Gut metagenomes of type 2 diabetic patients have characteristic single-nucleotide polymorphism distribution in Bacteroides coprocola Y Chen, Z Li, S Hu, J Zhang, J Wu, N Shao, X Bo, M Ni, X Ying Microbiome 5, 1-7, 2017 | 50 | 2017 |
Transcriptional response profiles of paired tumor-normal samples offer novel perspectives in pan-cancer analysis S Hu, H Yuan, Z Li, J Zhang, J Wu, Y Chen, Q Shi, W Ren, N Shao, X Ying Oncotarget 8 (25), 41334, 2017 | 29 | 2017 |
BCIP: a gene-centered platform for identifying potential regulatory genes in breast cancer J Wu, S Hu, Y Chen, Z Li, J Zhang, H Yuan, Q Shi, N Shao, X Ying Scientific reports 7 (1), 45235, 2017 | 22 | 2017 |
Transcriptome alterations in liver metastases of colorectal cancer after acquired resistance to cetuximab Z Li, Y Chen, WU Ren, S Hu, Z Tan, Y Wang, Y Chen, J Zhang, J Wu, T Li, ... Cancer genomics & proteomics 16 (3), 207-219, 2019 | 14 | 2019 |
Integrative analysis of protein-coding and non-coding RNAs identifies clinically relevant subtypes of clear cell renal cell carcinoma Z Li, Y Chen, S Hu, J Zhang, J Wu, W Ren, N Shao, X Ying Oncotarget 7 (50), 82671, 2016 | 13 | 2016 |
MetaLogo: a heterogeneity-aware sequence logo generator and aligner Y Chen, Z He, Y Men, G Dong, S Hu, X Ying Briefings in Bioinformatics 23 (2), bbab591, 2022 | 9 | 2022 |
Comprehensive strain-level analysis of the gut microbe Faecalibacterium prausnitzii in patients with liver cirrhosis Y Chen, P Liu, R Liu, S Hu, Z He, G Dong, C Feng, S An, X Ying Msystems 6 (4), 10.1128/msystems. 00775-21, 2021 | 4 | 2021 |
Towards strain-level complexity: Sequencing depth required for comprehensive single-nucleotide polymorphism analysis of the human gut microbiome P Liu, S Hu, Z He, C Feng, G Dong, S An, R Liu, F Xu, Y Chen, X Ying Frontiers in Microbiology 13, 828254, 2022 | 1 | 2022 |
scDAC: deep adaptive clustering of single-cell transcriptomic data with coupled autoencoder and dirichlet process mixture model S An, J Shi, R Liu, Y Chen, J Wang, S Hu, X Xia, G Dong, X Bo, Z He, ... Bioinformatics 40 (4), btae198, 2024 | | 2024 |
Mosaic integration and knowledge transfer of single-cell multimodal data with MIDAS Z He, S Hu, Y Chen, S An, J Zhou, R Liu, J Shi, J Wang, G Dong, J Shi, ... Nature Biotechnology, 1-12, 2024 | | 2024 |
MIDAS: a deep generative model for mosaic integration and knowledge transfer of single-cell multimodal data Z He, Y Chen, S Hu, S An, J Shi, R Liu, J Zhou, G Dong, J Shi, J Zhao, ... bioRxiv, 2022.12. 13.520262, 2022 | | 2022 |