S
Stathis Kanterakis
Researcher at University of Pennsylvania
Publications - 12
Citations - 731
Stathis Kanterakis is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Population & Single-nucleotide polymorphism. The author has an hindex of 9, co-authored 12 publications receiving 699 citations. Previous affiliations of Stathis Kanterakis include Wistar Institute & Children's Hospital of Philadelphia.
Papers
More filters
Journal ArticleDOI
Combining multi-species genomic data for microRNA identification using a Naïve Bayes classifier
Malik Yousef,Michael Nebozhyn,Hagit Shatkay,Stathis Kanterakis,Louise C. Showe,Michael K. Showe +5 more
TL;DR: This study shows that the application of machine learning techniques, along with the integration of data from multiple species is a useful and general approach for miRNA gene prediction.
Journal ArticleDOI
Dietary curcumin increases antioxidant defenses in lung, ameliorates radiation-induced pulmonary fibrosis, and improves survival in mice.
James C. Lee,Paul Kinniry,Evguenia Arguiri,Matthew Serota,Stathis Kanterakis,Shampa Chatterjee,Charalambos C. Solomides,Prashanthi Javvadi,Constantinos Koumenis,Keith A. Cengel,Melpo Christofidou-Solomidou +10 more
TL;DR: Dietary curcumin ameliorates radiation-induced pulmonary fibrosis and increases mouse survival while not impairing tumor cell killing by radiation.
Journal ArticleDOI
Dietary flaxseed prevents radiation-induced oxidative lung damage, inflammation and fibrosis in a mouse model of thoracic radiation injury
James C. Lee,Ryan Krochak,Aaron Blouin,Stathis Kanterakis,Shampa Chatterjee,Evguenia Arguiri,Anil Vachani,Charalambos C. Solomides,Keith A. Cengel,Melpo Christofidou-Solomidou +9 more
TL;DR: It is suggested that dietary flaxseed may be clinically useful as an agent to increase the therapeutic index of thoracic XRT by increasing the radiation tolerance of lung tissues.
Book ChapterDOI
Measuring Brain Lesion Progression with a Supervised Tissue Classification System
TL;DR: A computer-assisted WML segmentation method, based on local features extracted from conventional multi-parametric Magnetic Resonance Imaging (MRI) sequences, that achieves consistent lesion segmentation in the 4D data facilitating the disease monitoring is presented.
Journal ArticleDOI
Association of the T300A non‐synonymous variant of the ATG16L1 gene with susceptibility to paediatric Crohn's disease
Robert N. Baldassano,Jonathan P. Bradfield,Dimitri S. Monos,Cecilia E. Kim,Joseph T. Glessner,Tracy Casalunovo,Edward C. Frackelton,F. George Otieno,Stathis Kanterakis,Julie L. Shaner,Ryan M. Smith,Andrew W. Eckert,Luke J. Robinson,Chioma C. Onyiah,Debra J. Abrams,Rosetta M. Chiavacci,Robert Skraban,Marcella Devoto,Struan F.A. Grant,Hakon Hakonarson +19 more
TL;DR: An important association was reported between Crohn’s disease and the autophagy-related 16-like 1 ( ATG16L1 ) gene and a common coding variant, rs2241880 (T300A), was shown to confer a strong risk for the disease, and this association was replicated in the same study in separate cohorts of patients with Crohn's disease but not with ulcerative colitis.