
What is SOMA
Our platform analyzes publicly available medical research articles, extracting important concepts and identifying causal and associative relationships between them. This information is organized into a specialized database, forming a knowledge graph. Researchers can specify pairs of concepts, and the system retrieves causal chains with lengths specified by the filter. Each link in the causal chain is documented by a sentence extracted from a research article, with specific articles accessible via provided web links.
How to Use SOMA
- Specify a pair of concepts. 2. The system retrieves causal chains based on the specified filter. 3. Access specific research articles using the provided web links.
Use Cases of SOMA
The platform is designed to enhance literature review by finding relevant articles based on the mechanism of action. It captures documents within specified key words and uncovers hidden connections not documented in any single article. This enables researchers to focus on driving their own research forward by building on existing knowledge.
Features of SOMA
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Concept Analysis
Extracts important concepts from medical research articles and identifies causal and associative relationships between them.
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Knowledge Graph
Organizes extracted information into a specialized database, forming a knowledge graph for easy access and analysis.
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API Access
Allows users to build their own pipelines in Python, R, or other languages for tasks like article search, concept analysis, drug repurposing, and target discovery.
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Community Support
Join a growing community for support and collaboration.