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Comparative Hepatology
|
October 24, 2007
Establishment of an early liver fibrosis model by the hydrodynamics-based transfer of TGF-beta1 gene
Kun-Lin Yang, Kuo-Chen Hung, Wen-Teng Chang, et al.
Plos One
|
April 13, 2012
Identification of colorectal cancer related genes with mRMR and shortest path in protein-protein interaction network
Bi-Qing Li, Tao Huang, Lei Liu, et al.
Urology
|
March 11, 2006
Multifactorial nature of male nocturia
Shyh-Chyi Chang, Alex T L Lin, Kuang-Kuo Chen, et al.
Protein Engineering, Design & Selection : PEDS
|
August 18, 2004
Weighted-support vector machines for predicting membrane protein types based on pseudo-amino acid composition
Meng Wang, Jie Yang, Guo-Ping Liu, et al.
Journal of Computational Chemistry
|
February 4, 2010
Improving the accuracy of predicting disulfide connectivity by feature selection
Lin Zhu, Jie Yang, Jiang-Ning Song, et al.
Genomics
|
January 24, 2018
iDNA6mA-PseKNC: Identifying DNA N<sup>6</sup>-methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC
Pengmian Feng, Hui Yang, Hui Ding, et al.
Scientific Reports
|
January 20, 2018
A Novel Modeling in Mathematical Biology for Classification of Signal Peptides
Asma Ehsan, Khalid Mahmood, Yaser Daanial Khan, et al.
International Journal of Urology : Official Journal of the Japanese Urological Association
|
July 13, 2006
Superficial transitional cell carcinoma of the ureteral orifice: higher risk of developing subsequent upper urinary tract tumors
Eric Chieh-Lung Chou, Alex T Lin, Kuang-Kuo Chen, et al.
Computers in Biology and Medicine
|
October 19, 2010
The computational model to predict accurately inhibitory activity for inhibitors towards CYP3A4
Zhiyuan Xie, Tao Zhang, Jing-Fang Wang, et al.
International Journal of Molecular Sciences
|
May 27, 2014
iHyd-PseAAC: predicting hydroxyproline and hydroxylysine in proteins by incorporating dipeptide position-specific propensity into pseudo amino acid composition
Yan Xu, Xin Wen, Xiao-Jian Shao, et al.
Page
of 128
Search research articles
Search
Showing results (431-440 of 1,279) with videos related to
Sort By:
Page
of 128
Comparative Hepatology
|
October 24, 2007
Establishment of an early liver fibrosis model by the hydrodynamics-based transfer of TGF-beta1 gene
Kun-Lin Yang, Kuo-Chen Hung, Wen-Teng Chang, et al.
Plos One
|
April 13, 2012
Identification of colorectal cancer related genes with mRMR and shortest path in protein-protein interaction network
Bi-Qing Li, Tao Huang, Lei Liu, et al.
Urology
|
March 11, 2006
Multifactorial nature of male nocturia
Shyh-Chyi Chang, Alex T L Lin, Kuang-Kuo Chen, et al.
Protein Engineering, Design & Selection : PEDS
|
August 18, 2004
Weighted-support vector machines for predicting membrane protein types based on pseudo-amino acid composition
Meng Wang, Jie Yang, Guo-Ping Liu, et al.
Journal of Computational Chemistry
|
February 4, 2010
Improving the accuracy of predicting disulfide connectivity by feature selection
Lin Zhu, Jie Yang, Jiang-Ning Song, et al.
Genomics
|
January 24, 2018
iDNA6mA-PseKNC: Identifying DNA N<sup>6</sup>-methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC
Pengmian Feng, Hui Yang, Hui Ding, et al.
Scientific Reports
|
January 20, 2018
A Novel Modeling in Mathematical Biology for Classification of Signal Peptides
Asma Ehsan, Khalid Mahmood, Yaser Daanial Khan, et al.
International Journal of Urology : Official Journal of the Japanese Urological Association
|
July 13, 2006
Superficial transitional cell carcinoma of the ureteral orifice: higher risk of developing subsequent upper urinary tract tumors
Eric Chieh-Lung Chou, Alex T Lin, Kuang-Kuo Chen, et al.
Computers in Biology and Medicine
|
October 19, 2010
The computational model to predict accurately inhibitory activity for inhibitors towards CYP3A4
Zhiyuan Xie, Tao Zhang, Jing-Fang Wang, et al.
International Journal of Molecular Sciences
|
May 27, 2014
iHyd-PseAAC: predicting hydroxyproline and hydroxylysine in proteins by incorporating dipeptide position-specific propensity into pseudo amino acid composition
Yan Xu, Xin Wen, Xiao-Jian Shao, et al.
Page
of 128