Anoexpress

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

- Release for zenodo so that AnoExpress can be cited prior to the manuscript.
- No changes since v0.1.6

- Results arrays now standardised (Only contain GeneID, not Name or Description), which is added to data from a separate file - `resources/AgamP4.annots.tsv`

- Adds support for filtering by pvalue

- Genome-wide expression scans implementation

- adds support for kegg pathway enrichment analysis