Pilocytic Astrocytoma scRNA Analysis

### Please link to the GitHub Discussion for this proposed analysis.

[ Pilocytic Astrocytoma scRNA Analysis (Discussion #1072)](https://github.com/AlexsLemonade/OpenScPCA-analysis/discussions/1072)

### Describe the goals of this analysis module.

Annotate the Pilocytic Astrocytoma Samples within the database.

For pilocytic astrocytoma object: Following cell filtering for UMI (counts and features) and percent of mitochondrial and ribosomal genes, Seurat pipeline will be utilized performing the analysis similar to our papers: PMID: 38357919 and PMID: 39137048. Following scaling data and transformation, Harmony will be used for batch correction. Malignant and non-malignant cell will be sub clustered to increase cell cluster resolution. Further, the non-malignant cells will be sub clustered again into CD45- and CD45+. Immune cells (CD45+) will be sub clustered again into myeloid (CD68+, P2RY12+, CD11c+, CD3E-) and lymphoid (CD3E+). Reference mapping for non-malignant cell will be conducted using the following reference objects: PMID: 38357919 and PMID: 39137048

### What software will you require?

R and R Studio

### What will your first pull request contain?

The first PR will include the skeleton of the module folder and a description in the README.md file

### What computational resources will you require?

_No response_

### If known, when do you expect to file the first pull request?

_No response_

Start with Discussion #1072 and the repository's analysis-module conventions. Create the proposed module folder and its README skeleton first, then review the stated filtering, Seurat, Harmony, sub-clustering, and reference-mapping goals. Done means the Pilocytic Astrocytoma samples are annotated through the described analysis and the module documentation explains the workflow.

Written by the indexing model from the issue text.