carvalho-Silva, JA Cham, L Fumis, R Gasparyan, ... Nucleic acids research 45 (D1), D985-D994, 2017 | 364 | 2017 |
f-scLVM: scalable and versatile factor analysis for single-cell RNA-seq F Buettner, N Pratanwanich, DJ McCarthy, JC Marioni, O Stegle Genome biology 18, 1-13, 2017 | 108 | 2017 |
Identification of differential RNA modifications from nanopore direct RNA sequencing with xPore PN Pratanwanich, F Yao, Y Chen, CWQ Koh, YK Wan, C Hendra, P Poon, ... Nature biotechnology 39 (11), 1394-1402, 2021 | 74 | 2021 |
A systematic benchmark of Nanopore long read RNA sequencing for transcript level analysis in human cell lines Y Chen, NM Davidson, YK Wan, H Patel, F Yao, HM Low, C Hendra, ... BioRxiv, 2021.04. 21.440736, 2021 | 28 | 2021 |
Beyond sequencing: machine learning algorithms extract biology hidden in Nanopore signal data YK Wan, C Hendra, PN Pratanwanich, J Göke Trends in Genetics 38 (3), 246-257, 2022 | 22 | 2022 |
Detection of m6A from direct RNA sequencing using a multiple instance learning framework C Hendra, PN Pratanwanich, YK Wan, WSS Goh, A Thiery, J Göke Nature Methods, 1-9, 2022 | 19 | 2022 |
A hybrid of metabolic flux analysis and bayesian factor modeling for multiomic temporal pathway activation C Angione, N Pratanwanich, P Lió ACS synthetic biology 4 (8), 880-889, 2015 | 19 | 2015 |
Exploring the complexity of pathway–drug relationships using latent Dirichlet allocation N Pratanwanich, P Lio Computational biology and chemistry 53, 144-152, 2014 | 18 | 2014 |
Detection of differential RNA modifications from direct RNA sequencing of human cell lines PN Pratanwanich, F Yao, Y Chen, CWQ Koh, C Hendra, P Poon, YT Goh, ... BioRxiv, 2020.06. 18.160010, 2020 | 15 | 2020 |
Pathway-based Bayesian inference of drug–disease interactions N Pratanwanich, P Lió Molecular BioSystems 10 (6), 1538-1548, 2014 | 15 | 2014 |
Scalable latent-factor models applied to single-cell RNA-seq data separate biological drivers from confounding effects F Buettner, N Pratanwanich, JC Marioni, O Stegle bioRxiv, 087775, 2016 | 14 | 2016 |
Who wrote this? Textual modeling with authorship attribution in big data N Pratanwanich, P Lio 2014 IEEE International Conference on Data Mining Workshop, 645-652, 2014 | 12 | 2014 |
Using automatic speech recognition to assess Thai speech language fluency in the Montreal cognitive assessment (MoCA) P Kantithammakorn, P Punyabukkana, PN Pratanwanich, S Hemrungrojn, ... Sensors 22 (4), 1583, 2022 | 4 | 2022 |
Breakthrough infections, hospital admissions, and mortality after major COVID-19 vaccination profiles: A prospective cohort study M Wichaidit, T Nopsopon, K Sunan, P Phutrakool, P Ruchikachorn, ... The Lancet Regional Health-Southeast Asia 8, 100106, 2023 | 2 | 2023 |
Warped matrix factorisation for multi-view data integration N Pratanwanich, P Lió, O Stegle Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016 | 2 | 2016 |
Selecting the Most Important Features for Predicting Mild Cognitive Impairment from Thai Verbal Fluency Assessments S Metarugcheep, P Punyabukkana, D Wanvarie, S Hemrungrojn, ... Sensors 22 (15), 5813, 2022 | 1 | 2022 |
Anomaly Detection for Online Visiting Traffic as a Real-Estate Indicator: The Case of HomeBuyer A Choukuljaratsiri, N Lertwongkhanakool, P Thienprapasith, ... Behavioral Predictive Modeling in Economics, 291-301, 2021 | 1 | 2021 |
Lukthung classification using neural networks on lyrics and audios K Kamtue, K Euchukanonchai, D Wanvarie, N Pratanwanich 2019 23rd International Computer Science and Engineering Conference (ICSEC …, 2019 | 1 | 2019 |
Drug Repurposing by Optimizing Mining of Genes Target Association A Boutorh, N Pratanwanich, A Guessoum, P Liň Computational Intelligence Methods for Bioinformatics and Biostatistics …, 2015 | 1 | 2015 |
Mining LINE-1 characteristics that mediate gene expression N Pratanwanich, A Mutirangura, C Aporntewan Computational Systems-Biology and Bioinformatics: First International …, 2010 | 1 | 2010 |