Selection of genetic and phenotypic features associated with inflammatory status of patients on dialysis using relaxed linear separability method.
Identification of risk factors in patients with a particular disease can be analyzed in clinical data sets by using feature selection procedures of pattern recognition and data mining methods. The applicability of the relaxed linear separability (RLS) method of feature subset selection was checked for high-dimensional and mixed type (genetic and phenotypic) clinical data of patients with end-stage renal disease. The RLS method allowed for substantial reduction of the dimensionality through omitting redundant features while maintaining the linear separability of data sets of patients with high and low levels of an inflammatory biomarker. The synergy between genetic and phenotypic features in differentiation between these two subgroups was demonstrated.
Institute of Biocybernetics and Biomedical Engineering, Warsaw, Poland ; Bialystok University of Technology, Bialystok, Poland.
Leon
L
Bobrowski
Bialystok University of Technology, Bialystok, Poland.
Tomasz
T
Łukaszuk
Baxter Novum and Renal Medicine, Karolinska Institutet, Stockholm, Sweden.
Bengt
B
Lindholm
Baxter Novum and Renal Medicine, Karolinska Institutet, Stockholm, Sweden.
Peter
P
Stenvinkel
Baxter Novum and Renal Medicine, Karolinska Institutet, Stockholm, Sweden.
Olof
O
Heimburger
Baxter Novum and Renal Medicine, Karolinska Institutet, Stockholm, Sweden.
Jonas
J
Axelsson
Baxter Novum and Renal Medicine, Karolinska Institutet, Stockholm, Sweden.
Peter
P
Bárány
Baxter Novum and Renal Medicine, Karolinska Institutet, Stockholm, Sweden ; Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.
Juan Jesus
JJ
Carrero
Baxter Novum and Renal Medicine, Karolinska Institutet, Stockholm, Sweden.
Abdul Rashid
AR
Qureshi
Baxter Novum and Renal Medicine, Karolinska Institutet, Stockholm, Sweden ; Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.
Karin
K
Luttropp
Institute of Biocybernetics and Biomedical Engineering, Warsaw, Poland ; Baxter Novum and Renal Medicine, Karolinska Institutet, Stockholm, Sweden.
Malgorzata
M
Debowska
Baxter Novum and Renal Medicine, Karolinska Institutet, Stockholm, Sweden ; Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.
Louise
L
Nordfors
Baxter Novum and Renal Medicine, Karolinska Institutet, Stockholm, Sweden ; Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.
Martin
M
Schalling
Institute of Biocybernetics and Biomedical Engineering, Warsaw, Poland.
Jacek
J
Waniewski
D000465:Algorithms; D006801:Humans; D007249:Inflammation / Q000235:genetics* / Q000473:pathology*; D010641:Phenotype; D006435:Renal Dialysis; D015203:Reproducibility of Results