Simulation-based Evaluation of the Reliability of Bayesian Hierarchical Models for sc-RNAseq Data

Li, S, Lopez Garcia, M orcid.org/0000-0003-3833-8595 and Cutillo, L (2022) Simulation-based Evaluation of the Reliability of Bayesian Hierarchical Models for sc-RNAseq Data. In: 2021 20th International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS). 20th International Conference on Ubiquitous Computing and Communications (IUCC-2021), 20-22 Dec 2021, Online. IEEE . ISBN 978-1-6654-6668-4

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Copyright, Publisher and Additional Information: © 2021, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Bayesian Hierarchical Model; Parameter Calibration; Simulation-based Calibration; Single-cell Sequencing Data
Dates:
  • Accepted: 28 November 2021
  • Published (online): 3 March 2022
  • Published: 3 March 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Applied Mathematics (Leeds)
The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 04 Mar 2022 10:51
Last Modified: 04 Mar 2022 10:51
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/IUCC-CIT-DSCI-SmartCNS55181.2021.00063

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