title: Ingenuity in pattern recognition: a novel bioinformatics approach towards lung cancer identification.
abstract: Lung cancer is the significant contributor of increased cancer deaths. Earlier research indicates that the environmental factors have a major role in causing lung cancer. It is evident that the pathway of lung cancer includes both RAS-mediated and non-RAS-mediated mechanisms. Clinical findings point to a wide variety of other cancers contributing to lung cancer incidence. Such a scenario makes identification of lung cancer difficult and thus identifying its mechanisms can contribute to the society. Our study involves the RAS subfamily that includes a set of proteins, which cause an over expression of cancer-causing genes like M-ras and initiate tumour formation in lungs.
authors.affiliation: BioAxis DNA Research Centre Pvt. Ltd., Hyderabad 500017, Andhra Pradesh, India. jayant@dnares.in
authors.forename: Jayant
authors.initials: J
authors.lastname: Mishra
authors.forename: Amit
authors.initials: A
authors.lastname: Kumar
authors.forename: Amita
authors.initials: A
authors.lastname: Sinha
authors.forename: Silpa
authors.initials: S
authors.lastname: Das
mesh_terms: D000818:Animals; D019295:Computational Biology / Q000379:methods*; D011905:Genes, ras; D006801:Humans; D008175:Lung Neoplasms / Q000235:genetics*; D010363:Pattern Recognition, Automated / Q000379:methods