Exploring single-cell data with deep multitasking neural networks (Q90576457)

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14 April 2020

title

Exploring single-cell data with deep multitasking neural networks (English)

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5

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Ruth R Montgomery

14

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Guy Wolf

15

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Smita Krishnaswamy

16

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1

Matthew Amodio

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14 April 2020

author name string

David van Dijk

2

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Krishnan Srinivasan

3

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William S Chen

4

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Kevin R Moon

6

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Allison Campbell

7

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Yujiao Zhao

8

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Xiaomei Wang

9

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Manjunatha Venkataswamy

10

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Anita Desai

11

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V Ravi

12

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Priti Kumar

13

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14 April 2020

publication date

7 October 2019

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14 April 2020

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14 April 2020

volume

16

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issue

11

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page(s)

1139-1145

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Unsupervised Extraction of Stable Expression Signatures from Public Compendia with an Ensemble of Neural Networks.

14 April 2020

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Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis

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Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors

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Integrating single-cell transcriptomic data across different conditions, technologies, and species

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Reversed graph embedding resolves complex single-cell trajectories.

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UMAP: Uniform Manifold Approximation and Projection

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Recovering Gene Interactions from Single-Cell Data Using Data Diffusion

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7 January 2021

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7 January 2021

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Identifiers

DOI

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14 April 2020

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