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Lei Cai
Publications
- 2021
- [j32]Chenyang Xu, Lei Cai, Jingyang Gao:
An efficient scRNA-seq dropout imputation method using graph attention network. BMC Bioinform. 22(1): 582 (2021) - [j31]Ruofei Bai, Cheng Ling, Lei Cai, Jingyang Gao:
Cnngeno: A high-precision deep learning based strategy for the calling of structural variation genotype. Comput. Biol. Chem. 94: 107417 (2021) - [c49]Yaoxian Lv, Lei Cai, Jingyang Gao:
IMDSVs: An integrated method based on machine learning and deep learning of calling structural variations from long-read data. ICCSE 2021: 1077-1080 - 2020
- [c42]Lei Cai, Yufeng Wu, Jingyang Gao:
scSNVIndel. accurate and efficient calling of SNVs and indels from single cell sequencing using integrated Bi-LSTM. BIBM 2020: 173-179 - [c38]Minghao Yu, Lei Cai, Liwei Gao, Jingyang Gao:
Amplification Method of Lung Nodule Data Based on DCGAN Generation Algorithm. ICPCSEE (1) 2020: 563-576 - 2019
- [j18]Lei Cai, Yufeng Wu, Jingyang Gao:
DeepSV: accurate calling of genomic deletions from high-throughput sequencing data using deep convolutional neural network. BMC Bioinform. 20(1): 665 (2019) - 2017
- [j6]Lei Cai, Chong Chu, Xiaodong Zhang, Yufeng Wu, Jingyang Gao:
Concod: an effective integration framework of consensus-based calling deletions from next-generation sequencing data. Int. J. Data Min. Bioinform. 17(2): 153-172 (2017)
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