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Toplam kayıt 9, listelenen: 1-9
Machine Learning Analysis of Inflammatory Bowel Disease-Associated Metagenomics Dataset
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)
There is an ongoing interplay between humans and our microbial communities. The microorganisms living in our gut produce energy from our food, strengthen our immune system, break down foreign products, and release metabolites ...
Identify Commonly Affected Pathways in Psychiatric Diseases
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)
Genome-wide association studies (GWAS) are an extraordinary source of information when it comes to revealing the common variations of human complex diseases. Until now, the large amount of data generated from these studies ...
Evaluation of Classification Algorithms, Linear Discriminant Analysis and a New Hybrid Feature Selection Methodology for the Diagnosis of Coronary Artery Disease
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)
According to the World Health Organization (WHO), 31% of the world's total deaths in 2016 (17.9 million) was due to cardiovascular diseases (CVD). With the development of information technologies, it has become possible ...
The Effect of Different Classifiers on Recursive Cluster Elimination in the Analysis of Transcriptomic Data
(Institute of Electrical and Electronics Engineers Inc., 2023)
Gene expression data with limited sample size and
a large number of genes are frequently encountered in genetic
studies. In such high-dimensional data, identification of genes
that distinguish between disease states is ...
Effect of Recursive Cluster Elimination with Different Clustering Algorithms Applied to Gene Expression Data
(Institute of Electrical and Electronics Engineers Inc., 2023)
Feature selection (FS) is an effective tool in
dealing with high dimensionality and reducing computational
cost. Support Vector Machines – Recursive Cluster Elimination
(SVM-RCE) is one of several algorithms that have ...
miRcorrNetPro: Unraveling Algorithmic Insights through Cross-Validation in Multi-Omics Integration for Comprehensive Data Analysis
(Institute of Electrical and Electronics Engineers Inc., 2023)
High throughput -omics technologies facilitate the
investigation of regulatory mechanisms of complex diseases.
Along this line, scientists develop promising tools and methods
to extend our understanding at the molecular ...
A comparative study on psychiatric disorders: Identification of shared pathways and common agents
(Institute of Electrical and Electronics Engineers Inc., 2022)
Distinct but closely related diseases generally
present shared symptoms, which address possible overlaps
among their pathogenic mechanisms. Identification of
significantly impacted shared pathways and other common
agents ...
The relationship between TSH levels, maternal characteristics and racial group of the aneuploidy screening
(Institute of Electrical and Electronics Engineers Inc., 2022)
First-trimester maternal screening is a widely
used test for detecting fetal aneuploidies and neural tube
defects for over two decades. Human chorionic gonadotropin
hormone (beta-hCG) and pregnancy-associated plasma
protein ...
Integrative analyses in omics data: Machine learning perspective
(Deutsche Gesellschaft fur Medizinische Informatik, Biometrie und Epidemiologie e.V., 2023)
Developments in the high throughput technologies have enabled the production of an immense amount of knowledge at the multi-omics level. Considering complex diseases which are affected by multi-factors, single omics datasets ...