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Statistical analysis of spatially resolved transcriptomic data by incorporating multi-omics auxiliar...

Statistical analysis of spatially resolved transcriptomic data by incorporating multi-omics auxiliar...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2653416335

Statistical analysis of spatially resolved transcriptomic data by incorporating multi-omics auxiliary information

About this item

Full title

Statistical analysis of spatially resolved transcriptomic data by incorporating multi-omics auxiliary information

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

Journal title

bioRxiv, 2022-04

Language

English

Formats

Publication information

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

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

Identifiers

Primary Identifiers

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