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Your search keyword '"Tang, Xu-Qing"' showing total 31 results
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31 results on '"Tang, Xu-Qing"'

2. Identification of Candidate Biomarkers and Pathways Associated with Liver Cancer by Bioinformatics Analysis

Author

Tian, Zhen-Bo, Tang, Xu-Qing, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Huang, De-Shuang, editor, Jo, Kang-Hyun, editor, and Huang, Zhi-Kai, editor

Published
2019
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5. Screening of Pathological Gene in Breast Cancer Based on Logistic Regression

Author

Zhao, Yun, Tang, Xu-Qing, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Huang, De-Shuang, editor, Jo, Kang-Hyun, editor, and Zhang, Xiao-Long, editor

Published
2018
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8. A New Representation Method of H1N1 Influenza Virus and Its Application

Author

Li, Wei-Wei, Li, Yang, Tang, Xu-Qing, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Huang, De-Shuang, editor, Jo, Kang-Hyun, editor, and Hussain, Abir, editor

Published
2015
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11. The Impacting Analysis on Multiple Species Competition

Author

Yan, Han-Bing, Tang, Xu-Qing, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Ciucci, Davide, editor, Inuiguchi, Masahiro, editor, Yao, Yiyu, editor, Ślęzak, Dominik, editor, and Wang, Guoyin, editor

Published
2013
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12. New Results on a Fuzzy Granular Space

Author

Tang, Xu-Qing, Zhang, Kun, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Tan, Ying, editor, Shi, Yuhui, editor, Chai, Yi, editor, and Wang, Guoyin, editor

Published
2011
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21. Method for determining optimal number of clusters in K-means clustering algorithm

Author

Zhou Shi-bing, Tang Xu-Qing, and Xu Zhen-Yuan

Subjects
DBSCAN, Clustering high-dimensional data, Fuzzy clustering, Computer science, business.industry, Correlation clustering, Single-linkage clustering, k-means clustering, Pattern recognition, Hierarchical clustering, Determining the number of clusters in a data set, ComputingMethodologies_PATTERNRECOGNITION, CURE data clustering algorithm, SUBCLU, Consensus clustering, Canopy clustering algorithm, FLAME clustering, Affinity propagation, Artificial intelligence, Hierarchical clustering of networks, Cluster analysis, business, k-medians clustering
Abstract

K-means clustering algorithm clusters datasets according to the certain clustering number k.However k cannot be confirmed beforehand.A new clustering validity index was designed from the standpoint of sample geometry.Based on the index a new method for determining the optimal clustering number in K-means clustering algorithm was proposed.Theoretical research and experimental results demonstrate the validity and good performance of the above-mentioned algorithm.

Published
2010

22. The structural analysis of protein sequences based on the quasi-amino acids code

Author

Zhu Ping, Xu Zhen-Yuan, and Tang Xu-Qing

Subjects
chemistry.chemical_classification, Code (set theory), Messenger RNA, chemistry, Algebraic operation, General Physics and Astronomy, Field (mathematics), Computational biology, Algebraic number, Genetic code, Stop codon, Amino acid, Mathematics
Abstract

Proteomics is the study of proteins and their interactions in a cell. With the successful completion of the Human Genome Project, it comes the postgenome era when the proteomics technology is emerging. This paper studies protein molecule from the algebraic point of view. The algebraic system (Σ, +, *) is introduced, where Σ is the set of 64 codons. According to the characteristics of (Σ, +, *), a novel quasi-amino acids code classification method is introduced and the corresponding algebraic operation table over the set ZU of the 16 kinds of quasi-amino acids is established. The internal relation is revealed about quasi-amino acids. The results show that there exist some very close correlations between the properties of the quasi-amino acids and the codon. All these correlation relationships may play an important part in establishing the logic relationship between codons and the quasi-amino acids during the course of life origination. According to Ma F et al (2003 J. Anhui Agricultural University 30 439), the corresponding relation and the excellent properties about amino acids code are very difficult to observe. The present paper shows that (ZU, ⊕, ⊗) is a field. Furthermore, the operational results display that the codon tga has different property from other stop codons. In fact, in the mitochondrion from human and ox genomic codon, tga is just tryptophane, is not the stop codon like in other genetic code, it is the case of the Chen W C et al (2002 Acta Biophysica Sinica 18(1) 87). The present theory avoids some inexplicable events of the 20 kinds of amino acids code, in other words it solves the problem of 'the 64 codon assignments of mRNA to amino acids is probably completely wrong' proposed by Yang (2006 Progress in Modern Biomedicine 6 3).

Published
2009

31. Clustering analysis on climate data of red-crowned crane breeding distribution area in Northeast China.

Author

PENG Li-tan, YAN Han-bing, and TANG Xu-qing

Subjects
CLUSTER analysis (Statistics), JAPANESE crane, BIRD breeding, BIRD migration, BIRD ecology, STATISTICAL correlation, BIRDS, CLIMATOLOGY
Abstract

Based on the five climatic factors such as monthly mean temperature, monthly mean maximum temperature, monthly average lowest temperature, the average monthly net radiation and the monthly mean precipitation in the breeding distribution area of the typical migratory species such as red-crowned crane in Northeast China from 1981 to 1990, this paper studied the characteristics analysis on the related climate data by using the theory and methods of interval statistics, hierarchical clustering based on normalization distance and clustering fusion technology. The results show that the most appropriate time in breeding habitat was May to September. The conclusion coincided with the biological characteristics and ecological characteristics of red-crowned crane in Northeast China. Extracting climatic factors from climate data was critical to the predictive distribution of species. The used climatic factors in the past mostly depended on the biological and ecological characteristics of species and the correlation analysis for climatic factors in the distribution area of species. Instead, this method only depended on climate data in the distribution area of the predictive species entirely, and it obtained data mining and data processing. This set of research methods possess generality and will provide basis for the research about the impact of future climate change on the predictive distribution of the migratory species in Northeast China. [ABSTRACT FROM AUTHOR]

Published
2014
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