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Ploy N. Pratanwanich
Ploy N. Pratanwanich
Unknown affiliation
Verified email at math.sc.chula.ac.th
Title
Cited by
Cited by
Year
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
3472017
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), 1-13, 2017
1002017
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
532021
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
232021
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
202015
Exploring the complexity of pathway–drug relationships using latent Dirichlet allocation
N Pratanwanich, P Lio
Computational biology and chemistry 53, 144-152, 2014
182014
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
152020
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
152016
Pathway-based Bayesian inference of drug–disease interactions
N Pratanwanich, P Lió
Molecular BioSystems 10 (6), 1538-1548, 2014
152014
Beyond sequencing: machine learning algorithms extract biology hidden in Nanopore signal data
YK Wan, C Hendra, PN Pratanwanich, J Göke
Trends in Genetics, 2021
132021
Detection of m6A from direct RNA sequencing using a Multiple Instance Learning framework
C Hendra, PN Pratanwanich, YK Wan, WS Goh, A Thiery, J Göke
Nature Methods, 1-9, 2022
122022
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
122014
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
22022
Warped matrix factorisation for multi-view data integration
N Pratanwanich, P Lió, O Stegle
Joint European conference on machine learning and knowledge discovery in …, 2016
22016
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
12021
Drug Repurposing by Optimizing Mining of Genes Target Association
A Boutorh, N Pratanwanich, A Guessoum, P Liň
International Meeting on Computational Intelligence Methods for …, 2014
12014
Mining LINE-1 characteristics that mediate gene expression
N Pratanwanich, A Mutirangura, C Aporntewan
International Conference on Computational Systems-Biology and Bioinformatics …, 2010
12010
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, 100106, 2022
2022
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
2022
214 Towards precise large genomic fragment deletion
JP de Magalhăes, P Hofvander, E Andreasson, M Andersson, S Fouché, ...
Genetics 38 (3), 2022
2022
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