(Q34467439)

2 August 2017

title

Cardinal: an R package for statistical analysis of mass spectrometry-based imaging experiments (English)

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2 August 2017

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3

Livia S Eberlin

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2 August 2017

Kyle D Bemis

1

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2 August 2017

April Harry

2

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2 August 2017

Christina Ferreira

4

1 reference

2 August 2017

Stephanie M van de Ven

5

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2 August 2017

Parag Mallick

6

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2 August 2017

Mark Stolowitz

7

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2 August 2017

Olga Vitek

8

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2 August 2017

language of work or name

English

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publication date

15 March 2015

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2 August 2017

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2 August 2017

volume

31

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2 August 2017

issue

14

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2 August 2017

page(s)

2418-2420

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Creative Commons Attribution 4.0 International

2 August 2017

copyright license

start time

2 October 2016

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April 2023 Public Data File from Crossref

copyright status

copyrighted

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describes a project that uses

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imzML--a common data format for the flexible exchange and processing of mass spectrometry imaging data.

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https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4495298

Efficient spatial segmentation of large imaging mass spectrometry datasets with spatially aware clustering.

6 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4495298

The evolving field of imaging mass spectrometry and its impact on future biological research.

6 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4495298

Comparison of public peak detection algorithms for MALDI mass spectrometry data analysis

6 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4495298

LIMPIC: a computational method for the separation of protein MALDI-TOF-MS signals from noise

6 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4495298

Multivariate statistical differentiation of renal cell carcinomas based on lipidomic analysis by ambient ionization imaging mass spectrometry

6 July 2018

1 reference

Crossref

https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTV146

10.1093/BIOINFORMATICS/BTV146

21 January 2018

Identifiers

DOI

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journals/bioinformatics/BemisHEFVMSV15

2 August 2017

DBLP publication ID

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DBLP Dataset 2021-01-02

28 January 2021

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2 August 2017

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