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The emergence of multi-dimensional data offers opportunities for more comprehensive analysis of the molecular characteristics of human diseases and therefore improving diagnosis, treatment, and prevention. In this study, we proposed a heterogeneous network based method by integrating multi-dimensional data (HNMD) to identify GBM-related genes. The novelty of the method lies in that the multi-dimensional...
In this paper we study the design of LDPC decoding scheme for very high throughput optical communications for a full self-seeded optical architecture dedicated to cloud radio access network (C-RAN). The objective of this paper is to demonstrate the potentiality of Bit Flipping (BF) algorithms. It is shown that the Gradient Descent Bit Flipping (GDBF) algorithm with a little improvement is suitable...
In view of the Beidou satellite signal acquisition takes up hardware resources and consumes time, double-stages compression sensing acquire method is putted forward combined with the advantages of compressed sensing in data mining. The sparsity of Beidou signal in correlation domain is used to structure transformation matrix while the Walsh-Hadamard matrix was used to reconstruct signal. The method...
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