Search Results for "machine learning for text classification java"

GNAT is a BioNLP/text mining tool to recognize and identify gene/protein names in natural language text. It will detect mentions of genes in text, such as PubMed/Medline abstracts, and disambiguate them to remove false positives and map them to the correct entry in the NCBI Entrez Gene database by gene ID. March 2017: We started to upload GNAT output on Medline. See files/results/medline/.

Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ...

Genetic variants alter cellular behavior in a variety of ways, changing biochemical properties of DNA, mRNA, and proteins. Many large-scale sequencing projects are under way to detect human variation in health and disease. Although broad disease associations can be discovered by GWAS studies, the low-level impact of mutations is hardly available in structured form. The results of thousands of small-scale experiments, on the other hand, are present in the literature and discuss observations...

Moara is a biological text mining tool and consists of a Java library and some auxiliary MySQL databases for gene/protein training and extraction of mentions and its further normalization and disambiguation.