نتایج جستجو برای: recurrence prediction
تعداد نتایج: 337559 فیلتر نتایج به سال:
Colorectal cancer can be grouped into Dukes A, B, C, and D stages based on its developments. Generally speaking, more advanced patients have poorer prognosis. To integrate progression stage prediction systems with recurrence prediction systems, we proposed an ensemble prognostic model for colorectal cancer. In this model, each patient was assigned a most possible stage and a most possible recur...
We consider new algorithms for the solution of many dynamic programming recurrences for sequence comparison and for RNA secondary structure prediction. The techniques upon which the algorithms are based effectively exploit the physical constraints of the problem to derive more efficient methods for sequence analysis.
Accurate prediction of pseudoknotted RNA secondary structure is an important computational challenge. Typical prediction algorithms aim to find a structure with minimum free energy according to some thermodynamic (“sum of loop energies”) model that is implicit in the recurrences of the algorithm. However, a clear definition of what exactly are the loops and stems in pseudoknotted structures, an...
Patient’s condition description consists of combination and changes of clinical measures. Conventional data processing methods and classification algorithms may reduce the prediction performance of clinical data.Inorder to improve the accuracy of clinical data outcome prediction by using feature selection method with multiple measurement support vector machine(MMSVM) classification algorithm is...
Background and Aim: Basal cell carcinoma (BCC) is considered to be the most common malignancy in humans and occurs primarily in the skin especially in the head and neck region. Considering the high recurrence rate of the tumor, finding a marker for prediction of recurrence is very important. Cancer stem cells are a small subpopulation in the tumors that are related to tumorigenesis and recurren...
While computational RNA secondary structure prediction is an important tool in RNA research, it is still fundamentally limited to pseudoknot-free structures (or at best very simple pseudoknots) in practice. Here, we make the prediction of complex pseudoknots – including kissing hairpin structures – practically applicable by reducing the originally high space consumption. For this aim, we apply ...
Regional lymph node (LN) metastasis has a significant impact for prediction of recurrence in patients with papillary thyroid cancers (PTC); however, the prognostic value of the lymph node ratio (LNR), which is defined as the ratio of the number of metastatic LNs to the total number of investigated LNs, is controversial. In this study, we determined the optimal cut-off values of LNRs for the pre...
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