Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Comprehensive Reanalysis of Genomic Storm (Transcriptomic) Data, Integrating Clinical Varibles and Utilizing New and Old Approaches

Comprehensive Reanalysis of Genomic Storm (Transcriptomic) Data, Integrating Clinical Varibles and Utilizing New and Old Approaches

Tanwar, Deepak

Paperback

Medical ReferenceGeneral Computers

ISBN10: 3656858454
ISBN13: 9783656858454
Publisher: Grin Verlag
Published: Jan 20 2015
Pages: 56
Weight: 0.19
Height: 0.13 Width: 5.83 Depth: 8.27
Language: English
Bachelor Thesis from the year 2014 in the subject Computer Science - Bioinformatics, grade: 165/200 (A+), language: English, abstract: Aim: I sought to determine trauma-specific transcriptomic signatures for septic sub-cohorts. Methods: In retrospective large-scale data analysis, I applied (old and new methods), including lagged correlation between transcripts and clinical subtype counts (by integrating over 800 samples from trauma patients). Results: Focussing on novel pathways and correlation methods we revealed (persistently down-regulated) ribosomal genes and changed time profiles of metabolic enzyme precursors /transcripts. Candidates associated to insulin signalling, including HK3, hinted towards metabolic syndrome. Correlation analysis yielded robust results for LCN2 and LTF (r>0.9), but only moderate associations to subtype counts (e.g. top-performing r (Eosinophil, IL5RA)>0.6). Discussion: Gene Centred Normalisation Reduces Ambiguity and Improves Interpretation.

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