Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Cooperation of local features and global representations by a dual-branch network for transcription factor binding sites prediction.

Y. Yu, P. Ding, H. Gao, G. Liu, F. Zhang, and B. Yu. Briefings Bioinform., (March 2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Qi-Fa Ye

Zhang Zhang

Tai-Fa Young

Fa-Shi Chen

Fa-Chung Chen

Other publications of authors with the same name

Energy Efficient Scheduling Based on Marginal Cost and Task Grouping in Data Centers.K. Ji, C. Chi, A. Marahatta, F. Zhang, and Z. Liu. e-Energy, page 482-488. ACM, (2020)Crowd Evacuation During Slashing Terrorist Attack: A Multi-Agent Simulation Approach.F. Zhang, S. Wu, and Z. Song. WSC, page 206-217. IEEE, (2020)A Transfer Learning-Based Classification Model for Particle Pruning in Cryo-Electron Microscopy.H. Li, G. Chen, S. Gao, J. Li, X. Wan, and F. Zhang. J. Comput. Biol., 29 (10): 1117-1131 (2022)Civilian Characteristics and Casualties Of Terrorist Attacks in Public Places.F. Zhang, W. Song-Chun, and S. Zhi-Hua. ICCMS, page 109-114. ACM, (2020)Multi-labelled proteins recognition for high-throughput microscopy images using deep convolutional neural networks.E. Zhang, B. Zhang, S. Hu, F. Zhang, Z. Liu, and X. Wan. BMC Bioinform., 22-S (3): 327 (2021)Noise-Transfer2Clean: denoising cryo-EM images based on noise modeling and transfer.H. Li, H. Zhang, X. Wan, Z. Yang, C. Li, J. Li, R. Han, P. Zhu, and F. Zhang. Bioinform., 38 (7): 2022-2029 (2022)Predicting Tumor Mutational Burden from Liver Cancer Pathological Images Using Convolutional Neural Network.H. Zhang, F. Zhang, F. Ren, Z. Wang, X. Rao, L. Li, J. Hao, R. Yan, J. Luo, and M. Du. BIBM, page 920-925. IEEE, (2019)NANet: Nuclei-Aware Network for Grading of Breast Cancer in HE Stained Pathological Images.R. Yan, J. Li, X. Rao, Z. Lv, C. Zheng, J. Dou, X. Wang, F. Ren, and F. Zhang. BIBM, page 865-870. IEEE, (2020)SegET: Deep Neural Network with Rich Contextual Features for Cellular Structures Segmentation in Electron Tomography Image.E. Zhang, F. Zhang, Z. Liu, X. Wan, and L. Zhu. CoRR, (2018)An improvement method based on OrthoMCL by adding the domain information.X. Que, F. Zhang, S. Feng, B. Yuan, and Z. Liu. BIOCOMP, page 418-423. CSREA Press, (2008)

BibSonomy

Disambiguation of "Zhang, Fa"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Cooperation of local features and global representations by a dual-branch network for transcription factor binding sites prediction.

Please choose a person to relate this publication to

Qi-Fa Ye

Zhang Zhang

Tai-Fa Young

Fa-Shi Chen

Fa-Chung Chen

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhang, Fa"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Cooperation of local features and global representations by a dual-branch network for transcription factor binding sites prediction.

Please choose a person to relate this publication to

Qi-Fa Ye

Zhang Zhang

Tai-Fa Young

Fa-Shi Chen

Fa-Chung Chen

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Cooperation of local features and global representations by a dual-branch network for transcription factor binding sites prediction.