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Thomas edited this page Jan 10, 2015
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- From the user's interface (UI), SEARCH QUERY(SQ) are passed onto the Learning module
- The Learning module returns a list of literature (with title, abstract, and other info)
- User provides feedback (boolean: Yay or nay, along with Journal_Name) back to the Learning Module
- Repeat Step 2 based on feedback
In respect to python module:
- Biopython
- Beautiful Soup to support scholar.py
Required dataset:
- keeps track all of the user's feedback
i.e. python scholar.py -A "-p90 -WAF1 +p53"
- Limitations: Some of the abstracts are shortened and it only looks up to top 20 articles.
- input : Query keyword (str)
- Output: Title, citations, Years
- Status: Completed
- dependencies : Bio-python module
- input: Journal_title (str)
- output: abstract, Keywords
- function: parse the GO's obo file
- input : keyword [str], degree of association [int]
- output : a list of synonyms within given degree of association [comma-separated]
- purpose: this module returns a list of homologous genes
- input: GENE Name, species
- output: genes (ranked by similarity, besides its own)