Gusnanto, A, Gosling, JP orcid.org/0000-0002-4072-3022 and Pope, C (2017) Identification of transcript regulatory patterns in cell differentiation. Bioinformatics, 33 (20). pp. 3235-3242. ISSN 1367-4803
Abstract
Motivation: Studying transcript regulatory patterns in cell differentiation is critical in understanding its complex nature of the formation and function of different cell types. This is done usually by measuring gene expression at different stages of the cell differentiation. However, if the gene expression data available are only from the mature cells, we have some challenges in identifying transcript regulatory patterns that govern the cell differentiation. Results: We propose to exploit the information of the lineage of cell differentiation in terms of correlation structure between cell types. We assume that two different cell types that are close in the lineage will exhibit many common genes that are co-expressed relative to those that are far in the lineage. Current analysis methods tend to ignore this correlation by testing for differential expression assuming some sort of independence between cell types. We employ a Bayesian approach to estimate the posterior distribution of the mean of expression in each cell type, by taking into account the cell formation path in the lineage. This enables us to infer genes that are specific in each cell type, indicating the genes are involved in directing the cell differentiation to that particular cell type. We illustrate the method using gene expression data from a study of haematopoiesis. Availability and implementation: R codes to perform the analysis are available in http://www1.maths.leeds.ac.uk/∼arief/R/CellDiff/.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © The Author(s) 2017. Published by Oxford University Press. This is a pre-copyedited, author-produced version of an article accepted for publication in Bioinformatics following peer review. The version of record, Gusnanto, A, Gosling, JP and Pope, C (2017) Identification of transcript regulatory patterns in cell differentiation. Bioinformatics. ISSN 1367-4803., is available online at: https://doi.org/10.1093/bioinformatics/btx406. |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 22 Jun 2017 09:19 |
Last Modified: | 24 Jun 2018 00:38 |
Status: | Published |
Publisher: | Oxford University Press |
Identification Number: | 10.1093/bioinformatics/btx406 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:118052 |