A transcriptomics data-driven gene space accurately predicts liver cytopathology and drug-induced liver injury (Q31724476)

29 July 2017

A transcriptomics data-driven gene space accurately predicts liver cytopathology and drug-induced liver injury (English)

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29 July 2017

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29 July 2017

7

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Department of Bioinformatics - BiGCaT

29 July 2017

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Karolinska Institutet

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29 July 2017

Juuso A Parkkinen

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language of work or name

English

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publication date

3 July 2017

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29 July 2017

15

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published in

Nature Communications

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29 July 2017

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29 July 2017

15932

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29 July 2017

1

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Creative Commons Attribution 4.0 International

30 June 2019

copyright license

start time

3 July 2017

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April 2022 Public Data File from Crossref

copyright status

copyrighted

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describes a project that uses

1 reference

10 June 2022

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=pmc&rettype=xml&id=5500850

limma

1 reference

22 June 2022

https://europepmc.org/article/PMC/5500850

based on heuristic

inferred from PubMed Central ID database lookup

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28 July 2018

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28 July 2018

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28 July 2018

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28 July 2018

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28 July 2018

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28 July 2018

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28 July 2018

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28 July 2018

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Statistical learning and selective inference

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21 January 2018

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Human drug-induced liver injury severity is highly associated with dual inhibition of liver mitochondrial function and bile salt export pump

21 January 2018

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Advancing regulatory science

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7 January 2021

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ggplot2: Elegant Graphics for Data Analysis

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5 May 2024

https://opencitations.net/index/api/v1/references/10.1038/NCOMMS15932

Identifiers

DOI

10.1038/NCOMMS15932

1 reference

Dimensions Publication ID

29 July 2017

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0 references

1 reference

29 July 2017

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PubMed ID

28671182