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Items: 1 to 20 of 35

1.

Transcriptomic gene signatures associated with persistent airflow limitation in patients with severe asthma.

Hekking PP, Loza MJ, Pavlidis S, De Meulder B, Lefaudeux D, Baribaud F, Auffray C, Wagener AH, Brinkman P, Lutter R, Bansal AT, Sousa AR, Bates SA, Pandis I, Fleming LJ, Shaw DE, Fowler SJ, Guo Y, Meiser A, Sun K, Corfield J, Howarth P, Bel EH, Adcock IM, Chung KF, Djukanovic R, Sterk PJ; U-BIOPRED Study Group.

Eur Respir J. 2017 Sep 27;50(3). pii: 1602298. doi: 10.1183/13993003.02298-2016. Print 2017 Sep.

PMID:
28954779
2.

Mixed Neural Network Approach for Temporal Sleep Stage Classification.

Dong H, Supratak A, Pan W, Wu C, Matthews PM, Guo Y.

IEEE Trans Neural Syst Rehabil Eng. 2017 Jul 28. doi: 10.1109/TNSRE.2017.2733220. [Epub ahead of print]

PMID:
28767373
3.

DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG.

Supratak A, Dong H, Wu C, Guo Y.

IEEE Trans Neural Syst Rehabil Eng. 2017 Nov;25(11):1998-2008. doi: 10.1109/TNSRE.2017.2721116. Epub 2017 Jun 28.

PMID:
28678710
4.

Sputum transcriptomics reveal upregulation of IL-1 receptor family members in patients with severe asthma.

Rossios C, Pavlidis S, Hoda U, Kuo CH, Wiegman C, Russell K, Sun K, Loza MJ, Baribaud F, Durham AL, Ojo O, Lutter R, Rowe A, Bansal A, Auffray C, Sousa A, Corfield J, Djukanovic R, Guo Y, Sterk PJ, Chung KF, Adcock IM; Unbiased Biomarkers for the Prediction of Respiratory Diseases Outcomes (U-BIOPRED) Consortia Project Team.

J Allergy Clin Immunol. 2017 May 18. pii: S0091-6749(17)30764-9. doi: 10.1016/j.jaci.2017.02.045. [Epub ahead of print]

PMID:
28528200
5.

A new soft material based in-the-ear EEG recording technique.

Hao Dong, Matthews PM, Guo Y.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:5709-5712. doi: 10.1109/EMBC.2016.7592023.

PMID:
28269551
6.

Parameter estimation for gene regulatory networks: a two-stage MCMC Bayesian approach.

Niannan Xue, Wei Pan, Yike Guo.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:1476-1479. doi: 10.1109/EMBC.2016.7590988.

PMID:
28268605
7.

T-helper cell type 2 (Th2) and non-Th2 molecular phenotypes of asthma using sputum transcriptomics in U-BIOPRED.

Kuo CS, Pavlidis S, Loza M, Baribaud F, Rowe A, Pandis I, Sousa A, Corfield J, Djukanovic R, Lutter R, Sterk PJ, Auffray C, Guo Y, Adcock IM, Chung KF; U-BIOPRED Study Group.

Eur Respir J. 2017 Feb 8;49(2). pii: 1602135. doi: 10.1183/13993003.02135-2016. Print 2017 Feb.

PMID:
28179442
8.

Inferring Individual-level Variations in the Functional Parcellation of the Cerebral Cortex.

Nie L, Matthews PM, Guo Y.

IEEE Trans Biomed Eng. 2016 May 19. doi: 10.1109/TBME.2016.2571221. [Epub ahead of print]

PMID:
28113213
9.

A Visual Analytics Approach for Station-Based Air Quality Data.

Du Y, Ma C, Wu C, Xu X, Guo Y, Zhou Y, Li J.

Sensors (Basel). 2016 Dec 24;17(1). pii: E30. doi: 10.3390/s17010030.

10.

tranSMART-XNAT Connector tranSMART-XNAT connector-image selection based on clinical phenotypes and genetic profiles.

He S, Yong M, Matthews PM, Guo Y.

Bioinformatics. 2017 Mar 1;33(5):787-788. doi: 10.1093/bioinformatics/btw714.

PMID:
28025201
11.

Inferring Individual-Level Variations in the Functional Parcellation of the Cerebral Cortex.

Nie L, Matthews PM, Guo Y.

IEEE Trans Biomed Eng. 2016 Dec;63(12):2505-2517.

PMID:
27875122
12.

A Transcriptome-driven Analysis of Epithelial Brushings and Bronchial Biopsies to Define Asthma Phenotypes in U-BIOPRED.

Kuo CS, Pavlidis S, Loza M, Baribaud F, Rowe A, Pandis I, Hoda U, Rossios C, Sousa A, Wilson SJ, Howarth P, Dahlen B, Dahlen SE, Chanez P, Shaw D, Krug N, Sandstrӧm T, De Meulder B, Lefaudeux D, Fowler S, Fleming L, Corfield J, Auffray C, Sterk PJ, Djukanovic R, Guo Y, Adcock IM, Chung KF; U-BIOPRED Project Team ‡ .

Am J Respir Crit Care Med. 2017 Feb 15;195(4):443-455. doi: 10.1164/rccm.201512-2452OC.

PMID:
27580351
13.

Visualizing Dynamic Bitcoin Transaction Patterns.

McGinn D, Birch D, Akroyd D, Molina-Solana M, Guo Y, Knottenbelt WJ.

Big Data. 2016 Jun;4(2):109-19. doi: 10.1089/big.2015.0056.

14.

Automatic Sleep Stage Scoring Using Time-Frequency Analysis and Stacked Sparse Autoencoders.

Tsinalis O, Matthews PM, Guo Y.

Ann Biomed Eng. 2016 May;44(5):1587-97. doi: 10.1007/s10439-015-1444-y. Epub 2015 Oct 13.

15.

Fast traffic sign recognition with a rotation invariant binary pattern based feature.

Yin S, Ouyang P, Liu L, Guo Y, Wei S.

Sensors (Basel). 2015 Jan 19;15(1):2161-80. doi: 10.3390/s150102161.

16.

Feature extraction with stacked autoencoders for epileptic seizure detection.

Supratak A, Ling Li, Yike Guo.

Conf Proc IEEE Eng Med Biol Soc. 2014;2014:4184-7. doi: 10.1109/EMBC.2014.6944546.

PMID:
25570914
17.

Integration of sparse Bayesian learning and random subspace for fMRI Multivariate Pattern Analysis.

Yan S, Yang X, Wu C, Guo Y.

Conf Proc IEEE Eng Med Biol Soc. 2014;2014:1035-8. doi: 10.1109/EMBC.2014.6943770.

PMID:
25570138
18.

High dimensional biological data retrieval optimization with NoSQL technology.

Wang S, Pandis I, Wu C, He S, Johnson D, Emam I, Guitton F, Guo Y.

BMC Genomics. 2014;15 Suppl 8:S3. doi: 10.1186/1471-2164-15-S8-S3. Epub 2014 Nov 13.

19.

Linear Dynamic Sparse Modelling for functional MR imaging.

Yan S, Nie L, Wu C, Guo Y.

Brain Inform. 2014 Dec;1(1-4):11-18. Epub 2014 Sep 6.

20.

Optimising parallel R correlation matrix calculations on gene expression data using MapReduce.

Wang S, Pandis I, Johnson D, Emam I, Guitton F, Oehmichen A, Guo Y.

BMC Bioinformatics. 2014 Nov 5;15:351. doi: 10.1186/s12859-014-0351-9.

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