Smita Krishnaswamy
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viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
ED Amir, KL Davis, MD Tadmor, EF Simonds, JH Levine, SC Bendall, ...
Nature biotechnology 31 (6), 545-552, 2013
Recovering gene interactions from single-cell data using data diffusion
D Van Dijk, R Sharma, J Nainys, K Yim, P Kathail, AJ Carr, C Burdziak, ...
Cell 174 (3), 716-729. e27, 2018
Visualizing structure and transitions in high-dimensional biological data
KR Moon, D Van Dijk, Z Wang, S Gigante, DB Burkhardt, WS Chen, K Yim, ...
Nature biotechnology 37 (12), 1482-1492, 2019
Normalization of mass cytometry data with bead standards
R Finck, EF Simonds, A Jager, S Krishnaswamy, K Sachs, W Fantl, ...
Cytometry Part A 83 (5), 483-494, 2013
Palladium-based mass tag cell barcoding with a doublet-filtering scheme and single-cell deconvolution algorithm
ER Zunder, R Finck, GK Behbehani, ED Amir, S Krishnaswamy, ...
Nature protocols 10 (2), 316-333, 2015
Accurate reliability evaluation and enhancement via probabilistic transfer matrices
S Krishnaswamy, GF Viamontes, IL Markov, JP Hayes
Design, Automation and Test in Europe, 282-287, 2005
Exploring single-cell data with deep multitasking neural networks
M Amodio, D Van Dijk, K Srinivasan, WS Chen, H Mohsen, KR Moon, ...
Nature methods 16 (11), 1139-1145, 2019
PD-1 marks dysfunctional regulatory T cells in malignant gliomas
DE Lowther, BA Goods, LE Lucca, BA Lerner, K Raddassi, D van Dijk, ...
JCI insight 1 (5), 2016
Conditional density-based analysis of T cell signaling in single-cell data
S Krishnaswamy, MH Spitzer, M Mingueneau, SC Bendall, O Litvin, ...
Science 346 (6213), 1250689, 2014
A reservoir of stem-like CD8+ T cells in the tumor-draining lymph node preserves the ongoing antitumor immune response
KA Connolly, M Kuchroo, A Venkat, A Khatun, J Wang, I William, ...
Science immunology 6 (64), eabg7836, 2021
Probabilistic transfer matrices in symbolic reliability analysis of logic circuits
S Krishnaswamy, GF Viamontes, IL Markov, JP Hayes
ACM Transactions on Design Automation of Electronic Systems (TODAES) 13 (1 …, 2008
Quantifying the effect of experimental perturbations at single-cell resolution
DB Burkhardt, JS Stanley III, A Tong, AL Perdigoto, SA Gigante, ...
Nature biotechnology 39 (5), 619-629, 2021
Manifold learning-based methods for analyzing single-cell RNA-sequencing data
KR Moon, JS Stanley III, D Burkhardt, D van Dijk, G Wolf, S Krishnaswamy
Current Opinion in Systems Biology 7, 36-46, 2018
Travelgan: Image-to-image translation by transformation vector learning
M Amodio, S Krishnaswamy
Proceedings of the ieee/cvf conference on computer vision and pattern …, 2019
Trajectorynet: A dynamic optimal transport network for modeling cellular dynamics
A Tong, J Huang, G Wolf, D Van Dijk, S Krishnaswamy
International conference on machine learning, 9526-9536, 2020
Endocrine-exocrine signaling drives obesity-associated pancreatic ductal adenocarcinoma
KM Chung, J Singh, L Lawres, KJ Dorans, C Garcia, DB Burkhardt, ...
Cell 181 (4), 832-847. e18, 2020
Enhancing design robustness with reliability-aware resynthesis and logic simulation
S Krishnaswamy, SM Plaza, IL Markov, JP Hayes
2007 IEEE/ACM International Conference on Computer-Aided Design, 149-154, 2007
Signature-based SER analysis and design of logic circuits
S Krishnaswamy, SM Plaza, IL Markov, JP Hayes
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2008
MAGAN: Aligning biological manifolds
M Amodio, S Krishnaswamy
International conference on machine learning, 215-223, 2018
Transcriptomic and clonal characterization of T cells in the human central nervous system
JL Pappalardo, L Zhang, MK Pecsok, K Perlman, C Zografou, K Raddassi, ...
Science immunology 5 (51), eabb8786, 2020
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