A5034442417- Genetic Associations and Epidemiology
- Gene expression and cancer classification
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Escherichia coli research studies
- Neonatal Health and Biochemistry
- Hydraulic Fracturing and Reservoir Analysis
- Bacteriophages and microbial interactions
- Artificial Immune Systems Applications
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Genomic variations and chromosomal abnormalities
- Oil and Gas Production Techniques
- Diverse Interdisciplinary Research Innovations
- Genomics and Chromatin Dynamics
- Economic Development and Digital Transformation
- Cancer-related molecular mechanisms research
- Aerospace Engineering and Energy Systems
- Statistics Education and Methodologies
- Pulmonary Hypertension Research and Treatments
- Bioinformatics and Genomic Networks
- Neonatal and fetal brain pathology
- Underwater Vehicles and Communication Systems
- Bone and Joint Diseases
- Scientific Innovation and Industrial Efficiency
- Metaheuristic Optimization Algorithms Research
Gannan Normal University
2019-2025
Guangdong Police College
2006
An additive genetic model is usually employed in case-control-based genome-wide association studies. The encodes "AA", "Aa" and "aa" ("a" represents the minor allele) as three different numbers, implying contribution of genotype to phenotype from "AA" "aa". From perspective biological phenomena, coding reasonable since phenotypes lives are not "black white". A case-control based study, however, has only two phenotypes, case control, which means that It suggests a recessive/dominant may be an...
A swarm intelligence algorithm usually iterates many times to approximate the optimum obtain solution of a problem. The maximum iteration is influenced by factors such as itself, problem types, well dimensions and search space sizes decision variables. There are few existing studies on efficient iterations, especially large-scale study comparison for different types. By dividing three CEC benchmark sets into several this made performance 123 common algorithms from views. experimental results...
Background Convolutional neural networks have excellent modeling abilities to complex large-scale datasets and been applied genomics. It requires converting genotype data image format when employing convolutional genome-wide association studies. Existing studies the into grayscale images shown promising. However, may cause loss of information data. Methods In order make full use information, we proposed a new method, color-image-based networks, by color images. Results The experiments on...
The hypothesis of data probability density distributions has many effects on the design a new statistical method. Based analysis group real gene expression profiles, this study reveal that primary profiles are normal/log-normal and t distributions, accounting for 80% 19% respectively. According to these we generated series simulation make more comprehensive assessment novel method, maximal information coefficient (MIC). results show MIC is not only in top tier overall performance identifying...
In genome-wide association studies (GWAS), a wide variety of analysis tools have been designed, leading to various formats GWAS data. How convert dataset in non-PLINK format into PLINK use its powerful performance, or the other tools, is problem that needs be faced and solved. To address this issue, we developed tool called coPLINK, complementary PLINK, cooperate with implement conversions data provide some additional functions, such as files comparison. The can mutual not only between an...