E-LIB Suche - Ergebnisse für: Li, Chao-Yue

1

Angiographic Characteristics of Cerebral Perfusion and Hemo..:

Zhang, Kun ; Ren, Wei ; Sun, Yu-Xue...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239480/. , 2022

Link: http://www.ncbi.nlm.nih...

2

Lobeline shows protective effects against MPTP-induced dopa..:

LI, CHAO-YUE ; ZHAO, LI-MING ; SHI, XI-WEN.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3881066. , 2014

Link: http://www.ncbi.nlm.nih...

3

SGCNCMI: A New Model Combining Multi-Modal Information to P..:

Yu, Chang-Qing ; Wang, Xin-Fei ; Li, Li-Ping...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9495879/. , 2022

Link: http://www.ncbi.nlm.nih...

4

SAWRPI: A Stacking Ensemble Framework With Adaptive Weight ..:

Ren, Zhong-Hao ; Yu, Chang-Qing ; Li, Li-Ping...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963817/. , 2022

Link: http://www.ncbi.nlm.nih...

5

KGDCMI: A New Approach for Predicting circRNA–miRNA Interac..:

Wang, Xin-Fei ; Yu, Chang-Qing ; Li, Li-Ping...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9426772/. , 2022

Link: http://www.ncbi.nlm.nih...

6

LPIH2V: LncRNA-protein interactions prediction using HIN2Ve..:

Meng-Meng Wei ; Chang-Qing Yu ; Li-Ping Li...
https://www.frontiersin.org/articles/10.3389/fgene.2023.1122909/full. , 2023

Link: https://doi.org/10.3389/..

7

KGDCMI: A New Approach for Predicting circRNA–miRNA Interac..:

Xin-Fei Wang ; Chang-Qing Yu ; Li-Ping Li...
https://www.frontiersin.org/articles/10.3389/fgene.2022.958096/full. , 2022

Link: https://doi.org/10.3389/..

8

The regulation of PEPCK isoforms is the potential reason fo..:

Chao-Yue Li ; Hao-Tian Chen ; Yuan-Qi Guo...
http://www.sciencedirect.com/science/article/pii/S2352513422000837. , 2022

Link: https://doi.org/10.1016/..

9

Angiographic Characteristics of Cerebral Perfusion and Hemo..:

Kun Zhang ; Wei Ren ; Yu-Xue Sun...
https://www.frontiersin.org/articles/10.3389/fnins.2022.922482/full. , 2022

Link: https://doi.org/10.3389/..

10

DataSheet1_SAWRPI: A Stacking Ensemble Framework With Adapt..:

Zhong-Hao Ren ; Chang-Qing Yu ; Li-Ping Li...
doi:10.3389/fgene.2022.839540.s001. , 2022

Link: https://doi.org/10.3389/..

11

BNEMDI: A Novel MicroRNA–Drug Interaction Prediction Model ..:

Yong-Jian Guan ; Chang-Qing Yu ; Li-Ping Li...
https://www.frontiersin.org/articles/10.3389/fgene.2022.919264/full. , 2022

Link: https://doi.org/10.3389/..

12

MFIDMA: A Multiple Information Integration Model for the Pr..:

Yong-Jian Guan ; Chang-Qing Yu ; Yan Qiao...
Bioinformatics. , 2022

Link: https://doi.org/10.3390/..

13

MFIDMA: A Multiple Information Integration Model for the Pr..:

Yong-Jian Guan ; Chang-Qing Yu ; Yan Qiao...
https://www.mdpi.com/2079-7737/12/1/41. , 2022

Link: https://doi.org/10.3390/..

14

SAWRPI: A Stacking Ensemble Framework With Adaptive Weight ..:

Zhong-Hao Ren ; Chang-Qing Yu ; Li-Ping Li...
https://www.frontiersin.org/articles/10.3389/fgene.2022.839540/full. , 2022

Link: https://doi.org/10.3389/..

15

SGCNCMI: A New Model Combining Multi-Modal Information to P..:

Chang-Qing Yu ; Xin-Fei Wang ; Li-Ping Li...
https://www.mdpi.com/2079-7737/11/9/1350. , 2022

Link: https://doi.org/10.3390/..