Ploy N. Pratanwanich
Ploy N. Pratanwanich
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Cited by
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
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
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
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
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
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
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
Exploring the complexity of pathway–drug relationships using latent Dirichlet allocation
N Pratanwanich, P Lio
Computational biology and chemistry 53, 144-152, 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
Pathway-based Bayesian inference of drug–disease interactions
N Pratanwanich, P Lió
Molecular BioSystems 10 (6), 1538-1548, 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
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
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
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
Warped matrix factorisation for multi-view data integration
N Pratanwanich, P Lió, O Stegle
Machine Learning and Knowledge Discovery in Databases: European Conference …, 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
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
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
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
Mining LINE-1 characteristics that mediate gene expression
N Pratanwanich, A Mutirangura, C Aporntewan
Computational Systems-Biology and Bioinformatics: First International …, 2010
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