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Toplam kayıt 7, listelenen: 1-7
Microrna Expression Prediction: Regression from Regulatory Elements
(2016)
MicroRNAs are known as important actors in post-transcriptional regulation and relevant biological processes. Their expression levels do not only provide information about their own activities but also implicitly explain ...
Sequence Analysis to Predict Microrna Chemotherapy Resistance
(2016)
Recent findings suggest that microRNAs play important role in resistance to certain chemotherapies. The knowledge of what microRNAs are potentially resistant to given chemotherapies is therefore a crucial knowledge on drug ...
Eliminating Rib Shadows in Chest Radiographic Images Providing Diagnostic Assistance
(2016)
A major difficulty with chest radiographic analysis is the invisibility of abnormalities caused by the superimposition of normal anatomical structures, such as ribs, over the main tissue to be examined. Suppressing the ...
Context-Sensitive Model Learning for Lung Nodule Detection
(2016)
Nodule detection in chest radiographs is a main component of current Computer Aided Diagnosis (CAD) systems. The problem is usually approached as a supervised classification task of candidate nodule segments. To this end, ...
Texture of Activities: Exploiting Local Binary Patterns for Accelerometer Data Analysis
(2016)
Recognition of activities through wearable sensors such as accelerometers is a recent challenge in pervasive and ubiquitous computing. The problem is often considered as a classification task where a set of descriptive ...
Integrating features for accelerometer-based activity recognition
(2016)
Activity recognition is the problem of predicting the current action of a person through the motion sensors worn on the body. The problem is usually approached as a supervised classification task where a discriminative ...