| Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding AB Rosenberg, CM Roco, RA Muscat, A Kuchina, P Sample, Z Yao, ... Science 360 (6385), 176-182, 2018 | 1331 | 2018 |
| Meta-analysis of the Alzheimer’s disease human brain transcriptome and functional dissection in mouse models YW Wan, R Al-Ouran, CG Mangleburg, TM Perumal, TV Lee, K Allison, ... Cell reports 32 (2), 2020 | 267* | 2020 |
| Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regions SK Sieberts, TM Perumal, MM Carrasquillo, M Allen, JS Reddy, ... Scientific data 7 (1), 340, 2020 | 94 | 2020 |
| privGAN: Protecting GANs from membership inference attacks at low cost to utility S Mukherjee, Y Xu, A Trivedi, N Patowary, JL Ferres Proceedings on Privacy Enhancing Technologies, 2021 | 80* | 2021 |
| Building temperature control: A passivity-based approach S Mukherjee, S Mishra, JT Wen 2012 IEEE 51st IEEE conference on decision and control (CDC), 6902-6907, 2012 | 64 | 2012 |
| Molecular estimation of neurodegeneration pseudotime in older brains S Mukherjee, L Heath, C Preuss, S Jayadev, GA Garden, AK Greenwood, ... Nature communications 11 (1), 5781, 2020 | 42 | 2020 |
| Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary JF Rajotte, S Mukherjee, C Robinson, A Ortiz, C West, JML Ferres, RT Ng Proceedings of the conference on information Technology for Social Good, 79-84, 2021 | 40 | 2021 |
| A pedestrian-centered data approach for equitable access to urban infrastructure environments N Bolten, S Mukherjee, V Sipeeva, A Tanweer, A Caspi IBM Journal of Research and Development 61 (6), 10: 1-10: 12, 2017 | 35 | 2017 |
| Building temperature control with adaptive feedforward JT Wen, S Mishra, S Mukherjee, N Tantisujjatham, M Minakais 52nd IEEE Conference on Decision and Control, 4827-4832, 2013 | 30 | 2013 |
| Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge S Mukherjee*, Y Zhang*, J Fan, G Seelig, S Kannan Bioinformatics 34 (13), i124-i132, 2018 | 25* | 2018 |
| Continuous order identification of PHWR models under step-back for the design of hyper-damped power tracking controller with enhanced reactor safety S Das, S Mukherjee, S Das, I Pan, A Gupta Nuclear Engineering and Design 257, 109-127, 2013 | 23 | 2013 |
| Becoming good at AI for good M Kshirsagar, C Robinson, S Yang, S Gholami, I Klyuzhin, S Mukherjee, ... Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 664-673, 2021 | 20 | 2021 |
| Identifying and ranking potential driver genes of Alzheimer's Disease using multi-view evidence aggregation S Mukherjee, T Perumal, K Daily, S Sieberts, L Omberg, C Preuss, ... Bioinformatics 35 (14), i568–i576, 2019 | 18 | 2019 |
| Assessment of differentially private synthetic data for utility and fairness in end-to-end machine learning pipelines for tabular data M Pereira, M Kshirsagar, S Mukherjee, R Dodhia, J Lavista Ferres, ... Plos one 19 (2), e0297271, 2024 | 16* | 2024 |
| Extrinsic Noise Suppression in Micro RNA Mediated Incoherent Feedforward Loops A Carignano*, S Mukherjee*, A Singh, G Seelig 2018 IEEE Conference on Decision and Control (CDC), 4353-4359, 2018 | 15 | 2018 |
| Mace: A flexible framework for membership privacy estimation in generative models Y Xu, S Mukherjee, X Liu, S Tople, R Dodhia, JL Ferres arXiv preprint arXiv:2009.05683, 2020 | 13 | 2020 |
| Identifying progressive gene network perturbation from single-cell RNA-seq data S Mukherjee, A Carignano, G Seelig, SI Lee 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 13 | 2018 |
| Identification of nonlinear systems from the knowledge around different operating conditions: A feed-forward multi-layer ANN based approach S Saha, S Das, A Acharya, A Kumar, S Mukherjee, I Pan, A Gupta 2012 2nd IEEE International Conference on Parallel, Distributed and Grid …, 2012 | 13 | 2012 |
| Identification of the core temperature in a fractional order noisy environment for thermal feedback in nuclear reactors S Das, S Mukherjee, I Pan, A Gupta, S Das IEEE Technology Students' Symposium, 180-186, 2011 | 10 | 2011 |
| The risk of hospitalization and mortality after breakthrough SARS-CoV-2 infection by vaccine type: observational study of medical claims data M Kshirsagar, M Nasir, S Mukherjee, N Becker, R Dodhia, WB Weeks, ... JMIR Public Health and Surveillance 8 (11), e38898, 2022 | 8* | 2022 |
Georg SeeligElectrical & Computer Engineering, Computer Science & Engineering, University of WashingtonVerified email at uw.edu
