In this section
Several of our current PhD candidates and fellow researchers at the Data Science Institute have published, or in the proccess of publishing, papers to present their research.
@article{Kermani:2019:10.1183/13993003.congress-2019.PA2347,
author = {Kermani, NZ and Pavlidis, S and Riley, JH and Chung, FK and Adcock, IM and Guo, Y-K},
doi = {10.1183/13993003.congress-2019.PA2347},
journal = {EUROPEAN RESPIRATORY JOURNAL},
title = {Prediction of longitudinal inflammatory phenotypes using baseline sputum transcriptomics in UBIOPRED},
url = {http://dx.doi.org/10.1183/13993003.congress-2019.PA2347},
volume = {54},
year = {2019}
}
TY - JOUR
AU - Kermani,NZ
AU - Pavlidis,S
AU - Riley,JH
AU - Chung,FK
AU - Adcock,IM
AU - Guo,Y-K
DO - 10.1183/13993003.congress-2019.PA2347
PY - 2019///
SN - 0903-1936
TI - Prediction of longitudinal inflammatory phenotypes using baseline sputum transcriptomics in UBIOPRED
T2 - EUROPEAN RESPIRATORY JOURNAL
UR - http://dx.doi.org/10.1183/13993003.congress-2019.PA2347
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000507372402368&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - http://hdl.handle.net/10044/1/76952
VL - 54
ER -
Data Science Institute
William Penney Laboratory
Imperial College London
South Kensington Campus
London SW7 2AZ
United Kingdom
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