B
Balu Bhasuran
Researcher at Bharathiar University
Publications - 15
Citations - 194
Balu Bhasuran is an academic researcher from Bharathiar University. The author has contributed to research in topics: Biomedical text mining & Computer science. The author has an hindex of 7, co-authored 10 publications receiving 113 citations.
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Automatic extraction of gene-disease associations from literature using joint ensemble learning
TL;DR: The presented novel approach combining rich syntax and semantic feature set with domain-specific word embedding through ensemble support vector machines evaluated on four gold standard corpora can act as a new baseline for future works in gene-disease relation extraction from literature.
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Stacked ensemble combined with fuzzy matching for biomedical named entity recognition of diseases.
TL;DR: A stacked ensemble approach combined with fuzzy matching for biomedical named entity recognition of disease names and fuzzy string matching to tag rare disease names from the authors' in-house disease dictionary is implemented.
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The Potential role of Procyanidin as a Therapeutic Agent against SARS-CoV-2: A Text Mining, Molecular Docking and Molecular Dynamics Simulation Approach
TL;DR: Text mining and named entity recognition method are used to identify co-occurrence of the important COVID 19 genes/proteins in the interaction network based on the frequency of the interaction and confirm the affinity of procyanidin towards the critical receptors.
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BCC-NER: bidirectional, contextual clues named entity tagger for gene/protein mention recognition.
TL;DR: This paper describes the hybrid named entity tagging approach namely BCC-NER (bidirectional, contextual clues named entity tagger for gene/protein mention recognition), which achieves a precision of 89.95, which is higher than the other currently available open source taggers.
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Genomic analysis of RNA-Seq and sRNA-Seq data identifies potential regulatory sRNAs and their functional roles in Staphylococcus aureus.
TL;DR: A whole-genome sRNA-gene network for drug-resistant S. aureus is developed by subjecting public expression-profiles to a novel analysis pipeline and novel associations between transcriptional-regulators and sRNAs have been mined resulting in some insights into the association between RNAIII and RsaA.