Author

Sz-Hau Chen

Roslin Institute

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 2 Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Chih-Han HuangiD· 2 shared Chih‐Hsun WuiD· 2 shared Edward S.C. ShihiD· 2 shared Hsuan-Kai WangiD· 2 shared Jacob W. AlbrechtiD· 2 shared Jhih-Yu CheniD· 2 shared Kuei-Lin Huang· 2 shared Mark W. BarnettiD· 2 shared

Activity by Year

2018-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersNeuroscience

Chih-Han HuangORCID

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Author profile →

4 papers

Recent·Most cited

High-Fidelity Tuning of Olfactory Mixture Distances in the Perceptual Space of Smell Through a Community Effort

Vahid Satarifard, Laura Sisson, Yikun Han, Pedro Ilídio, Matej Hladiš, Maxence Lalis, Xuebo Song, Tiffany Yang, Wenjie Yin, Aharon Ravia, Xingyu Zheng, Gaia Andreoletti, Jacob W. Albrecht, Robert Pellegrino, Wang Ze-hua, , Alexei A. Koulakov

The paper presents an ensemble model that improves predictions of perceptual similarity between odor mixtures using a curated dataset and collaborative challenge results.

Proceedings of the National Academy of Sciences · Aug 4, 2026Peer-reviewedNeuroscience

Evaluation and optimization of sequence-based gene regulatory deep learning models

Abdul Muntakim Rafi, Daria Nogina, Dmitry Penzar, Dohoon Lee, Danyeong Lee, N. S. KIM, Sangyeup Kim, Dohyeon Kim, Yeojin Shin, Il‐Youp Kwak, Georgy Meshcheryakov, Andrey S. Lando, Arsenii O. Zinkevich, Byeongchan Kim, Juhyun Lee, , Carl G. de Boer

The paper evaluates and optimizes sequence-based gene regulatory deep learning models using a DREAM Challenge dataset, showing improvements through architectural and training strategy refinements.

Nature Biotechnology · Oct 11, 2024Peer-reviewedGenomics

Assembly of a Parts List of the Human Mitotic Cell Cycle Machinery

Bruno Giotti, Sz-Hau Chen, Mark W. Barnett, Tim W. Regan, Tony Ly, Stefan Wiemann, David Arthur Hume, Tom C. Freeman

The paper identifies 701 genes associated with human mitotic phases through transcriptomics analysis, including 205 putative cell cycle genes and 53 uncharacterised ones, with some showing novel centrosomal localization or proliferation inhibition.

Journal of Molecular Cell Biology · Nov 16, 2018Peer-reviewedGenomics

Visualisation and analysis of RNA-Seq assembly graphs

Wan Fahmi Wan Mohamad Nazarie, Barbara Bo-Ju Shih, Tim Angus, Mark W. Barnett, Sz-Hau Chen, KIM M. SUMMERS, Karsten Klein, Geoffrey J. Faulkner, Harpreet Kaur Saini, Mick Watson, Stijn van Dongen, Anton James Enright, Tom C. Freeman

The paper develops a graph-based visualization method for RNA-Seq data to better understand transcript diversity and assembly issues.

bioRxiv · Sep 6, 2018 · PreprintBioinformatics