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|Interface||Web user interface|
|Restrictions to use||None|
- Homo sapiens
Publication for BITOLA
Large Scale Structure of a Network of Co Occurring MeSH Terms: Statistical Analysis of Macroscopic Properties
[…] ding researchers with more relevant and interpretable knowledge. A plethora of applications have been developed exploiting co-occurrence for mining interesting patterns in biomedical resources (e.g., BITOLA , iHOP , AliBaba , EBIMed , FACTA , PLAN2L , STRING , LAITOR ).Analyzing big relational datasets requires innovative methodological approaches beyond the basic exploratory mining. Recent years […]
Candidate Gene Identification for Systemic Lupus Erythematosus Using Network Centrality Measures and Gene Ontology
[…] interpro domains, and gene expression data. ToppGene uses functional annotations, protein interaction networks to prioritize disease specific genes. Different tools like Polysearch , MimMiner , and BITOLA relies on biological data mining. Posmed, a computational based approach prioritizes candidate genes using an inferential process similar to artificial neural network comprising documentrons . […]
Identifying hypothetical genetic influences on complex disease phenotypes
[…] of text features. For instance, POCUS  uses GO terms together with InterPro domains to find candidate gene interactions; Endeavour  and NARADA  use common GO terms to define gene networks; and BITOLA  uses MeSH terms as concepts that are related to genes by co-occurrence. Other tools that use text mining, such as PDQ Wizard  use co-occurrence of genes in the literature to infer relation […]
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