E-LIB Suche - Ergebnisse für: Zhang, Zhongnan

1

Ectoine hyperproduction by engineered Halomonas bluephagene..:

Hu, Qitiao ; Sun, Simian ; Zhang, Zhongnan...
Metabolic Engineering. 82 (2024) - p. 238-249 , 2024

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

2

Engineering low-salt growth Halomonas Bluephagenesis for co..:

Zhang, Lizhan ; Lin, Yina ; Yi, Xueqing...
Metabolic Engineering. 79 (2023) - p. 146-158 , 2023

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

3

MoSCHG: Multi-omics Single-cell Classification based on Het..:

, In: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM),

Chen, Xinjian ; Xie, Chenyang ; Zhang, Yunhao... - p. 835-840 , 2023

Link: https://doi.org/10.1109/..

4

HSGCL-DTA: Hybrid-scale Graph Contrastive Learning based Dr..:

, In: 2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI),

Ye, Hongyan ; Song, Yingying ; Wang, Binyu... - p. 947-954 , 2023

Link: https://doi.org/10.1109/..

5

Drug-target and Drug-disease Association Prediction based o..:

, In: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM),

Wang, Binyu ; Zhang, Yunhao ; Ye, Hongyan... - p. 930-935 , 2023

Link: https://doi.org/10.1109/..

6

Deep Learning‐Based Multiomics Data Integration Methods for..:

Wen, Yuqi ; Zheng, Linyi ; Leng, Dongjin...
Advanced Intelligent Systems. 5 (2023) 5 - p. , 2023

Link: https://doi.org/10.1002/..

7

Dispersion Characteristics of the Multi-mode Fiber-fed VIPA..:

Zhu, Xiaoming ; Lin, Dong ; Zhang, Zhongnan..
The Astronomical Journal. 165 (2023) 6 - p. 228 , 2023

Link: https://doi.org/10.3847/..

8

MOCSS: Multi-omics data clustering and cancer subtyping via..:

Chen, Yuxin ; Wen, Yuqi ; Xie, Chenyang...
iScience. 26 (2023) 8 - p. 107378 , 2023

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

9

Unsupervised continual learning of single-cell clustering b..:

, In: 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM),

Ke, Peng ; Xiang, Shuke ; Xie, Chenyang... - p. 3031-3038 , 2022

Link: https://doi.org/10.1109/..

10

DTI-HETA: prediction of drug–target interactions based on G..:

Shao, Kanghao ; Zhang, Yunhao ; Wen, Yuqi...
Briefings in Bioinformatics. 23 (2022) 3 - p. , 2022

Link: https://doi.org/10.1093/..

11

A benchmark study of deep learning-based multi-omics data f..:

Leng, Dongjin ; Zheng, Linyi ; Wen, Yuqi...
Genome Biology. 23 (2022) 1 - p. , 2022

Link: https://doi.org/10.1186/..

12

Effective production of Poly(3-hydroxybutyrate-co-4-hydroxy..:

Zhang, Lizhan ; Ye, Jian-Wen ; Zhang, Xu...
Bioresource Technology. 355 (2022) - p. 127270 , 2022

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

13

NegStacking: Drug−Target Interaction Prediction Based on En..:

Yang, Jie ; He, Song ; Zhang, Zhongnan.
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18 (2021) 6 - p. 2624-2634 , 2021

Link: https://doi.org/10.1109/..

14

A Metagraph-Based Model for Predicting Drug-Target Interact..:

, In: Lecture Notes in Computer Science; Artificial Neural Networks and Machine Learning – ICANN 2021,

Ke, Peng ; Wen, Yuqi ; Zhang, Zhongnan.. - p. 465-476 , 2021

Link: https://doi.org/10.1007/..

15

Unsupervised Ensemble Learning with Noisy Label Correction:

, In: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval,

Zou, Xupeng ; Zhang, Zhongnan ; He, Zhen. - p. 2308-2312 , 2021

Link: https://dl.acm.org/doi/1..