Challenges and opportunities to computationally deconvolve heterogeneous tissue with varying cell sizes using single-cell RNA-sequencing datasets.

"availability of data and materials code and data tables to reproduce panels in figs1 and 4 and the memory usage example from challenge 5 are available on github ( https://github com/lieberinstitute/deconvo_review-paper [ 188 ]) and zenodo ( https://zenodo org/records/10179283 [ 189 ]). plots were created using the ggplot2 v3 4 1 [ ] and complexheatmap v2 12 1 [ ] software; data used to reproduce these plots are available from github (data availability) fig 2 six challenges and opportunities to computationally deconvolve heterogeneous tissue with varying cell sizes using single-cell rna-sequencing datasets.; plots were created using the ggplot2 (v3 4 1; [ ] software; data used to reproduce these plots are available from github (data availability) publishing key datasets and results with essential documentation using standard data formats is an important part of reproducible computational research [ - ].; availability of data and materials code and data tables to reproduce panels in figs1 and 4 and the memory usage example from challenge 5 are available on github ( https://github com/lieberinstitute/deconvo_review-paper [ 188 ]) and zenodo ( https://zenodo org/records/10179283 [ 189 ])."

"plots were created using the ggplot2 v3 4 1 [ ] and complexheatmap v2 12 1 [ ] software; data used to reproduce these plots are available from github (data availability) fig 2 six challenges and opportunities to computationally deconvolve heterogeneous tissue with varying cell sizes using single-cell rna-sequencing datasets.; plots were created using the ggplot2 (v3 4 1; [ ] software; data used to reproduce these plots are available from github (data availability) publishing key datasets and results with essential documentation using standard data formats is an important part of reproducible computational research [ - ].; availability of data and materials code and data tables to reproduce panels in figs1 and 4 and the memory usage example from challenge 5 are available on github ( https://github com/lieberinstitute/deconvo_review-paper [ 188 ]) and zenodo ( https://zenodo org/records/10179283 [ 189 ])."

"Declarations Ethics approval and consent to participateNot applicable. Consent for publicationNot applicable. Competing interestsThe authors declare that they have no competing interests. Competing interests The authors declare that they have no competing interests."

"Funding This project was supported by the Lieber Institute for Brain Development, and National Institutes of Health grant R01 MH123183. All funding bodies had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript."