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Volume 2017, Article ID 3017632, 9 pages
Research Article

Exploring the Limitations of Peripheral Blood Transcriptional Biomarkers in Predicting Influenza Vaccine Responsiveness

1The Microsoft Research-University of Trento Centre for Computational and Systems Biology (COSBI), 38068 Rovereto, Italy
2GSK Vaccines, 53100 Siena, Italy
3Department of Mathematics, University of Trento, Povo, 38123 Trento, Italy
4Department of Computer Science, Stanford University, Stanford, CA, USA

Correspondence should be addressed to Luca Marchetti; ue.ibsoc@ittehcram

Received 26 April 2017; Revised 2 August 2017; Accepted 10 August 2017; Published 28 September 2017

Academic Editor: Min Li

Copyright © 2017 Luca Marchetti et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

Supplementary File S1: 207 transcripts biomarker, GO terms and pathways from functional enrichment analysis.

Supplementary File S2: 12 transcripts biomarker.

Supplementary File S3: Differential gene response between individuals with high- and low-baseline immunity.

Supplementary File S4: Titer Response Score (TRS).

  1. Supplementary Material