| Sliced human cortical organoids for modeling distinct cortical layer formation X Qian, Y Su, CD Adam, AU Deutschmann, SR Pather, EM Goldberg, ... Cell stem cell 26 (5), 766-781. e9, 2020 | 321 | 2020 |
| Accurate feature selection improves single-cell RNA-seq cell clustering K Su, T Yu, H Wu Briefings in bioinformatics 22 (5), bbab034, 2021 | 37 | 2021 |
| A multi-use deep learning method for CITE-seq and single-cell RNA-seq data integration with cell surface protein prediction and imputation J Lakkis, A Schroeder, K Su, MYY Lee, AC Bashore, MP Reilly, M Li Nature machine intelligence 4 (11), 940-952, 2022 | 31 | 2022 |
| Evaluation of some aspects in supervised cell type identification for single-cell RNA-seq: classifier, feature selection, and reference construction W Ma, K Su, H Wu Genome biology 22, 1-23, 2021 | 28 | 2021 |
| Leveraging information in spatial transcriptomics to predict super-resolution gene expression from histology images in tumors M Pang, K Su, M Li BioRxiv, 2021.11. 28.470212, 2021 | 26 | 2021 |
| Pan-cancer analysis of pathway-based gene expression pattern at the individual level reveals biomarkers of clinical prognosis K Su, Q Yu, R Shen, SY Sun, CS Moreno, X Li, ZS Qin Cell reports methods 1 (4), 2021 | 24 | 2021 |
| NetAct: a computational platform to construct core transcription factor regulatory networks using gene activity K Su, A Katebi, V Kohar, B Clauss, D Gordin, ZS Qin, RKM Karuturi, S Li, ... Genome biology 23 (1), 270, 2022 | 17 | 2022 |
| Simulation, power evaluation and sample size recommendation for single-cell RNA-seq K Su, Z Wu, H Wu Bioinformatics 36 (19), 4860-4868, 2020 | 16 | 2020 |
| Non-linear normalization for non-UMI single cell RNA-Seq Z Wu, K Su, H Wu Frontiers in Genetics 12, 612670, 2021 | 3 | 2021 |
| Cell type-specific DNA methylome signatures reveal epigenetic mechanisms for neuronal diversity and neurodevelopmental disorder Y Jin, K Su, HE Kong, W Ma, Z Wang, Y Li, R Li, EG Allen, H Wu, P Jin Human Molecular Genetics 32 (2), 218-230, 2023 | 2 | 2023 |
| HOPE2Net: Integrating histological features and position embeddings in spatially resolved transcriptomics to predict gene expression and pathway activities from histology … K Su, M Pang, M Li Cancer Research 82 (12_Supplement), 1218-1218, 2022 | | 2022 |
| The FEAST User’s Guide K Su, H Wu dim (Y) 1 (19304), 124, 0 | | |
Hao WuDistinguished Professor, Shenzhen Institute of Advanced Technology, CASVerified email at siat.ac.cn
