Block Forests: random forests for blocks of clinical and omics covariate data

Overview of attention for article published in BMC Bioinformatics, June 2019

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In the top 25% of all research outputs scored by Altmetric
High Attention Score compared to outputs of the same age (81st percentile)
Good Attention Score compared to outputs of the same age and source (77th percentile)

So far, Altmetric has seen 11 X posts from 8 X users, with an upper bound of 27,735 followers.

Block Forests: random forests for blocks of clinical and omics covariate data https://t.co/eAdkiRJ2CV #bioinformatics

RT @sgivan: Block Forests: random forests for blocks of clinical and omics covariate data https://t.co/U9guEuaaIO #Bioinformatics #Statisti…

Block Forests: random forests for blocks of clinical and omics covariate data https://t.co/U9guEuaaIO #Bioinformatics #Statistics @BMCBioinfo #Omics

Block Forests: random forests for blocks of clinical and omics covariate data https://t.co/h20c4T0q8S #bmcbioinformatics

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