Prediction of pancreatic fat and analysis of its determining factors using multi-omics datasets: an IMI DIRECTstudy

T. Karaderi; G. Mazzoni; C. Brorsson; D. Westergaard; K. Banasik; R. Koivula; L. Thomas; J. Bell; P. Franks; E. Pearson; S. Brunak

Prediction of pancreatic fat and analysis of its determining factors using multi-omics datasets: an IMI DIRECTstudy

T. Karaderi, G. Mazzoni, C. Brorsson, D. Westergaard, K. Banasik, R. Koivula, L. Thomas, J. Bell, P. Franks, E. Pearson, S. Brunak

Disease Systems Biology Program

Research output: Contribution to journal › Conference abstract in journal › Research

Original language	English
Journal	Diabetologia
Volume	62
Pages (from-to)	S166-S166
ISSN	0012-186X
Publication status	Published - 2019

Cite this

Prediction of pancreatic fat and analysis of its determining factors using multi-omics datasets: an IMI DIRECTstudy. / Karaderi, T.; Mazzoni, G.; Brorsson, C.; Westergaard, D.; Banasik, K.; Koivula, R.; Thomas, L.; Bell, J.; Franks, P.; Pearson, E.; Brunak, S.

In: Diabetologia, Vol. 62, 2019, p. S166-S166.

Research output: Contribution to journal › Conference abstract in journal › Research

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T1 - Prediction of pancreatic fat and analysis of its determining factors using multi-omics datasets: an IMI DIRECTstudy

AU - Karaderi, T.

AU - Mazzoni, G.

AU - Brorsson, C.

AU - Westergaard, D.

AU - Banasik, K.

AU - Koivula, R.

AU - Thomas, L.

AU - Bell, J.

AU - Franks, P.

AU - Pearson, E.

AU - Brunak, S.

PY - 2019

Y1 - 2019

M3 - Conference abstract in journal

VL - 62

SP - S166-S166

JO - Diabetologia

JF - Diabetologia

SN - 0012-186X

ER -