Supervised machine learning is a branch of artificial intelligence concerned with
automatically inducing predictive models from labeled data. Such learning approaches are …

Background: We participated in three of the protein-protein interaction subtasks of the
Second BioCreative Challenge: classification of abstracts relevant for protein-protein …

In Biomedical research, retrieving documents that match an interesting query is a task
performed quite frequently. Typically, the set of obtained results is extensive containing …

This paper proposes a novel solution to spam detection inspired by a model of the adaptive
immune system known as the cross-regulation model. We report on the testing of a …

Background Protein-protein interaction (PPI) is an important biomedical phenomenon.
Automatically detecting PPI-relevant articles and identifying methods that are used to study …

We propose a novel bio-inspired solution for biomedical article classification. Our method
draws from an existing model of T-cell cross-regulation in the vertebrate immune system (IS) …

Over millions of years, the vertebrate immune system has evolved into one of the most
complex and intelligent biological systems. The immune system's function is to protect the …

Proteomics & Bioinformatics Page 1 Volume 4(11) : 250-259 (2011) - 250 J Proteomics
Bioinform ISSN:0974-276X JPB, an open access journal Research Article Open Access Kafkas …

In Biomedical research, the ability to retrieve the adequate information from the ever growing
literature is an extremely important asset. This work provides an enhanced and general …

At the beginning of the twenty-first century, critical reforms were outlined in biology. This was
due to the fact that the increase of information garnered from the sequences of informational …