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Yanju Zhang

Showing results (51-60 of 62) with videos related to

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Briefings in Bioinformatics|October 24, 2018
Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning frameworkYanju Zhang, Ruopeng Xie, Jiawei Wang, et al.
Biomedicine & Pharmacotherapy = Biomedecine & Pharmacotherapie|November 16, 2017
CXCL6 promotes non-small cell lung cancer cell survival and metastasis via down-regulation of miR-515-5pJun Li, Zhiyuan Tang, Haiying Wang, et al.
International Journal of Molecular Sciences|October 23, 2021
Comparison of the Distinct, Host-Specific Response of Three <i>Solanaceae</i> Hosts Induced by <i>Phytophthora infestans</i>Jie Lu, Tingli Liu, Xiong Zhang, et al.
Frontiers in Pharmacology|March 3, 2022
Network Pharmacology and Molecular Docking Analysis on Molecular Mechanism of Qingzi Zhitong Decoction in the Treatment of Ulcerative ColitisXintian Shou, Yumeng Wang, Xuesong Zhang, et al.
Bioinformatics (Oxford, England)|August 9, 2019
PeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteinsYanju Zhang, Sha Yu, Ruopeng Xie, et al.
Bioinformatics (Oxford, England)|March 17, 2018
Bastion6: a bioinformatics approach for accurate prediction of type VI secreted effectorsJiawei Wang, Bingjiao Yang, André Leier, et al.
Nucleic Acids Research|October 21, 2020
BastionHub: a universal platform for integrating and analyzing substrates secreted by Gram-negative bacteriaJiawei Wang, Jiahui Li, Yi Hou, et al.
Bioinformatics (Oxford, England)|November 3, 2018
Bastion3: a two-layer ensemble predictor of type III secreted effectorsJiawei Wang, Jiahui Li, Bingjiao Yang, et al.
Msystems|May 27, 2021
Component Parts of Bacteriophage Virions Accurately Defined by a Machine-Learning Approach Built on Evolutionary FeaturesTze Y Thung, Murray E White, Wei Dai, et al.
Nature Communications|November 27, 2014
DNA methylation signatures link prenatal famine exposure to growth and metabolismElmar W Tobi, Jelle J Goeman, Ramin Monajemi, et al.
Pageof 7

Showing results (51-60 of 62) with videos related to

Sort By:
Pageof 7
Briefings in Bioinformatics|October 24, 2018
Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning frameworkYanju Zhang, Ruopeng Xie, Jiawei Wang, et al.
Biomedicine & Pharmacotherapy = Biomedecine & Pharmacotherapie|November 16, 2017
CXCL6 promotes non-small cell lung cancer cell survival and metastasis via down-regulation of miR-515-5pJun Li, Zhiyuan Tang, Haiying Wang, et al.
International Journal of Molecular Sciences|October 23, 2021
Comparison of the Distinct, Host-Specific Response of Three <i>Solanaceae</i> Hosts Induced by <i>Phytophthora infestans</i>Jie Lu, Tingli Liu, Xiong Zhang, et al.
Frontiers in Pharmacology|March 3, 2022
Network Pharmacology and Molecular Docking Analysis on Molecular Mechanism of Qingzi Zhitong Decoction in the Treatment of Ulcerative ColitisXintian Shou, Yumeng Wang, Xuesong Zhang, et al.
Bioinformatics (Oxford, England)|August 9, 2019
PeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteinsYanju Zhang, Sha Yu, Ruopeng Xie, et al.
Bioinformatics (Oxford, England)|March 17, 2018
Bastion6: a bioinformatics approach for accurate prediction of type VI secreted effectorsJiawei Wang, Bingjiao Yang, André Leier, et al.
Nucleic Acids Research|October 21, 2020
BastionHub: a universal platform for integrating and analyzing substrates secreted by Gram-negative bacteriaJiawei Wang, Jiahui Li, Yi Hou, et al.
Bioinformatics (Oxford, England)|November 3, 2018
Bastion3: a two-layer ensemble predictor of type III secreted effectorsJiawei Wang, Jiahui Li, Bingjiao Yang, et al.
Msystems|May 27, 2021
Component Parts of Bacteriophage Virions Accurately Defined by a Machine-Learning Approach Built on Evolutionary FeaturesTze Y Thung, Murray E White, Wei Dai, et al.
Nature Communications|November 27, 2014
DNA methylation signatures link prenatal famine exposure to growth and metabolismElmar W Tobi, Jelle J Goeman, Ramin Monajemi, et al.
Pageof 7