Article

Exploring Single-Cell Data with Deep Multitasking Neural Networks

2017-12-19

Abstract excerpt

Biomedical researchers are generating high-throughput, high-dimensional single-cell data at a staggering rate. As costs of data generation decrease, experimental design is moving towards measurement of many different single-cell samples in the same dataset. These samples can correspond to different patients, conditions, or treatments. While scalability of methods to datasets of these sizes is a challenge on its ow...

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Literature Corpus work: e0100417-5ddd-57a4-8ded-1c6c9d341ff5
DOI: 10.1101/237065

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