no code implementations • 25 Nov 2022 • Jucai Zhai, Pengcheng Zeng, Chihao Ma, Yong Zhao, Jie Chen
The proposed method consists of a learnable blur kernel to estimate the defocus map, which is an unsupervised method, and a single-image defocus deblurring generative adversarial network (DefocusGAN) for the first time.
no code implementations • 19 May 2022 • Pengcheng Zeng, Zhixiang Lin
Modern high-throughput sequencing technologies have enabled us to profile multiple molecular modalities from the same single cell, providing unprecedented opportunities to assay celluar heterogeneity from multiple biological layers.
1 code implementation • 29 Mar 2020 • Pengcheng Zeng, Zhixiang Lin
The recent advances in single-cell technologies have enabled us to profile genomic features at unprecedented resolution and datasets from multiple domains are available, including datasets that profile different types of genomic features and datasets that profile the same type of genomic features across different species.