Cui Z - Search Results

1

Computational prediction and characterization of cell-type-specific and shared binding sites.

Zhang Q, Teng P, Wang S, He Y, Cui Z, Guo Z, Liu Y, Yuan C, Liu Q, Huang DS. Zhang Q, et al. Among authors: cui z. Bioinformatics. 2023 Jan 1;39(1):btac798. doi: 10.1093/bioinformatics/btac798. Bioinformatics. 2023. PMID: 36484687 Free PMC article.

2

RMSCNN: A Random Multi-Scale Convolutional Neural Network for Marine Microbial Bacteriocins Identification.

Cui Z, Chen ZH, Zhang QH, Gribova V, Filaretov VF, Huang DS. Cui Z, et al. IEEE/ACM Trans Comput Biol Bioinform. 2022 Nov-Dec;19(6):3663-3672. doi: 10.1109/TCBB.2021.3122183. Epub 2022 Dec 8. IEEE/ACM Trans Comput Biol Bioinform. 2022. PMID: 34699364

3

Base-resolution prediction of transcription factor binding signals by a deep learning framework.

Zhang Q, He Y, Wang S, Chen Z, Guo Z, Cui Z, Liu Q, Huang DS. Zhang Q, et al. Among authors: cui z. PLoS Comput Biol. 2022 Mar 9;18(3):e1009941. doi: 10.1371/journal.pcbi.1009941. eCollection 2022 Mar. PLoS Comput Biol. 2022. PMID: 35263332 Free PMC article.

4

Predicting the Sequence Specificities of DNA-Binding Proteins by DNA Fine-Tuned Language Model With Decaying Learning Rates.

He Y, Zhang Q, Wang S, Chen Z, Cui Z, Guo ZH, Huang DS. He Y, et al. Among authors: cui z. IEEE/ACM Trans Comput Biol Bioinform. 2023 Jan-Feb;20(1):616-624. doi: 10.1109/TCBB.2022.3165592. Epub 2023 Feb 3. IEEE/ACM Trans Comput Biol Bioinform. 2023. PMID: 35389869

5

DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes.

Wang S, Zhang Q, He Y, Cui Z, Guo Z, Han K, Huang DS. Wang S, et al. Among authors: cui z. PLoS Comput Biol. 2022 Oct 7;18(10):e1010572. doi: 10.1371/journal.pcbi.1010572. eCollection 2022 Oct. PLoS Comput Biol. 2022. PMID: 36206320 Free PMC article.

6

DeepTPpred: A Deep Learning Approach With Matrix Factorization for Predicting Therapeutic Peptides by Integrating Length Information.

Cui Z, Wang SG, He Y, Chen ZH, Zhang QH. Cui Z, et al. IEEE J Biomed Health Inform. 2023 Sep;27(9):4611-4622. doi: 10.1109/JBHI.2023.3290014. Epub 2023 Sep 6. IEEE J Biomed Health Inform. 2023. PMID: 37368803

7

The computational prediction of drug-disease interactions using the dual-network L_2,1-CMF method.

Cui Z, Gao YL, Liu JX, Wang J, Shang J, Dai LY. Cui Z, et al. BMC Bioinformatics. 2019 Jan 5;20(1):5. doi: 10.1186/s12859-018-2575-6. BMC Bioinformatics. 2019. PMID: 30611214 Free PMC article.

8

NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations.

Gao YL, Cui Z, Liu JX, Wang J, Zheng CH. Gao YL, et al. Among authors: cui z. BMC Bioinformatics. 2019 Jun 24;20(1):353. doi: 10.1186/s12859-019-2956-5. BMC Bioinformatics. 2019. PMID: 31234797 Free PMC article.

9

DSCMF: prediction of LncRNA-disease associations based on dual sparse collaborative matrix factorization.

Liu JX, Gao MM, Cui Z, Gao YL, Li F. Liu JX, et al. Among authors: cui z. BMC Bioinformatics. 2021 May 12;22(Suppl 3):241. doi: 10.1186/s12859-020-03868-w. BMC Bioinformatics. 2021. PMID: 33980147 Free PMC article.

10

L_2,1-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions.

Cui Z, Gao YL, Liu JX, Dai LY, Yuan SS. Cui Z, et al. BMC Bioinformatics. 2019 Jun 10;20(Suppl 8):287. doi: 10.1186/s12859-019-2768-7. BMC Bioinformatics. 2019. PMID: 31182006 Free PMC article.

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