Search Results - "Zhang, Jesse M"

Fast and accurate single-cell RNA-seq analysis by clustering of transcript-compatibility counts by Ntranos, Vasilis, Kamath, Govinda M, Zhang, Jesse M, Pachter, Lior, Tse, David N

“…Current approaches to single-cell transcriptomic analysis are computationally intensive and require assay-specific modeling, which limits their scope and…”
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An interpretable framework for clustering single-cell RNA-Seq datasets by Zhang, Jesse M, Fan, Jue, Fan, H Christina, Rosenfeld, David, Tse, David N

“…With the recent proliferation of single-cell RNA-Seq experiments, several methods have been developed for unsupervised analysis of the resulting datasets…”
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Valid Post-clustering Differential Analysis for Single-Cell RNA-Seq by Zhang, Jesse M, Kamath, Govinda M, Tse, David N

“…Single-cell computational pipelines involve two critical steps: organizing cells (clustering) and identifying the markers driving this organization…”
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A Fourier-Based Approach to Generalization and Optimization in Deep Learning by Farnia, Farzan, Zhang, Jesse M., Tse, David N.

“…The success of deep neural networks stems from their ability to generalize well on real data; however, et al. have observed that neural networks can easily…”
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Generalizable Adversarial Training via Spectral Normalization by Farnia, Farzan, Zhang, Jesse M, Tse, David

“…Deep neural networks (DNNs) have set benchmarks on a wide array of supervised learning tasks. Trained DNNs, however, often lack robustness to minor adversarial…”
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