Multi‐omic landsca** of human midbrains identifies disease‐relevant molecular targets and pathways in advanced‐stage Parkinson's disease
Background Parkinson's disease (PD) is the second most common neurodegenerative
disorder whose prevalence is rapidly increasing worldwide. The molecular mechanisms …
disorder whose prevalence is rapidly increasing worldwide. The molecular mechanisms …
Distinguishing childhood absence epilepsy patients from controls by the analysis of their background brain electrical activity (II): a combinatorial optimization approach …
In this sequel to our previous work [Rosso OA, Mendes A, Rostas JA, Hunter M, Moscato P.
Distinguishing childhood absence epilepsy patients from controls by the analysis of their …
Distinguishing childhood absence epilepsy patients from controls by the analysis of their …
Identification of crucial genes associated with Parkinson's disease using microarray data
Y Sun, L Ye, Y Zheng, Z Yang - Molecular Medicine …, 2018 - spandidos-publications.com
The present study aimed to examine potential crucial genes associated with Parkinson's
disease (PD) in addition to the interactions and regulators of these genes. The chip data …
disease (PD) in addition to the interactions and regulators of these genes. The chip data …
Novel Biomarkers for Prostate Cancer Revealed by (α,β)-k-Feature Sets
In this chapter we present a method based on the (α, β)-k-feature set problem for identifying
relevant attributes in high-dimensional datasets for classification purposes. We present a …
relevant attributes in high-dimensional datasets for classification purposes. We present a …
A new combinatorial optimization approach for integrated feature selection using different datasets: a prostate cancer transcriptomic study
Background The joint study of multiple datasets has become a common technique for
increasing statistical power in detecting biomarkers obtained from smaller studies. The …
increasing statistical power in detecting biomarkers obtained from smaller studies. The …
A multi-objective approach for the (α, β)-k-feature set problem using memetic algorithms
Nowadays, the ceaseless data gathering in science and technology is bringing new
challenges. Companies use the collected data to create new digital services and products …
challenges. Companies use the collected data to create new digital services and products …
[PDF][PDF] The multi-objective approach to solve the (α, β)-k Feature Set Problem using Memetic Algorithms
F Jimenez - 2019 - nova.newcastle.edu.au
In the contemporary world, we are confronted with a data avalanche because of the
introduction of new technologies such as global positioning systems (GPS), smartphones …
introduction of new technologies such as global positioning systems (GPS), smartphones …