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Articles by Z. Guo
Total Records ( 3 ) for Z. Guo
  M Zhang , L Zhang , J Zou , C Yao , H Xiao , Q Liu , J Wang , D Wang , C Wang and Z. Guo
 

Motivation: According to current consistency metrics such as percentage of overlapping genes (POG), lists of differentially expressed genes (DEGs) detected from different microarray studies for a complex disease are often highly inconsistent. This irreproducibility problem also exists in other high-throughput post-genomic areas such as proteomics and metabolism. A complex disease is often characterized with many coordinated molecular changes, which should be considered when evaluating the reproducibility of discovery lists from different studies.

Results: We proposed metrics percentage of overlapping genes-related (POGR) and normalized POGR (nPOGR) to evaluate the consistency between two DEG lists for a complex disease, considering correlated molecular changes rather than only counting gene overlaps between the lists. Based on microarray datasets of three diseases, we showed that though the POG scores for DEG lists from different studies for each disease are extremely low, the POGR and nPOGR scores can be rather high, suggesting that the apparently inconsistent DEG lists may be highly reproducible in the sense that they are actually significantly correlated. Observing different discovery results for a disease by the POGR and nPOGR scores will obviously reduce the uncertainty of the microarray studies. The proposed metrics could also be applicable in many other high-throughput post-genomic areas.

  H. Zuo , Z. Shi , X. Hu , M. Wu , Z. Guo and A. Hussain
  Not available
  Z. Guo , Z. Xu , F. Wang and B. Huang
  Call drop out is one of the most annoying problems in mobile communications. Over the years, many strategies have been proposed to solve the problem of call drop out, but it is still prevalent. One of the important reasons for call drop outs is high Bit Error Rate (BER). In this study, our intent is to reduce the call drop out by decreasing the BER based on Empirical Mode Decomposition (EMD). Thereafter, we introduce a new signal processing subsystem at the receiver section to decrease BER and thereby improve the end-to-end performance of the system. Our simulation is valid specifically for Code Division Multiple Access (CDMA) with QPSK modulation, although it can be extended to any cellular network. Our simulation proves that the new signal processing subsystem improves the BER performance.
 
 
 
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