Neriman Tokcan
Broad Institute
12 Papers
42 Citations
Neriman Tokcan is an academic researcher from Broad Institute. The author has contributed to research in topics: Binary form & Tensor. The author has an hindex of 5, co-authored 12 publications. Previous affiliations of Neriman Tokcan include University of Illinois at Urbana–Champaign & University of Michigan.
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Papers
Deep learning and alignment of spatially resolved single-cell transcriptomes with Tangram.
Tommaso Biancalani,Gabriele Scalia,Gabriele Scalia,Lorenzo Buffoni,Raghav Avasthi,Raghav Avasthi,Ziqing Lu,Ziqing Lu,Aman Sanger,Neriman Tokcan,Charles R. Vanderburg,Asa Segerstolpe,Meng Zhang,Meng Zhang,Inbal Avraham-Davidi,Sanja Vickovic,Mor Nitzan,Mor Nitzan,Mor Nitzan,Sai Ma,Sai Ma,Sai Ma,Ayshwarya Subramanian,Michal Lipinski,Michal Lipinski,Jason D. Buenrostro,Jason D. Buenrostro,Nik Bear Brown,Duccio Fanelli,Xiaowei Zhuang,Xiaowei Zhuang,Evan Z. Macosko,Aviv Regev +32 more
TL;DR: Tangram as mentioned in this paper aligns single-cell and single-nucleus RNA-seq data to various forms of spatial data collected from the same region, including MERFISH, STARmap, smFISH and histological images.
Newton polytopes in algebraic combinatorics
TL;DR: A polynomial has saturated Newton polytope (SNP) if every lattice point of the convex hull of its exponent vectors corresponds to a monomial.
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WCET Derivation under Single Core Equivalence with Explicit Memory Budget Assignment
Renato Mancuso,Rodolfo Pellizzoni,Neriman Tokcan,Marco Caccamo +3 more
- 01 Jun 2017
TL;DR: This work proposes a novel analysis strategy to derive the WCET of a task under memory bandwidth regulation that takes into account the exact distribution of memory budgets to cores, and can reduce overestimation by 30% in average, and up to 60%, compared to the state of the art.
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•Posted Content
Newton Polytopes in Algebraic Combinatorics
TL;DR: A polynomial has saturated Newton polytope (SNP) if every lattice point of the convex hull of its exponent vectors corresponds to a monomial as discussed by the authors.
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Multimodal tensor-based method for integrative and continuous patient monitoring during postoperative cardiac care.
Larry Hernandez,Renaid B. Kim,Neriman Tokcan,Harm Derksen,Ben E. Biesterveld,Alfred Croteau,Aaron M. Williams,Michael R. Mathis,Kayvan Najarian,Jonathan Gryak +9 more
TL;DR: In this article, a multimodal approach that incorporates salient physiological signals and EHR data to predict the onset of hemodynamic decompensation was proposed, and the best performing models achieved AUCs of 0.87 and 0.80 for the half-hour and 12-hour intervals respectively.
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