Welcome to SemBT
SemBT is the Semantic version of the BITOLA Biomedical Discovery Support System
Getting started
Here’s how to get rolling:
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Question answering and discovery using semantic relations
The semantic realations are extracted from Medline. Additionally, you can use microarray results for more specific searching.
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Closed discovery using semantic relations
You can search for intermediate concepts that link two sets of semantic relations. Here you can also use microarray results for search refirement.
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Closed discovery example ("Lithium","Brugada Syndrome")
To illustrate closed discovery approach to finding drug adverse effects exaplanation.
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Discovery patterns
Discovery patterns are search combinations that have a higher likehood of returning a new discovery. There are specific discovery patterns for specific discovery tasks. Here you have some examples:
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Inhibit the upregulated
Search for substances, genes, ... that inhibit the top 300 genes that are upregulated on the Parkinson microarray
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Stimulate the downregulated
Search for substances etc that stimulate the genes that are downregulated on the Parkinson microarray
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