Deep learning and 3D-DESI imaging reveal the hidden metabolic heterogeneity of cancer-Reference-Cited by-同舟云学术

Deep learning and 3D-DESI imaging reveal the hidden metabolic heterogeneity of cancer

Published:2017 Issue:5 Volume:8 Page:3500-3511
ISSN:2041-6520
Container-title:Chemical Science
language:en
Short-container-title:Chem. Sci.

Author:

Inglese Paolo¹²³⁴,McKenzie James S.¹²³⁴^ORCID,Mroz Anna¹²³⁴,Kinross James¹²³⁴,Veselkov Kirill¹²³⁴,Holmes Elaine¹²³⁴,Takats Zoltan¹²³⁴^ORCID,Nicholson Jeremy K.¹²³⁴^ORCID,Glen Robert C.¹²³⁴⁵^ORCID

Affiliation:

1. Department of Surgery and Cancer - Division of Computational and Systems Medicine

2. Imperial College London

3. London

4. UK

5. Centre for Molecular Informatics

Abstract

Imaging using 3-D DESI mass spectral data combined with deep learning reveals the topology and heterogeneity of colorectal cancer.

Funder

Wellcome Trust

National Institute for Health Research

European Research Council

Bowel and Cancer Research

Medical Research Council

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2017/SC/C6SC03738K

Reference58 articles.

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4. Spatial and Spectral Correlations in MALDI Mass Spectrometry Images by Clustering and Multivariate Analysis

5. Molecular Analysis of Tumor Margins by MALDI Mass Spectrometry in Renal Carcinoma

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