Loader Implementation: Add Named Gene Detection Field

[tmushayahama]

from this issue #89

This is a temp implementation until the boolean is implemented on the downstream data.

Implement a named_gene boolean field to identify genes with resolved symbols versus those that only have UniProtKB identifiers.

Add named_gene boolean field that is false when the gene ID (without "UniProtKB:" prefix) matches the gene_symbol.

annos_df['named_gene'] = annos_df['gene'].str.replace('UniProtKB:', '') != annos_df['gene_symbol']

Examples

Named gene (resolved symbol):

{
  "gene": "UniProtKB:Q8TD07",
  "gene_symbol": "RAET1E",
  "gene_name": "Retinoic acid early transcript 1E",
  "named_gene": true
}

**Unnamed gene (unresolved):**
```json
{
  "gene": "UniProtKB:A0A6Q8PHA8",
  "gene_symbol": "A0A6Q8PHA8",
  "gene_name": "Uncharacterized protein",
  "named_gene": false
}

Benefits

• Easy filtering of genes with/without resolved symbols
• Better data quality visibility
• For future what we will display on the ui

Testing

• Verify named_gene field is added to all gene records
• Confirm logic correctly identifies matching symbols
• Check that output JSON includes the new field

[dustine32]

@tmushayahama Referring to #89, I was planning on adding a boolean field called gene_has_no_symbol (since it involves the gene_symbol field) to the pango_data/human_iba_gene_info.json file. Should this field really be called named_gene instead? I'll do either, just let me know what should be in the gene file I produce.

[tmushayahama]

@dustine32 yes, thanks, I saw your data and saw a property called unnamed_gene, so I assumed you were using that name space. But yes gene_has_no_symbol sounds good, Maybe positive variable, like what do you think about shorter one has_gene_symbol or gene_symbol_exists. AI says is_synthetic_gene_symbol or has_placeholder_symbol. Any is fine with me

[dustine32]

@tmushayahama Thanks! I'll go with has_gene_symbol.