Author

Marasri Ruengjitchatchawalya

King Mongkut's University of Technology ThonburiORCID 0000-0003-2872-7757Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Research Focus:protein structure prediction· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Apiwat SangphukieoiD· 2 shared Teeraphan LaomettachitiD· 2 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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2 shared papersBioinformatics

Apiwat SangphukieoORCID

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2 papers

Recent·Most cited

BioinformaticsPLoS ONEPeer-reviewedMar 17, 2021

PhotoModPlus: A webserver for photosynthetic protein prediction from a genome neighborhood feature

Apiwat Sangphukieo, Teeraphan Laomettachit, Marasri Ruengjitchatchawalya

PhotoModPlus predicts photosynthetic proteins using genome neighborhood networks and a machine learning model, achieving an F1 score of 0.872.

1 citation

machine learning (classical)protein structure prediction

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BioinformaticsScientific ReportsPeer-reviewedApr 28, 2020

Photosynthetic protein classification using genome neighborhood-based machine learning feature

Apiwat Sangphukieo, Teeraphan Laomettachit, Marasri Ruengjitchatchawalya

The paper develops a machine learning method using genome neighborhood features to classify photosynthetic proteins, achieving 94% accuracy and outperforming existing tools.

13 citations

DNA methylationwhole-genome sequencing

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