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Sandhya Prabhakaran
Sandhya Prabhakaran
Applied Research Scientist, Moffitt Cancer Center, Florida
Verified email at moffitt.org - Homepage
Title
Cited by
Cited by
Year
Single-cell Map of Diverse Immune Phenotypes Driven by the Tumor Microenvironment
E Azizi, AJ Carr, G Plitas, AE Cornish, C Konopacki, S Prabhakaran, ...
bioRxiv, 221994, 2018
939*2018
Single-cell map of diverse immune phenotypes in the breast tumor microenvironment
E Azizi, AJ Carr, G Plitas, AE Cornish, C Konopacki, S Prabhakaran, ...
Cell 174 (5), 1293-1308. e36, 2018
9372018
Probabilistic inference of viral quasispecies subject to recombination
A Töpfer, O Zagordi, S Prabhakaran, V Roth, E Halperin, N Beerenwinkel
Journal of Computational Biology 20 (2), 113-123, 2013
1402013
Full-length haplotype reconstruction to infer the structure of heterogeneous virus populations
FD Giallonardo, A Töpfer, M Rey, S Prabhakaran, Y Duport, C Leemann, ...
Nucleic acids research 42 (14), e115-e115, 2014
1262014
Research in Computational Molecular Biology
O Zagordi, A Töpfer, S Prabhakaran, V Roth, E Halperin, N Beerenwinkel
Springer Berlin Heidelberg, 2012
108*2012
Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data.
S Prabhakaran, E Azizi, A Carr, D Pe'er
ICML, 1070-1079, 2016
1022016
HIV haplotype inference using a propagating dirichlet process mixture model
S Prabhakaran, M Rey, O Zagordi, N Beerenwinkel, V Roth
IEEE/ACM transactions on computational biology and bioinformatics 11 (1 …, 2014
862014
Bayesian Inference for Single-cell Clustering and Imputing
E Azizi, S Prabhakaran, A Carr, D Pe'er
Genomics and Computational Biology 3 (1), 46, 2017
342017
HIV haplotype inference using a constraint-based Dirichlet process mixture model
S Prabhakaran, M Rey, O Zagordi, N Beerenwinkel, V Roth
Machine Learning in Computational Biology (MLCB) NIPS Workshop, 1-4, 2010
312010
Probabilistic inference of viral quasispecies subject to recombination
O Zagordi, A Töpfer, S Prabhakaran, V Roth, E Halperin, N Beerenwinkel
Research in Computational Molecular Biology, 342-354, 2012
232012
Probabilistic inference of viral quasispecies subject to recombination
O Zagordi, A Töpfer, S Prabhakaran, V Roth, E Halperin, N Beerenwinkel
Research in Computational Molecular Biology, 342-354, 2012
232012
The translation-invariant Wishart-Dirichlet process for clustering distance data
JE Vogt, S Prabhakaran, TJ Fuchs, V Roth
Proceedings of the 27th International Conference on Machine Learning (ICML …, 2010
232010
Automatic model selection in archetype analysis
S Prabhakaran, S Raman, JE Vogt, V Roth
Pattern Recognition, 458-467, 2012
162012
A Nonparametric Multi-view Model for Estimating Cell Type-Specific Gene Regulatory Networks
C Burdziak, E Azizi, S Prabhakaran, D Pe'er
arXiv preprint arXiv:1902.08138, 2019
82019
Probabilistic Clustering of Time-Evolving Distance Data
Julia E. Vogt, Marius Kloft, Stefan Stark, Sudhir S. Raman, Sandhya ...
Machine Learning 100 (2-3), 635-654, 2015
52015
Sparcle: assigning transcripts to cells in multiplexed images
S Prabhakaran, T Nawy, D Pe’er
bioRxiv, 2021
42021
Recovering networks from distance data
S Prabhakaran, D Adametz, KJ Metzner, A Böhm, V Roth
Machine learning 92 (2), 251-283, 2013
42013
Recovering networks from distance data
S Prabhakaran, KJ Metzner, A Böhm, V Roth
Asian Conference on Machine Learning, 349-364, 2012
32012
Ovarian cancer immunogenicity is governed by a narrow subset of progenitor tissue-resident memory T cells
CM Anadon, X Yu, K Hänggi, S Biswas, RA Chaurio, A Martin, KK Payne, ...
Cancer Cell 40 (5), 545-557. e13, 2022
22022
IgA-dominated humoral immune responses govern patients' outcome in endometrial cancer
G Mandal, S Biswas, CM Anadon, X Yu, CD Gatenbee, S Prabhakaran, ...
Cancer Research 82 (5), 859-871, 2022
22022
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