Generation of explicit rules predicting neuroblastoma patients’ outcome
نویسندگان
چکیده
Davide Cangelosi1, Fabiola Blengio, Rogier Versteeg2, Angelika Eggert3, Alberto Garaventa4, Claudio Gambini5, Massimo Conte4, Alessandra Eva1, Luigi Varesio1 1Laboratory of Molecular Biology, Gaslini Institute, Genoa, Italy 2Department of Human Genetics, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands 3Department of Pediatric Oncology and Hematology, University Children’s Hospital Essen, Essen 4Department of Hematology-Oncology, Gaslini Institute, Genoa, Italy 5Departments of Pediatric Pathology, Gaslini Institute, Genoa, Italy
منابع مشابه
Comparison of the Initial Treatment Results of N-myc Positive and N-myc Negative Neuroblastoma Patients
Background: Neuroblastoma is the most common extra cranial malignant solid tumor of childhood. Various molecular and cytogenetic factors have been implicated in the pathogenesis of neuroblastoma, some of which have proven useful in predicting clinical behavior. Over expression of the oncogen N-myc, is an important indicator of prognosis. Materials and Methods: Our study was performed from 20...
متن کاملPREDICTING URBAN TRIP GENERATION USING A FUZZY EXPERT SYSTEM
One of the most important stages in the urban transportation planning procedure is predicting the rate of trips generated by each trac zone. Currently, multiple linear regression models are frequently used as a prediction tool. This method predicts the number of trips produced from, or attracted to each trac zone according to the values of independent variables for that zone. One of the main li...
متن کاملStudy of the Association between Congenital Heart Defects and Neuroblastoma in Abdominal Sonography
Abstract Background A higher prevalence of congenital heart defects (CHD) in neuroblastoma patients in general population is reported in some publications, however, some authors did not find such an association. The evidence for this relation comes from the observation that, the neural crest cells accompany to the development of the heart and neuroblastoma as well. Materials and Methods We...
متن کاملPredicting Implantation Outcome of In Vitro Fertilization and Intracytoplasmic Sperm Injection Using Data Mining Techniques
Objective The main purpose of this article is to choose the best predictive model for IVF/ICSI classification and to calculate the probability of IVF/ICSI success for each couple using Artificial intelligence. Also, we aimed to find the most effective factors for prediction of ART success in infertile couples. MaterialsAndMethods In this cross-sectional study, the data of 486 patients are colle...
متن کاملTranslating expression profiling into a clinically feasible test to predict neuroblastoma outcome.
PURPOSE To assess the feasibility of predicting neuroblastoma outcome using highly parallel quantitative real-time PCR data. EXPERIMENTAL DESIGN We generated expression profiles of 63 neuroblastoma patients, 47 of which were analyzed by both Affymetrix U95A microarrays and highly parallel real-time PCR on microfluidic cards (MFC; Applied Biosystems). Top-ranked genes discriminating patients w...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2012