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Accurately predicting the risk of cancer recurrence and metastasis is critical to cancer individualized treatment. Currently, physicians commonly use histological grade, which is determined by pathologists via performing a semi-quantitative analysis of three histological and cytological features on Hematoxylin-Eosin (HE) stained histopathological images, to assess the prognosis of a breast cancer...
In this paper, recognizing human actions has been investigated from video sequences. With morphological gradient and pooling operation, invariant shape of each human body in an action sequence is obtained. Edge feature of invariant shape is extracted to represent human actions. Pyramid Histograms of Orientation Gradients (PHOG) of all invariant shapes in video are averaged to form a feature vector...
In the pathway of helper T-cell immunity, the exogenous antigen is firstly degraded into short peptides, and then some peptides can be bond to certain major histocompatibility class II (MHC-II) molecule to develop peptide-MHC complex, finally immune response is activated once receptors on helper T-cell recognize the complex. These binding peptides is named as `helper T-cell epitopes', and they can...
The prediction of B-cell epitopes is of great importance for computer acid vaccine design and immunodiagnostic test. Although it is said that a large majority of B-cell epitopes are conformational, experimental epitope identification has focused primarily on linear B-cell epitopes. A number of computational methods have been developed for the prediction of linear B-cell epitopes, but few of them can...
The prediction of MHC-II binding peptides has long been a principal challenge in immunology. Recently, the modeling of MHC-II binding peptides has come to emphasize quantitative prediction, instead of categorizing peptides as no-binder or high-binder and moderate-binder. In this paper, we develop a support vector machine regression's (SVR) approach to predict MHC-II binding peptides. Considering global...
In clinical applications, such as breast cancer prognosis, many classical factors are generally considered not to be sufficient for our need. Along with micro-arrays have had a great impact on cancer research in the past decade, new and more powerful gene biomarkers are discovered. And advanced prognostic index are still called for yet. In another way, currently many classification method/strategy,...
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