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Shing Chiang Tan on Muck Rack

Shing Chiang Tan

Malacca
As seen in: PLOS ONE, F1000Research
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Articles

On the use of QDE-SVM for gene feature selection and cell type classification from scRNA-seq data

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By Bukit Beruang, Shing Chiang Tan, Chia Sui Ong
| PLOS ONE
Loading metrics Open Access Peer-reviewed Research Article Citation: Ng GYL, Tan SC, Ong CS (2023) On the use of QDE-SVM for gene feature selection and cell type classification from scRNA-seq data. PLoS ONE 18(10): e0292961. https://doi.org/10.1371/journal.pone.0292961 Editor: Guanghui Liu, State University of New York at Oswego, UNITED STATES Received: April 10, 2023; Accepted: October 3, 2023; Published: October 19, 2023 Copyright: © 2023 Ng et al.
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F1000Research Article: Reducing the Complexity of Casual Representation in Bayesian Belief Network.

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By Yit Yin, Shing Chiang, Yit Yin Wee, Shing Chiang Tan
| F1000Research
Home Browse Reducing the Complexity of Casual Representation in Bayesian Belief... Wee YY, Tan SC and Wee K. Reducing the Complexity of Casual Representation in Bayesian Belief Network [version 1; peer review: awaiting peer review]. F1000Research 2021, 10:1243 (https://doi.org/10.12688/f1000research.73480.1) NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. All fields are required.
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