Zobrazeno 1 - 10
of 255
pro vyhledávání: '"Yang, Jack Y."'
Genome-wide prediction and analysis of human tissue-selective genes using microarray expression data
Publikováno v:
BMC Medical Genomics, Vol 6, Iss Suppl 1, p S10 (2013)
Abstract Background Understanding how genes are expressed specifically in particular tissues is a fundamental question in developmental biology. Many tissue-specific genes are involved in the pathogenesis of complex human diseases. However, experimen
Externí odkaz:
https://doaj.org/article/0f4a105e73a84f95ba33d407a8205f08
Autor:
Zhang Ke, Pirooznia Mehdi, Arabnia Hamid R, Yang Jack Y, Wang Liangjiang, Luo Zuojie, Deng Youping
Publikováno v:
BMC Genomics, Vol 12, Iss Suppl 5, p I1 (2011)
Abstract This is an editorial report of the supplement to BMC Genomics that includes 15 papers selected from the BIOCOMP'10 - The 2010 International Conference on Bioinformatics & Computational Biology as well as other sources with a focus on genomic
Externí odkaz:
https://doaj.org/article/e9bd24ac2b7a4ac59665ecb55286d3a3
Publikováno v:
BMC Genomics, Vol 11, Iss Suppl 3, p S15 (2010)
Abstract Background Significant interest exists in establishing radiologic imaging as a valid biomarker for assessing the response of cancer to a variety of treatments. To address this problem, we have chosen to study patients with metastatic colorec
Externí odkaz:
https://doaj.org/article/fe303309d156416783a5f7f96c109e59
Autor:
Yang Mary, Yang Jack Y, Chen Zhongxue, Qiao Mengyu, Sung Andrew H, Liu Qingzhong, Huang Xudong, Deng Youping
Publikováno v:
BMC Genomics, Vol 10, Iss Suppl 1, p S3 (2009)
Abstract Introduction In the classification of Mass Spectrometry (MS) proteomics data, peak detection, feature selection, and learning classifiers are critical to classification accuracy. To better understand which methods are more accurate when clas
Externí odkaz:
https://doaj.org/article/80999a5e759a4f0297ba32fcdbaf9cf2
Publikováno v:
BMC Genomics, Vol 10, Iss Suppl 1, p S2 (2009)
Abstract Background Gene expression time series array data has become a useful resource for investigating gene functions and the interactions between genes. However, the gene expression arrays are always mixed with noise, and many nonlinear regulator
Externí odkaz:
https://doaj.org/article/6c12b607a45d4c5a9a3a32599aa5d0e3
Autor:
Yang Mary, Yang Jack Y
Publikováno v:
BMC Genomics, Vol 9, Iss Suppl 2, p S8 (2008)
Abstract Background Many protein regions and some entire proteins have no definite tertiary structure, presenting instead as dynamic, disorder ensembles under different physiochemical circumstances. These proteins and regions are known as Intrinsical
Externí odkaz:
https://doaj.org/article/cd2599c9b0a64347ad8c86dedf6d4ad6
Publikováno v:
BMC Genomics, Vol 9, Iss Suppl 2, p S6 (2008)
Abstract Background Sudden death syndrome (SDS) of soybean (Glycine max L. Merr.) is an economically important disease, caused by the semi-biotrophic fungus Fusarium solani f. sp. glycines, recently renamed Fusarium virguliforme (Fv). Due to the comp
Externí odkaz:
https://doaj.org/article/0297c55b37cc4de6a9778567ba038ddd
Publikováno v:
BMC Genomics, Vol 9, Iss Suppl 2, p S11 (2008)
Abstract Microarray technology is widely applied to address complex scientific questions. However, there remain fundamental issues on how to design experiments to ensure that the resulting data enables robust statistical analysis. Interwoven loop des
Externí odkaz:
https://doaj.org/article/d1a0696e61ce4186b1d629d428fb2ee3
Autor:
Vacic Vladimir, Chen Jessica, Yang Jack Y, Romero Pedro, Meng Jingwei, Oldfield Christopher J, Dunker A Keith, Obradovic Zoran, Uversky Vladimir N
Publikováno v:
BMC Genomics, Vol 9, Iss Suppl 2, p S1 (2008)
Abstract Background Our first predictor of protein disorder was published just over a decade ago in the Proceedings of the IEEE International Conference on Neural Networks (Romero P, Obradovic Z, Kissinger C, Villafranca JE, Dunker AK (1997) Identify
Externí odkaz:
https://doaj.org/article/71e0f90c99e14a4985a96d7af701cea9
Publikováno v:
BMC Genomics, Vol 9, Iss Suppl 2, p S24 (2008)
Abstract Background Dimension reduction is a critical issue in the analysis of microarray data, because the high dimensionality of gene expression microarray data set hurts generalization performance of classifiers. It consists of two types of method
Externí odkaz:
https://doaj.org/article/fbbd6dc3617548a6bdd0f5ec1cbdf5a4