Zobrazeno 1 - 10
of 400
pro vyhledávání: '"Chen Ming-shun"'
Publikováno v:
BMC Medical Genomics, Vol 6, Iss Suppl 1, p S3 (2013)
Abstract Background One of the challenges in classification of cancer tissue samples based on gene expression data is to establish an effective method that can select a parsimonious set of informative genes. The Top Scoring Pair (TSP), k-Top Scoring
Externí odkaz:
https://doaj.org/article/a5557fb934a34ac9bc1520f4c750ca7e
Autor:
Hu, Yue, Zhang, Lu, Wen, Qing-hui, Cheng, Xin-peng, Zhou, Li-qiang, Chen, Ming-shun, Ke, Dai-wei, Tu, Zong-cai
Publikováno v:
In International Journal of Biological Macromolecules July 2024 273 Part 2
Autor:
Hu, Yue, Zhang, Lu, Wei, Lin-feng, Lu, Fei-yan, Wang, Le-huai, Ding, Qiao, Chen, Ming-shun, Tu, Zong-cai
Publikováno v:
In International Journal of Biological Macromolecules 31 December 2023 253 Part 7
Publikováno v:
BMC Bioinformatics, Vol 13, Iss 1, p 298 (2012)
Abstract Background Even though the classification of cancer tissue samples based on gene expression data has advanced considerably in recent years, it faces great challenges to improve accuracy. One of the challenges is to establish an effective met
Externí odkaz:
https://doaj.org/article/ce0c7b3188d14f84ab7980c8aaae3370
Akademický článek
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Akademický článek
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Autor:
Shukle Richard H, Zhao Huixian, Yang Ziheng, Liu Xuming, Chen Ming-Shun, Stuart Jeffrey J, Hulbert Scot
Publikováno v:
BMC Evolutionary Biology, Vol 10, Iss 1, p 296 (2010)
Abstract Background In most protein-coding genes, greater sequence variation is observed in noncoding regions (introns and untranslated regions) than in coding regions due to selective constraints. During characterization of genes and transcripts enc
Externí odkaz:
https://doaj.org/article/79bb3bfb9071412d819d819115569caa
Autor:
Fellers John P, Chen Ming-Shun, Zhao Chaoyang, Gill Navdeep, Benatti Thiago R, Aggarwal Rajat, Schemerhorn Brandon J, Stuart Jeff J
Publikováno v:
BMC Genomics, Vol 10, Iss 1, p 293 (2009)
Abstract Background The Hessian fly (Mayetiola destructor) is an important insect pest of wheat. It has tractable genetics, polytene chromosomes, and a small genome (158 Mb). Investigation of the Hessian fly presents excellent opportunities to study
Externí odkaz:
https://doaj.org/article/def5360db525491b841ef71e907d79f7
Autor:
Crespo Andre LB, Yao Jianxiu, Higgins Randall A, Buschman Lawrent L, Chen Ming-Shun, Zhu Yu, Khajuria Chitvan, Siegfried Blair D, Muthukrishnan Subbaratnam, Zhu Kun
Publikováno v:
BMC Genomics, Vol 10, Iss 1, p 286 (2009)
Abstract Background Lepidoptera represents more than 160,000 insect species which include some of the most devastating pests of crops, forests, and stored products. However, the genomic information on lepidopteran insects is very limited. Only a few
Externí odkaz:
https://doaj.org/article/f6bb6c0075b74a5f829279fdec0395a5
Autor:
Chen Ming-Shun, Aggarwal Rajat, Behura Susanta K, Lobo Neil F, Collins Frank H, Stuart Jeff J
Publikováno v:
BMC Genomics, Vol 7, Iss 1, p 7 (2006)
Abstract Background To have an insight into the Mayetiola destructor (Hessian fly) genome, we performed an in silico comparative genomic analysis utilizing genetic mapping, genomic sequence and EST sequence data along with data available from public
Externí odkaz:
https://doaj.org/article/1fe4264321c4434dac97a258d7854885