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

Allanki, Srinivas; Dixit, Madhulika; Thangaraj, Paul; Sinha, Nandan Kumar

doi:10.1016/j.jbi.2017.05.005

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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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Item Permalink: https://hdl.handle.net/21.11116/0000-0004-5331-7 Version Permalink: https://hdl.handle.net/21.11116/0000-0007-471E-9

Genre: Journal Article

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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: Date issued: 2017

Publication Status: Issued

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Identifiers: ISI: 000409394500007
DOI: 10.1016/j.jbi.2017.05.005

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Title: JOURNAL OF BIOMEDICAL INFORMATICS

Source Genre: Journal

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Pages: - Volume / Issue: 70 Sequence Number: - Start / End Page: 77 - 84 Identifier: ISSN: 1532-0464