Ju Y - Search Results

1

Accurate Identification of Cancerlectins through Hybrid Machine Learning Technology.

Zhang J, Ju Y, Lu H, Xuan P, Zou Q. Zhang J, et al. Among authors: ju y. Int J Genomics. 2016;2016:7604641. doi: 10.1155/2016/7604641. Epub 2016 Jul 13. Int J Genomics. 2016. PMID: 27478823 Free PMC article.

2

Prediction of MicroRNA-Disease Associations Based on Social Network Analysis Methods.

Zou Q, Li J, Hong Q, Lin Z, Wu Y, Shi H, Ju Y. Zou Q, et al. Among authors: ju y. Biomed Res Int. 2015;2015:810514. doi: 10.1155/2015/810514. Epub 2015 Jul 26. Biomed Res Int. 2015. PMID: 26273645 Free PMC article.

3

Identification of Multi-Functional Enzyme with Multi-Label Classifier.

Che Y, Ju Y, Xuan P, Long R, Xing F. Che Y, et al. Among authors: ju y. PLoS One. 2016 Apr 14;11(4):e0153503. doi: 10.1371/journal.pone.0153503. eCollection 2016. PLoS One. 2016. PMID: 27078147 Free PMC article.

4

Improving tRNAscan-SE Annotation Results via Ensemble Classifiers.

Zou Q, Guo J, Ju Y, Wu M, Zeng X, Hong Z. Zou Q, et al. Among authors: ju y. Mol Inform. 2015 Nov;34(11-12):761-70. doi: 10.1002/minf.201500031. Epub 2015 Sep 14. Mol Inform. 2015. PMID: 27491037

5

Prediction of G Protein-Coupled Receptors with SVM-Prot Features and Random Forest.

Liao Z, Ju Y, Zou Q. Liao Z, et al. Among authors: ju y. Scientifica (Cairo). 2016;2016:8309253. doi: 10.1155/2016/8309253. Epub 2016 Jul 27. Scientifica (Cairo). 2016. PMID: 27529053 Free PMC article.

6

In Silico Prediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT Approaches.

Liao Z, Huang Y, Yue X, Lu H, Xuan P, Ju Y. Liao Z, et al. Among authors: ju y. Biomed Res Int. 2016;2016:2375268. doi: 10.1155/2016/2375268. Epub 2016 Aug 8. Biomed Res Int. 2016. PMID: 27579307 Free PMC article.

7

Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy.

Zou Q, Wan S, Ju Y, Tang J, Zeng X. Zou Q, et al. Among authors: ju y. BMC Syst Biol. 2016 Dec 23;10(Suppl 4):114. doi: 10.1186/s12918-016-0353-5. BMC Syst Biol. 2016. PMID: 28155714 Free PMC article.

8

Sc-ncDNAPred: A Sequence-Based Predictor for Identifying Non-coding DNA in Saccharomyces cerevisiae.

He W, Ju Y, Zeng X, Liu X, Zou Q. He W, et al. Among authors: ju y. Front Microbiol. 2018 Sep 12;9:2174. doi: 10.3389/fmicb.2018.02174. eCollection 2018. Front Microbiol. 2018. PMID: 30258427 Free PMC article.

9

Predicting Diabetes Mellitus With Machine Learning Techniques.

Zou Q, Qu K, Luo Y, Yin D, Ju Y, Tang H. Zou Q, et al. Among authors: ju y. Front Genet. 2018 Nov 6;9:515. doi: 10.3389/fgene.2018.00515. eCollection 2018. Front Genet. 2018. PMID: 30459809 Free PMC article.

10

DeepAc4C: a convolutional neural network model with hybrid features composed of physicochemical patterns and distributed representation information for identification of N4-acetylcytidine in mRNA.

Wang C, Ju Y, Zou Q, Lin C. Wang C, et al. Among authors: ju y. Bioinformatics. 2021 Dec 22;38(1):52-57. doi: 10.1093/bioinformatics/btab611. Bioinformatics. 2021. PMID: 34427581

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