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  Analysis and modelling of septic shock microarray data using Singular Value Decomposition

Allanki, S., Dixit, M., Thangaraj, P., & Sinha, N. K. (2017). Analysis and modelling of septic shock microarray data using Singular Value Decomposition. JOURNAL OF BIOMEDICAL INFORMATICS, 70, 77-84. doi:10.1016/j.jbi.2017.05.005.

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 Creators:
Allanki, Srinivas1, Author              
Dixit, Madhulika, Author
Thangaraj, Paul, Author
Sinha, Nandan Kumar, Author
Affiliations:
1Developmental Genetics, Max Planck Institute for Heart and Lung Research, Max Planck Society, ou_2591697              

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Free keywords: GENE-EXPRESSION PROFILE; SEPSIS; SELENOCYSTINE; CARCINOMA; APOPTOSIS; HYPOXIA; CELLS; MICESeptic shock; Microarray; Singular value decomposition; Microarray modelling; Predictive modelling;
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 Dates: 2017
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: ISI: 000409394500007
DOI: 10.1016/j.jbi.2017.05.005
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Title: JOURNAL OF BIOMEDICAL INFORMATICS
Source Genre: Journal
 Creator(s):
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Publ. Info: -
Pages: - Volume / Issue: 70 Sequence Number: - Start / End Page: 77 - 84 Identifier: ISSN: 1532-0464