about
The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models.The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundanceDTW-MIC Coexpression Networks from Time-Course Data.DGW: an exploratory data analysis tool for clustering and visualisation of epigenomic marksRegnANN: Reverse Engineering Gene Networks using Artificial Neural Networks.Algebraic comparison of partial lists in bioinformaticsMinerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers.Stability indicators in network reconstruction.The interplay between individual social behavior and clinical symptoms in small clustered groupsA Machine Learning Pipeline for Identification of Discriminant PathwaysA Machine Learning Pipeline for Discriminant Pathways IdentificationThe HIM glocal metric and kernel for network comparison and classification
P50
Q30512428-5B930807-EA21-4333-A757-5979DAD8D41DQ30844402-EB28F549-B405-4943-A68B-94AB9C4B86A9Q31065775-306D9BA8-5EEB-4A2F-9E5B-945CDD891297Q31155535-24169435-C80E-4B9E-A0BE-04D6CA403A88Q34116959-A850DDC1-AEBE-4022-9A32-03FF22EF5D61Q34277314-70AB063E-FEC2-4589-B749-8E4C0BFE1987Q34513638-8658A34D-0B0C-4171-A57F-6D487D2B0709Q35108162-34493A8A-135E-42B6-A5C1-9A187D8B2C99Q38659706-8A8FDACD-815F-4796-818C-6FFA09B657D0Q57314600-29503445-0A1A-4C98-8F50-452980987B6CQ57314604-016DE63D-4A39-48F9-8EC8-E64642CB5A06Q57314668-97CEAE8B-597C-4CA2-B3D9-7F79DB75B369
P50
description
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Roberto Visintainer
@ast
Roberto Visintainer
@en
Roberto Visintainer
@es
Roberto Visintainer
@nl
type
label
Roberto Visintainer
@ast
Roberto Visintainer
@en
Roberto Visintainer
@es
Roberto Visintainer
@nl
prefLabel
Roberto Visintainer
@ast
Roberto Visintainer
@en
Roberto Visintainer
@es
Roberto Visintainer
@nl
P106
P1153
36761614900
P21
P31
P496
0000-0003-1289-6871