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chi-square ( χ 2 ) method  (Minitab Inc)

 
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    Minitab Inc chi-square ( χ 2 ) method
    Chi Square ( χ 2 ) Method, supplied by Minitab Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/chi-square+%28%CF%87+2+%29+method/pmc11074029-172-0-8?v=Minitab+Inc
    Average 90 stars, based on 1 article reviews
    chi-square ( χ 2 ) method - by Bioz Stars, 2026-07
    90/100 stars

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    Two curated data <t>sources</t> <t>(DrugBank</t> and <t>CTD)</t> and two computational methods (Chi2 and BITOLA) were selected to compare against the performance of our approach on AD drug identifications. DrugBank and CTD manually curated database content about disease-modifying gene/proteins and drugs. Chi2 is a baseline system using commonly Chi-square statistical method to identify significant co-occurring drug-disease relationships cited in PubMed abstracts. BITOLA (Biomedical Discovery Support System) is a computational system based on natural language processing that can extract drug-protein relation in a disease context. The histogram shows sensitivity, specificity, PPV (positive predictive value), F-score, and ACC (accuracy) of each group. These performance measurements are defined in the section.
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    Two curated data sources (DrugBank and CTD) and two computational methods (Chi2 and BITOLA) were selected to compare against the performance of our approach on AD drug identifications. DrugBank and CTD manually curated database content about disease-modifying gene/proteins and drugs. Chi2 is a baseline system using commonly Chi-square statistical method to identify significant co-occurring drug-disease relationships cited in PubMed abstracts. BITOLA (Biomedical Discovery Support System) is a computational system based on natural language processing that can extract drug-protein relation in a disease context. The histogram shows sensitivity, specificity, PPV (positive predictive value), F-score, and ACC (accuracy) of each group. These performance measurements are defined in the section.

    Journal: PLoS Computational Biology

    Article Title: Building Disease-Specific Drug-Protein Connectivity Maps from Molecular Interaction Networks and PubMed Abstracts

    doi: 10.1371/journal.pcbi.1000450

    Figure Lengend Snippet: Two curated data sources (DrugBank and CTD) and two computational methods (Chi2 and BITOLA) were selected to compare against the performance of our approach on AD drug identifications. DrugBank and CTD manually curated database content about disease-modifying gene/proteins and drugs. Chi2 is a baseline system using commonly Chi-square statistical method to identify significant co-occurring drug-disease relationships cited in PubMed abstracts. BITOLA (Biomedical Discovery Support System) is a computational system based on natural language processing that can extract drug-protein relation in a disease context. The histogram shows sensitivity, specificity, PPV (positive predictive value), F-score, and ACC (accuracy) of each group. These performance measurements are defined in the section.

    Article Snippet: The four systems that we compared includes: DrugBank , CTD (the Comparative Toxicogenomics Database) , a baseline system using the common Chi-square (χ 2 ) method , and BITOLA (Biomedical Discovery Support System) .

    Techniques: