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Using polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: machine learning approach – CORRIGENDUM
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- Journal:
- The British Journal of Psychiatry / Volume 221 / Issue 2 / August 2022
- Published online by Cambridge University Press:
- 04 May 2022, p. 494
- Print publication:
- August 2022
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Using polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: machine learning approach
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- Journal:
- The British Journal of Psychiatry / Volume 220 / Issue 4 / April 2022
- Published online by Cambridge University Press:
- 28 February 2022, pp. 219-228
- Print publication:
- April 2022
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Optimization of Chemical Vapor Deposition Process for Carbon Nanotubes Growth on Stainless Steel: Towards Efficient Hydrogen Evolution Reaction
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- Journal:
- MRS Advances / Volume 5 / Issue 8-9 / 2020
- Published online by Cambridge University Press:
- 09 January 2020, pp. 363-368
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- 2020
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Low phonon energy BaCl2 nanocrystals in Nd3+-doped fluorozirconate glasses and their influence on the photoluminescence properties
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- Journal:
- MRS Online Proceedings Library Archive / Volume 1404 / 2012
- Published online by Cambridge University Press:
- 16 March 2012, mrsf11-1404-w02-10
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- 2012
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Biocompatible luminescent nanoparticles on the basis of calcium phosphate
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- Journal:
- MRS Online Proceedings Library Archive / Volume 1355 / 2011
- Published online by Cambridge University Press:
- 29 July 2011, mrss11-1355-jj05-04
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- 2011
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XANES Studies on Eu-doped Fluorozirconate Based Glass Ceramics
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- Journal:
- MRS Online Proceedings Library Archive / Volume 1262 / 2010
- Published online by Cambridge University Press:
- 01 February 2011, 1262-W08-03
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- 2010
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