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Background Cancer is a complex disease which is characterized by the accumulation of genetic alterations during the patient’s lifetime. With the development of the next-generation sequencing technology, multiple omics data, such as cancer genomic, epigenomic and transcriptomic data etc., can be measured from each individual. Correspondingly, one of the key challenges is to pinpoint functional driver...
In this paper, we presented a network-based method, named DriverFinder, by filtering frequently mutated genes just because of their large size, and comparing tumor expression with normal expression data to obtain gene expression outliers which are more likely to be cancer genes. Then greedy algorithm was applied to prioritize candidate driver genes. The proposed method can not only indentify frequently...
This paper develops a multi-antibody array biochip for detection of different-grade bladder cancer cell lysates based on protein expression level. Two nanoprobes modified with antibodies, Galectin-1 (Gal-1) and Lactate Dehydrogenase B (LDH-B), were immobilized in an array manner by sequent DEP manipulation steps including focusing, guiding and trapping, therefore, two different protein levels can...
A growing body of evidence suggests that glioma stem-like cells are more representative of their parent tumours when cultured under defined serum-free conditions with the mitogens epidermal growth factor (EGF) and fibroblast growth factor (FGF). However, culturing these cells as free-floating spheroids can result in difficulty in efficiently deriving and propagating cell lines. We have combined neurosphere...
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