| Prevalence, awareness, treatment, and control of hypertension in China: data from 1ˇ 7 million adults in a population-based screening study (China PEACE Million Persons Project) J Lu, Y Lu, X Wang, X Li, GC Linderman, C Wu, X Cheng, L Mu, H Zhang, ... The Lancet 390 (10112), 2549-2558, 2017 | 841 | 2017 |
| Fast interpolation-based t-SNE for improved visualization of single-cell RNA-seq data GC Linderman, M Rachh, JG Hoskins, S Steinerberger, Y Kluger Nature Methods 16 (3), 243-245, 2019 | 358 | 2019 |
| Clustering with t-SNE, provably GC Linderman, S Steinerberger SIAM Journal on Mathematics of Data Science 1 (2), 313-332, 2019 | 172 | 2019 |
| Initialization is critical for preserving global data structure in both t-SNE and UMAP D Kobak, GC Linderman Nature Biotechnology 39 (2), 156-157, 2021 | 166* | 2021 |
| Single-cell connectomic analysis of adult mammalian lungs MSB Raredon, TS Adams, Y Suhail, JC Schupp, S Poli, N Neumark, ... Science Advances 5 (12), eaaw3851, 2019 | 140 | 2019 |
| Association of body mass index with blood pressure among 1.7 million Chinese adults GC Linderman, J Lu, Y Lu, X Sun, W Xu, K Nasir, W Schulz, L Jiang, ... JAMA Network Open 1 (4), e181271-e181271, 2018 | 109 | 2018 |
| Zero-preserving imputation of scRNA-seq data using low-rank approximation GC Linderman, J Zhao, Y Kluger BioRxiv, 397588, 2018 | 97* | 2018 |
| Single-cell analysis reveals a hair follicle dermal niche molecular differentiation trajectory that begins prior to morphogenesis K Gupta, J Levinsohn, G Linderman, D Chen, TY Sun, D Dong, ... Developmental Cell 48 (1), 17-31. e6, 2019 | 66 | 2019 |
| Efficient algorithms for t-distributed stochastic neighborhood embedding GC Linderman, M Rachh, JG Hoskins, S Steinerberger, Y Kluger arXiv preprint arXiv:1712.09005, 2017 | 64 | 2017 |
| Algorithm 971: An implementation of a randomized algorithm for principal component analysis H Li, GC Linderman, A Szlam, KP Stanton, Y Kluger, M Tygert ACM Transactions on Mathematical Software (TOMS) 43 (3), 1-14, 2017 | 60 | 2017 |
| 3-D stent detection in intravascular OCT using a Bayesian network and graph search Z Wang, MW Jenkins, GC Linderman, HG Bezerra, Y Fujino, MA Costa, ... IEEE transactions on medical imaging 34 (7), 1549-1561, 2015 | 54 | 2015 |
| Zero-preserving imputation of single-cell RNA-seq data GC Linderman, J Zhao, M Roulis, P Bielecki, RA Flavell, B Nadler, ... Nature Communications 13 (1), 1-11, 2022 | 40 | 2022 |
| The proximal humeral ossification system improves assessment of maturity in patients with scoliosis DT Li, GC Linderman, JJ Cui, S DeVries, AD Nicholson, E Li, L Petit, ... JBJS 101 (20), 1868-1874, 2019 | 32 | 2019 |
| Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations D Kobak, G Linderman, S Steinerberger, Y Kluger, P Berens Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020 | 27 | 2020 |
| Numerical integration on graphs: where to sample and how to weigh G Linderman, S Steinerberger Mathematics of computation 89 (324), 1933-1952, 2020 | 18 | 2020 |
| Randomized near-neighbor graphs, giant components and applications in data science A Jaffe, Y Kluger, GC Linderman, G Mishne, S Steinerberger Journal of applied probability 57 (2), 458-476, 2020 | 15 | 2020 |
| Magnet: Microarray gene expression and network evaluation toolkit GC Linderman, MR Chance, G Bebek Nucleic Acids Research 40 (W1), W152-W156, 2012 | 15 | 2012 |
| Dimensionality reduction of single-cell RNA-seq data GC Linderman RNA Bioinformatics, 331-342, 2021 | 6 | 2021 |
| Protocol for project recovery after cardiac surgery: a single-center cohort study leveraging digital platform to characterise longitudinal patient-reported postoperative … M Mori, C Brooks, E Spatz, BJ Mortazavi, SS Dhruva, GC Linderman, ... BMJ open 10 (9), e036959, 2020 | 4 | 2020 |
| BiC: a web server for calculating bimodality of coexpression between gene and protein networks GC Linderman, VN Patel, MR Chance, G Bebek Bioinformatics 27 (8), 1174-1175, 2011 | 3 | 2011 |
