Microarray-Based Cancer Diagnosis with Artificial Neural Networks
نویسندگان
چکیده
منابع مشابه
Microarray-based cancer diagnosis with artificial neural networks.
In recent years, the advent of experimental methods to probe gene expression profiles of cancer on a genome-wide scale has led to widespread use of supervised machine learning algorithms to characterize these profiles. The main applications of these analysis methods range from assigning functional classes of previously uncharacterized genes to classification and prediction of different cancer t...
متن کاملbiomarker discovery based on hybrid optimization algorithm and artificial neural networks on microarray data for cancer classification
the improvement of high-through-put gene profiling based microarrays technology has provided monitoring the expression value of thousands of genes simultaneously. detailed examination of changes in expression levels of genes can help physicians to have effi cient diagnosing, classification of tumors and cancer’s types as well as effective treatments. finding genes that can classify the group of...
متن کاملA DWT and SVM based method for rolling element bearing fault diagnosis and its comparison with Artificial Neural Networks
A classification technique using Support Vector Machine (SVM) classifier for detection of rolling element bearing fault is presented here. The SVM was fed from features that were extracted from of vibration signals obtained from experimental setup consisting of rotating driveline that was mounted on rolling element bearings which were run in normal and with artificially faults induced conditio...
متن کاملArtificial neural networks versus bivariate logistic regression in prediction diagnosis of patients with hypertension and diabetes
Background: Diabetes and hypertension are important non-communicable diseases and their prevalence is important for health authorities. The aim of this study was to determine the predictive precision of the bivariate Logistic Regression (LR) and Artificial Neutral Network (ANN) in concurrent diagnosis of diabetes and hypertension. Methods: This cross-sectional study was performed with 12000 ...
متن کاملArtificial Neural Networks in the Diagnosis of Prostate Cancer
Methods for diagnosing prostate cancer suffer seriously from the problem of false-negative and false-positive results. In this study, we attempted to determine whether a special case of Artificial Neural Networks, Multi-Layer Perceptrons >1@ >2@ >3@, would improve the diagnosis of prostate cancer by minimizing the false-negative and false-positive rates. We trained several MLPs to predict biops...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BioTechniques
سال: 2003
ISSN: 0736-6205,1940-9818
DOI: 10.2144/mar03ringner