Anoexpress

What's Changed
* refactor package into separate scripts by sanjaynagi in https://github.com/sanjaynagi/AnoExpress/pull/64
* fix np and px to avoid conflicts by sanjaynagi in https://github.com/sanjaynagi/AnoExpress/pull/66


**Full Changelog**: https://github.com/sanjaynagi/AnoExpress/compare/v0.2.5...v0.3.0

What's Changed
* add count method to metadata by sanjaynagi in https://github.com/sanjaynagi/AnoExpress/pull/60
* fix plotly to v5.11 by sanjaynagi in https://github.com/sanjaynagi/AnoExpress/pull/62


**Full Changelog**: https://github.com/sanjaynagi/AnoExpress/compare/v0.2.4...v0.2.5

- Removes most of the malariagen_data functionality, as that requires google cloud auth now. Instead we load gffs directly from VectorBase
- Support for python 3.11

What's Changed
* remove ag3() by sanjaynagi in https://github.com/sanjaynagi/AnoExpress/pull/59


**Full Changelog**: https://github.com/sanjaynagi/AnoExpress/compare/v0.2.3...v0.2.4

What's Changed
* Implement an NaN filter within xpress.data(), and GSEA custom gene lists by sanjaynagi in https://github.com/sanjaynagi/AnoExpress/pull/51
* Allow mixing of PFAM and Go terms to select genes by sanjaynagi in https://github.com/sanjaynagi/AnoExpress/pull/52
* add missing coeae1f name by sanjaynagi in https://github.com/sanjaynagi/AnoExpress/pull/55
* allow file input to gsea, filter_low_counts + sample_query by sanjaynagi in https://github.com/sanjaynagi/AnoExpress/pull/57


**Full Changelog**: https://github.com/sanjaynagi/AnoExpress/compare/v0.2.0...v0.2.3

This release now contains the R colab notebook for the differential expression meta-analysis, meaning that all steps of the meta-analysis are now performable from Colab from the original count data.

Also:

- Support for selecting genes by genome span 49

- improved heatmap function 48
- improved pca notebook 48
- Fix for GRNs
- logo update 47
- plot_gene_expression() uses 'simple_white' plotly template 47
- GWES now uses 'webgl' backend for speed 46