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Cangzhi Jia

Showing results (1-10 of 51) with videos related to

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Scientific Reports|December 13, 2016
EnhancerPred: a predictor for discovering enhancers based on the combination and selection of multiple featuresCangzhi Jia, Wenying He
Methods in Molecular Biology (Clifton, N.J.)|March 15, 2018
Computational Prediction of Protein O-GlcNAc ModificationCangzhi Jia, Yun Zuo
Journal of Theoretical Biology|April 16, 2017
S-SulfPred: A sensitive predictor to capture S-sulfenylation sites based on a resampling one-sided selection undersampling-synthetic minority oversampling techniqueCangzhi Jia, Yun Zuo
Journal of Theoretical Biology|September 14, 2010
A high-accuracy protein structural class prediction algorithm using predicted secondary structural informationTian Liu, Cangzhi Jia
Molecular Biosystems|February 28, 2017
EnhancerPred2.0: predicting enhancers and their strength based on position-specific trinucleotide propensity and electron-ion interaction potential feature selectionWenying He, Cangzhi Jia
Briefings in Functional Genomics|June 24, 2024
Characterization of double-stranded RNA and its silencing efficiency for insects using hybrid deep-learning frameworkHan Cheng, Liping Xu, Cangzhi Jia
International Journal of Molecular Sciences|June 12, 2014
Prediction of protein S-nitrosylation sites based on adapted normal distribution bi-profile Bayes and Chou's pseudo amino acid compositionCangzhi Jia, Xin Lin, Zhiping Wang
Mathematical Biosciences and Engineering : MBE|May 10, 2023
An efficient deep learning based predictor for identifying miRNA-triggered phasiRNA loci in plantYuanyuan Bu, Jia Zheng, Cangzhi Jia
Mathematical Biosciences and Engineering : MBE|January 19, 2023
SPREAD: An ensemble predictor based on DNA autoencoder framework for discriminating promoters in <i>Pseudomonas aeruginosa</i>Shengming Zhou, Jia Zheng, Cangzhi Jia
Mathematical Biosciences|March 19, 2019
Prediction of aptamer-protein interacting pairs based on sparse autoencoder feature extraction and an ensemble classifierQing Yang, Cangzhi Jia, Taoying Li
Pageof 6

Showing results (1-10 of 51) with videos related to

Sort By:
Pageof 6
Scientific Reports|December 13, 2016
EnhancerPred: a predictor for discovering enhancers based on the combination and selection of multiple featuresCangzhi Jia, Wenying He
Methods in Molecular Biology (Clifton, N.J.)|March 15, 2018
Computational Prediction of Protein O-GlcNAc ModificationCangzhi Jia, Yun Zuo
Journal of Theoretical Biology|April 16, 2017
S-SulfPred: A sensitive predictor to capture S-sulfenylation sites based on a resampling one-sided selection undersampling-synthetic minority oversampling techniqueCangzhi Jia, Yun Zuo
Journal of Theoretical Biology|September 14, 2010
A high-accuracy protein structural class prediction algorithm using predicted secondary structural informationTian Liu, Cangzhi Jia
Molecular Biosystems|February 28, 2017
EnhancerPred2.0: predicting enhancers and their strength based on position-specific trinucleotide propensity and electron-ion interaction potential feature selectionWenying He, Cangzhi Jia
Briefings in Functional Genomics|June 24, 2024
Characterization of double-stranded RNA and its silencing efficiency for insects using hybrid deep-learning frameworkHan Cheng, Liping Xu, Cangzhi Jia
International Journal of Molecular Sciences|June 12, 2014
Prediction of protein S-nitrosylation sites based on adapted normal distribution bi-profile Bayes and Chou's pseudo amino acid compositionCangzhi Jia, Xin Lin, Zhiping Wang
Mathematical Biosciences and Engineering : MBE|May 10, 2023
An efficient deep learning based predictor for identifying miRNA-triggered phasiRNA loci in plantYuanyuan Bu, Jia Zheng, Cangzhi Jia
Mathematical Biosciences and Engineering : MBE|January 19, 2023
SPREAD: An ensemble predictor based on DNA autoencoder framework for discriminating promoters in <i>Pseudomonas aeruginosa</i>Shengming Zhou, Jia Zheng, Cangzhi Jia
Mathematical Biosciences|March 19, 2019
Prediction of aptamer-protein interacting pairs based on sparse autoencoder feature extraction and an ensemble classifierQing Yang, Cangzhi Jia, Taoying Li
Pageof 6