| Machine learning and statistical methods for clustering single-cell RNA-sequencing data R Petegrosso, Z Li, R Kuang Briefings in bioinformatics 21 (4), 1209-1223, 2020 | 180 | 2020 |
| Transfer learning across ontologies for phenome–genome association prediction R Petegrosso, S Park, TH Hwang, R Kuang Bioinformatics 33 (4), 529-536, 2017 | 45 | 2017 |
| A multitask clustering approach for single-cell RNA-seq analysis in recessive dystrophic epidermolysis bullosa H Zhang, CAA Lee, Z Li, JR Garbe, CR Eide, R Petegrosso, R Kuang, ... PLoS computational biology 14 (4), e1006053, 2018 | 40 | 2018 |
| Obesity-induced protein carbonylation in murine adipose tissue regulates the DNA-binding domain of nuclear zinc finger proteins AK Hauck, T Zhou, W Hahn, R Petegrosso, R Kuang, Y Chen, ... Journal of Biological Chemistry 293 (35), 13464-13476, 2018 | 23 | 2018 |
| A large-scale comparative study of isoform expressions measured on four platforms W Zhang, R Petegrosso, JW Chang, J Sun, J Yong, J Chien, R Kuang BMC genomics 21, 1-14, 2020 | 11 | 2020 |
| Scalable label propagation for multi-relational learning on the tensor product of graphs Z Li, R Petegrosso, S Smith, D Sterling, G Karypis, R Kuang IEEE Transactions on Knowledge and Data Engineering 34 (12), 5964-5978, 2021 | 9 | 2021 |
| Scalable remote homology detection and fold recognition in massive protein networks R Petegrosso, Z Li, MA Srour, Y Saad, W Zhang, R Kuang Proteins: Structure, Function, and Bioinformatics 87 (6), 478-491, 2019 | 6 | 2019 |
| Low-rank label propagation for semi-supervised learning with 100 millions samples R Petegrosso, W Zhang, Z Li, Y Saad, R Kuang arXiv preprint arXiv:1702.08884, 2017 | 3 | 2017 |
| Hierarchical canonical correlation analysis reveals phenotype, genotype, and geoclimate associations in plants R Petegrosso, T Song, R Kuang Plant Phenomics, 2020 | 1 | 2020 |
| AB/BA analysis: A framework for estimating keyword spotting recall improvement while maintaining audio privacy R Petegrosso, V Baderdinni, T Senechal, BL Bullough arXiv preprint arXiv:2204.08474, 2022 | | 2022 |
| Learning High-Order Relations for Network-Based Phenome-Genome Association Analysis R Petegrosso University of Minnesota, 2019 | | 2019 |
Zhuliu LiLinkedInVerified email at umn.edu
