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Kai Sun
Kai Sun
Institute Manager, Data Science Institute, Imperial College London
Verified email at imperial.ac.uk
Title
Cited by
Cited by
Year
Gdpr-compliant personal data management: A blockchain-based solution
NB Truong, K Sun, GM Lee, Y Guo
IEEE Transactions on Information Forensics and Security 15, 1746-1761, 2019
3352019
U-BIOPRED clinical adult asthma clusters linked to a subset of sputum omics
D Lefaudeux, B De Meulder, MJ Loza, N Peffer, A Rowe, F Baribaud, ...
Journal of Allergy and Clinical Immunology 139 (6), 1797-1807, 2017
2952017
Privacy preservation in federated learning: An insightful survey from the GDPR perspective
N Truong, K Sun, S Wang, F Guitton, YK Guo
Computers & Security 110, 102402, 2021
2152021
Sputum transcriptomics reveal upregulation of IL-1 receptor family members in patients with severe asthma
C Rossios, S Pavlidis, U Hoda, CH Kuo, C Wiegman, K Russell, K Sun, ...
Journal of Allergy and Clinical Immunology 141 (2), 560-570, 2018
1852018
Epithelial IL-6 trans-signaling defines a new asthma phenotype with increased airway inflammation
Z Jevnikar, J Östling, E Ax, J Calvén, K Thörn, E Israelsson, L Öberg, ...
Journal of allergy and clinical immunology 143 (2), 577-590, 2019
1572019
“T2-high” in severe asthma related to blood eosinophil, exhaled nitric oxide and serum periostin
S Pavlidis, K Takahashi, FNK Kwong, J Xie, U Hoda, K Sun, ...
European Respiratory Journal 53 (1), 2019
1542019
Pathway discovery using transcriptomic profiles in adult-onset severe asthma
PP Hekking, MJ Loza, S Pavlidis, B De Meulder, D Lefaudeux, F Baribaud, ...
Journal of Allergy and Clinical Immunology 141 (4), 1280-1290, 2018
1142018
Predicting disease associations via biological network analysis
K Sun, JP Gonçalves, C Larminie, N Pržulj
BMC bioinformatics 15, 1-13, 2014
1092014
Graphlet-based measures are suitable for biological network comparison
W Hayes, K Sun, N Pržulj
Bioinformatics 29 (4), 483-491, 2013
1072013
IL-17–high asthma with features of a psoriasis immunophenotype
J Östling, M van Geest, JPR Schofield, Z Jevnikar, S Wilson, J Ward, ...
Journal of Allergy and Clinical Immunology 144 (5), 1198-1213, 2019
1012019
Identification and prospective stability of electronic nose (eNose)–derived inflammatory phenotypes in patients with severe asthma
P Brinkman, AH Wagener, PP Hekking, AT Bansal, ...
Journal of Allergy and Clinical Immunology 143 (5), 1811-1820. e7, 2019
932019
Sputum proteomics and airway cell transcripts of current and ex-smokers with severe asthma in U-BIOPRED: an exploratory analysis
K Takahashi, S Pavlidis, FNK Kwong, U Hoda, C Rossios, K Sun, M Loza, ...
European respiratory journal 51 (5), 2018
892018
Stratification of asthma phenotypes by airway proteomic signatures
JPR Schofield, D Burg, B Nicholas, F Strazzeri, J Brandsma, D Staykova, ...
Journal of Allergy and Clinical Immunology 144 (1), 70-82, 2019
722019
Integrated multi-omics analysis using variational autoencoders: application to pan-cancer classification
X Zhang, J Zhang, K Sun, X Yang, C Dai, Y Guo
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019
662019
OmiEmbed: a unified multi-task deep learning framework for multi-omics data
X Zhang, Y Xing, K Sun, Y Guo
Cancers 13 (12), 3047, 2021
532021
Transcriptomic gene signatures associated with persistent airflow limitation in patients with severe asthma
PP Hekking, MJ Loza, S Pavlidis, B De Meulder, D Lefaudeux, F Baribaud, ...
European Respiratory Journal 50 (3), 2017
512017
XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data
E Withnell, X Zhang, K Sun, Y Guo
Briefings in bioinformatics 22 (6), bbab315, 2021
502021
Severe asthma exists despite suppressed tissue inflammation: findings of the U-BIOPRED study
SJ Wilson, JA Ward, AR Sousa, J Corfield, AT Bansal, B De Meulder, ...
European Respiratory Journal 48 (5), 1307-1319, 2016
502016
Treatable traits in the European U‐BIOPRED adult asthma cohorts
AJ Simpson, PP Hekking, DE Shaw, LJ Fleming, G Roberts, JH Riley, ...
Allergy 74 (2), 406, 2019
442019
Survey on feature extraction and applications of biosignals
A Supratak, C Wu, H Dong, K Sun, Y Guo
Machine Learning for Health Informatics: State-of-the-Art and Future …, 2016
422016
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