Statistical analysis of spatially resolved transcriptomic data by incorporating multi-omics auxiliar...
Statistical analysis of spatially resolved transcriptomic data by incorporating multi-omics auxiliary information
About this item
Full title
Author / Creator
Li, Yan , Zhou, Xiang and Cao, Hongyuan
Publisher
Cold Spring Harbor: Cold Spring Harbor Laboratory Press
Journal title
Language
English
Formats
Publication information
Publisher
Cold Spring Harbor: Cold Spring Harbor Laboratory Press
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More information
Scope and Contents
Contents
Effective control of false discovery rate is key for multiplicity problems. Here, we consider incorporating informative covariates from external datasets in the multiple testing procedure to boost statistical power while maintaining false discovery rate control. In particular, we focus on the statistical analysis of innovative high-dimensional spat...
Alternative Titles
Full title
Statistical analysis of spatially resolved transcriptomic data by incorporating multi-omics auxiliary information
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2653416335
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2653416335
Other Identifiers
E-ISSN
2692-8205
DOI
10.1101/2022.04.22.489194
How to access this item
https://www.proquest.com/docview/2653416335?pq-origsite=primo&accountid=13902