Accenture / Accenture/AmpliGraph
Ampligraph Embedding for Protein Sequences
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- Python
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Description
Hi
I am new to AmpliGraph Embedding. I want to know, will AmpliGraph Embedding accurately generate embedding of a protein sequence? I was exploring the ScoringBasedEmbeddingModel used in Ampligraph Embedding and uses the TransE scoring method. TransE is developed on the text-based knowledge base. So the question arises, how any text based embedding model can generate embedding accurately for a protein or kinase enzyme in the knowledge graph data like ?
I was trying to get the embedding of the protein sequences of Protein Knowledge graph data https://www.zjukg.org/project/ProteinKG25/
Contributor guide
First steps
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Research direction
Start with the documentation for ScoringBasedEmbeddingModel and the TransE scoring method, then review the ProteinKG25 dataset linked in the issue. The issue names no source files or tests, and a completion condition is not defined because it asks whether protein-sequence embeddings would be accurate rather than requesting a specific change.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100