AIMC Topic: Models, Genetic

Clear Filters Showing 151 to 160 of 345 articles

Identification of esophageal cancer pathway deviation and construction of a diagnosis model using three kernel genes.

Journal of cellular physiology Mar 5, 2019
The purpose of this study is to better understand the role of interleukin 35 (IL35) in esophageal carcinoma by comparing the mRNA level in Barrett's esophageal mucosa and in matched normal squamous mucosa and to understand how the diagnosis model wor...
Cyclic AMP Response Element-Binding Protein Esophageal Squamous Cell Carcinoma Hepatocyte Nuclear Factor 1-beta Nerve Tissue Proteins Predictive Value of Tests Esophageal Neoplasms Interleukin-12 Subunit p35 Case-Control Studies Deep Learning Gene Expression Regulation, Neoplastic Models, Genetic Databases, Genetic Early Detection of Cancer Biomarkers, Tumor Gene Expression Profiling Transcriptome Humans Reproducibility of Results
View on PubMed DOI

MMSplice: modular modeling improves the predictions of genetic variant effects on splicing.

Genome biology Mar 1, 2019
Predicting the effects of genetic variants on splicing is highly relevant for human genetics. We describe the framework MMSplice (modular modeling of splicing) with which we built the winning model of the CAGI5 exon skipping prediction challenge. The...
Genetic Variation Genetic Diseases, Inborn Alternative Splicing Neural Networks, Computer Models, Genetic
View on PubMed DOI

Stock Market Forecasting Using Restricted Gene Expression Programming.

Computational intelligence and neuroscience Feb 5, 2019
Stock index prediction is considered as a difficult task in the past decade. In order to predict stock index accurately, this paper proposes a novel prediction method based on S-system model. Restricted gene expression programming (RGEP) is proposed ...
Marketing Models, Genetic Models, Economic Commerce Algorithms Forecasting Humans Neural Networks, Computer
View on PubMed DOI

Using an optimal set of features with a machine learning-based approach to predict effector proteins for Legionella pneumophila.

PloS one Jan 25, 2019
Type IV secretion systems exist in a number of bacterial pathogens and are used to secrete effector proteins directly into host cells in order to change their environment making the environment hospitable for the bacteria. In recent years, several ma...
Legionella pneumophila Legionnaires' Disease Type IV Secretion Systems Humans Models, Genetic Support Vector Machine Bacterial Proteins Virulence Factors
View on PubMed DOI

Application of deep convolutional neural networks in classification of protein subcellular localization with microscopy images.

Genetic epidemiology Jan 4, 2019
Single-cell microscopy image analysis has proved invaluable in protein subcellular localization for inferring gene/protein function. Fluorescent-tagged proteins across cellular compartments are tracked and imaged in response to genetic or environment...
Neural Networks, Computer Algorithms Deep Learning Microscopy Saccharomyces cerevisiae Saccharomyces cerevisiae Proteins Image Processing, Computer-Assisted Models, Genetic Sample Size Subcellular Fractions
View on PubMed DOI

Discovering functional impacts of miRNAs in cancers using a causal deep learning model.

BMC medical genomics Dec 31, 2018
BACKGROUND: Micro-RNAs (miRNAs) play a significant role in regulating gene expression under physiological and pathological conditions such as cancers. However, it remains a challenging problem to discover the target messenger RNAs (mRNAs) of a miRNA ...
RNA, Neoplasm Models, Genetic MicroRNAs Models, Statistical Deep Learning RNA, Messenger Humans Neoplasms
View on PubMed DOI

Multi-trait, Multi-environment Deep Learning Modeling for Genomic-Enabled Prediction of Plant Traits.

G3 (Bethesda, Md.) Dec 10, 2018
Multi-trait and multi-environment data are common in animal and plant breeding programs. However, what is lacking are more powerful statistical models that can exploit the correlation between traits to improve prediction accuracy in the context of ge...
Machine Learning Models, Genetic Sequence Analysis, DNA Zea mays Triticum Genome, Plant Gene-Environment Interaction
View on PubMed DOI

Multi-environment Genomic Prediction of Plant Traits Using Deep Learners With Dense Architecture.

G3 (Bethesda, Md.) Dec 10, 2018
Genomic selection is revolutionizing plant breeding and therefore methods that improve prediction accuracy are useful. For this reason, active research is being conducted to build and test methods from other areas and adapt them to the context of gen...
Zea mays Triticum Quantitative Trait, Heritable Gene-Environment Interaction Models, Genetic Sequence Analysis, DNA Predictive Value of Tests Machine Learning
View on PubMed DOI

Modeling and Predicting the Activities of Trans-Acting Splicing Factors with Machine Learning.

Cell systems Nov 7, 2018
Alternative splicing (AS) is generally regulated by trans-splicing factors that specifically bind to cis-elements in pre-mRNAs. The human genome encodes ∼1,500 RNA binding proteins (RBPs) that potentially regulate AS, yet their functions remain large...
RNA Splicing Factors Computational Biology Models, Genetic Humans RNA Splicing Machine Learning
View on PubMed DOI

Generalized multifactor dimensionality reduction approaches to identification of genetic interactions underlying ordinal traits.

Genetic epidemiology Nov 2, 2018
The manifestation of complex traits is influenced by gene-gene and gene-environment interactions, and the identification of multifactor interactions is an important but challenging undertaking for genetic studies. Many complex phenotypes such as dise...
Principal Component Analysis Atherosclerosis Ethnicity Gene Regulatory Networks Genotype Humans Models, Genetic Phenotype Quantitative Trait, Heritable Computer Simulation Probability Risk Factors Epistasis, Genetic ROC Curve Multifactor Dimensionality Reduction
View on PubMed DOI
Popular Topics
Recent Journals