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Comparative performances of machine learning methods for cl..:

Romagnoni, A ; Jegou, S ; Van Steen, K...
https://discovery.ucl.ac.uk/id/eprint/10082331/1/Barnes_Comparative%20performances%20of%20machine%20learning%20methods%20for%20classifying%20Crohn%20Disease%20patients%20using%20genome-wide%20genotyping%20data_VoR.pdf. , 2019

Link: https://discovery.ucl.ac.uk/id/eprint/10082331/1/Barne..

RT Journal
T1 <Title>Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftucl:oai:eprints.ucl.ac.uk.OAI2:10082331&Exemplar=1&LAN=DE
				
A1 Romagnoni, A
A1 Jegou, S
A1 Van Steen, K
A1 Wainrib, G
A1 Hugot, J-P
A1 Peyrin-Biroulet, L
A1 Chamaillard, M
A1 Colombel, J-F
A1 Cottone, M
A1 D'Amato, M
A1 D'Inca, R
A1 Halfvarson, J
A1 Henderson, P
A1 Karban, A
A1 Kennedy, NA
A1 Khan, MA
A1 Lemann, M
A1 Levine, A
A1 Massey, D
A1 Milla, M
A1 Ng, SME
A1 Oikonomou, I
A1 Peeters, H
A1 Proctor, DD
A1 Rahier, J-F
A1 Rutgeerts, P
A1 Seibold, F
A1 Stronati, L
A1 Taylor, KM
A1 Torkvist, L
A1 Ublick, K
A1 Van Limbergen, J
A1 Van Gossum, A
A1 Vatn, MH
A1 Zhang, H
A1 Zhang, W
A1 Andrews, JM
A1 Bampton, PA
A1 Barclay, M
A1 Florin, TH
A1 Gearry, R
A1 Krishnaprasad, K
A1 Lawrance, IC
A1 Mahy, G
A1 Montgomery, GW
A1 Radford-Smith, G
A1 Roberts, RL
A1 Simms, LA
A1 Hanigan, K
A1 Croft, A
A1 Amininijad, L
A1 Cleynen, I
A1 Dewit, O
A1 Franchimont, D
A1 Georges, M
A1 Laukens, D
A1 Theatre, E
A1 Vermeire, S
A1 Aumais, G
A1 Baidoo, L
A1 Barrie, AM
A1 Beck, K
A1 Bernard, E-J
A1 Binion, DG
A1 Bitton, A
A1 Brant, SR
A1 Cho, JH
A1 Cohen, A
A1 Croitoru, K
A1 Daly, MJ
A1 Datta, LW
A1 Deslandres, C
A1 Duerr, RH
A1 Dutridge, D
A1 Ferguson, J
A1 Fultz, J
A1 Goyette, P
A1 Greenberg, GR
A1 Haritunians, T
A1 Jobin, G
A1 Katz, S
A1 Lahaie, RG
A1 McGovern, DP
A1 Nelson, L
A1 Ng, SM
A1 Ning, K
A1 Pare, P
A1 Regueiro, MD
A1 Rioux, JD
A1 Ruggiero, E
A1 Schumm, LP
A1 Schwartz, M
A1 Scott, R
A1 Sharma, Y
A1 Silverberg, MS
A1 Spears, D
A1 Steinhart, AH
A1 Stempak, JM
A1 Swoger, JM
A1 Tsagarelis, C
A1 Zhang, C
A1 Zhao, H
A1 Aerts, J
A1 Ahmad, T
A1 Arbury, H
A1 Attwood, A
A1 Auton, A
A1 Ball, SG
A1 Balmforth, AJ
A1 Barnes, C
A1 Barrett, JC
A1 Barroso, I
A1 Barton, A
A1 Bennett, AJ
A1 Bhaskar, S
A1 Blaszczyk, K
A1 Bowes, J
A1 Brand, OJ
A1 Braund, PS
A1 Bredin, F
A1 Breen, G
A1 Brown, MJ
A1 Bruce, IN
A1 Bull, J
A1 Burren, OS
A1 Burton, J
A1 Byrnes, J
A1 Caesar, S
A1 Cardin, N
A1 Clee, CM
A1 Coffey, AJ
A1 Mc Connell, J
A1 Conrad, DF
A1 Cooper, JD
A1 Dominiczak, AF
A1 Downes, K
A1 Drummond, HE
A1 Dudakia, D
A1 Dunham, A
A1 Ebbs, B
A1 Eccles, D
A1 Edkins, S
A1 Edwards, C
A1 Elliot, A
A1 Emery, P
A1 Evans, DM
A1 Evans, G
A1 Eyre, S
A1 Farmer, A
A1 Ferrier, IN
A1 Flynn, E
A1 Forbes, A
A1 Forty, L
A1 Franklyn, JA
A1 Frayling, TM
A1 Freathy, RM
A1 Giannoulatou, E
A1 Gibbs, P
A1 Gilbert, P
A1 Gordon-Smith, K
A1 Gray, E
A1 Green, E
A1 Groves, CJ
A1 Grozeva, D
A1 Gwilliam, R
A1 Hall, A
A1 Hammond, N
A1 Hardy, M
A1 Harrison, P
A1 Hassanali, N
A1 Hebaishi, H
A1 Hines, S
A1 Hinks, A
A1 Hitman, GA
A1 Hocking, L
A1 Holmes, C
A1 Howard, E
A1 Howard, P
A1 Howson, JMM
A1 Hughes, D
A1 Hunt, S
A1 Isaacs, JD
A1 Jain, M
A1 Jewell, DP
A1 Johnson, T
A1 Jolley, JD
A1 Jones, IR
A1 Jones, LA
A1 Kirov, G
A1 Langford, CF
A1 Lango-Allen, H
A1 Lathrop, GM
A1 Lee, J
A1 Lee, KL
A1 Lees, C
A1 Lewis, K
A1 Lindgren, CM
A1 Maisuria-Armer, M
A1 Maller, J
A1 Mansfield, J
PB NATURE PUBLISHING GROUP
YR 2019
JF https://discovery.ucl.ac.uk/id/eprint/10082331/1/Barnes_Comparative%20performances%20of%20machine%20learning%20methods%20for%20classifying%20Crohn%20Disease%20patients%20using%20genome-wide%20genotyping%20data_VoR.pdf
LK http://dx.doi.org/https://discovery.ucl.ac.uk/id/eprint/10082331/1/Barnes_Comparative%20performances%20of%20machine%20learning%20methods%20for%20classifying%20Crohn%20Disease%20patients%20using%20genome-wide%20genotyping%20data_VoR.pdf
DO https://discovery.ucl.ac.uk/id/eprint/10082331/1/Barnes_Comparative%20performances%20of%20machine%20learning%20methods%20for%20classifying%20Crohn%20Disease%20patients%20using%20genome-wide%20genotyping%20data_VoR.pdf
SF ELIB - SuUB Bremen

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