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BACKGROUND In order to find novel noninvasive biomarkers with high accuracy for the screening of early-stage non-small cell lung cancer (NSCLC), we investigate the predictive power of 5 microRNAs (miR-20a, miR-145, miR-21, miR223 and miR-221) as potential biomarkers in early-stage NSCLC. METHODS In training set, 25 early-stage NSCLC patients and 25(More)
Lung cancer ranks as the most common type of cancer in males worldwide. Although great advances have been achieved in chemotherapy and radiotherapy, the long-term survival rate of lung cancer patients has not improved significantly. Dissemination of lung cancer in the thoracic cavity and metastatic spread to the liver, bone and brain are characteristic of(More)
With the progress of semiconductor technologies and the advent of multi-core processor, parallel programming models are evolving and the education is needed to help sequential programmers adapt to the requirements of those new technologies and architectures. Now multi-core related contents have been adopted into curricula syllabus of more than 100(More)
Increasing evidence suggests that cancer stem cells (CSCs) are a key occurrence in the process of many human cancers. Lung cancer is the most common aggressive malignancy and cause of cancer death worldwide. The research on lung cancer stem cells has been highlighted for many years. Lung CSCs seem to play a major role in lung cancer metastasis, drug(More)
In regenerative tissues, one of the strategies to protect stem cells from genetic aberrations, potentially caused by frequent cell division, is to transiently expand the stem cell daughters before further differentiation. However, failure to exit the transit amplification may lead to overgrowth, and the molecular mechanism governing this regulation remains(More)
Sometimes it is quite difficult for traditional clustering algorithms to find useful clusters in large data base (DB), because that each cluster may be different with each other on their shape, size, and density and so on. Here the paper provides a novel efficient algorithm named SLPPCA (stem-leaf-point plot clustering algorithm) which is a good solution to(More)
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