Poster: Analysis of gene ranking algorithms with extraction of relevant biomedical concepts from PubMed publications

AGRA (Analysis of Gene Ranking Algorithms) was proposed, a novel method where biologists and other experts with low or no previous computer knowledge can compare different FS methods with help of evidence mined from PubMed publications. To achieve this, AGRA uses the FACTA + system which is an online text search engine for MEDLINE abstracts and it helps users browse biomedical concepts (e.g. genes/proteins, diseases, symptoms, drugs, enzymes and chemical compounds) which co-occur in the documents retrieved by a search query. The system was tested with seven different gene ranking algorithms. The AGRA method was compared to overlaps calculated from feature selection based rankings.