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Papers: 10.1371/journal.pgen.1009713

https://doi.org/10.1371/journal.pgen.1009713

Multitrait GWAS to connect disease variants and biological mechanisms

Cited by: 12
Author(s): Hanna Julienne, Vincent Laville, Zachary R. McCaw, Zihuai He, Vincent Guillemot, Carla Lasry, Andrey Ziyatdinov, Cyril Nerin, Amaury Vaysse, Pierre Lechat, Hervé Ménager, Wilfried Le Goff, Marie‐Pierre Dubé, Peter Kraft, Iuliana Ionita‐Laza, Bjarni J. Vilhjálmsson, Hugues Aschard
Published: about 5 years ago

Software Mentions 4

cran: MGMM
Missingness Aware Gaussian Mixture Models
Papers that mentioned: 2
Very Likely Science (83)
cran: UpSetR
A More Scalable Alternative to Venn and Euler Diagrams for Visualizing Intersecting Sets
Papers that mentioned: 319
Very Likely Science (100)
pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)