Self-supervised contrastive learning for integrative single cell RNA-seq data analysis W Han, Y Cheng, J Chen, H Zhong, Z Hu, S Chen, L Zong, I King, X Gao, ... Briefings in Bioinformatics 23 (5), 2022 | 47 | 2022 |
Deep autoencoder for interpretable tissue-adaptive deconvolution and cell-type-specific gene analysis Y Chen, Y Wang, Y Chen, Y Cheng, Y Wei, Y Li, J Wang, Y Wei, TF Chan, ... Nature Communications 13 (1), 6735, 2022 | 40 | 2022 |
A scalable sparse neural network framework for rare cell type annotation of single-cell transcriptome data Y Cheng, X Fan, J Zhang, Y Li Communications Biology 6 (1), 545, 2023 | 8 | 2023 |
scNovel: a scalable deep learning-based network for novel rare cell discovery in single-cell transcriptomics C Zheng, Y Wang, Y Cheng, X Wang, H Wei, I King, Y Li Briefings in Bioinformatics 25 (3), bbae112, 2024 | | 2024 |
Single Cell Multi-Omic Analysis Reveals Tumor Heterogeneity in Castration Resistant Prostate Cancer Y Cheng Weill Medical College of Cornell University, 2022 | | 2022 |