AIMC Topic: Gene Expression

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MS-ACGAN: A modified auxiliary classifier generative adversarial network for schizophrenia's samples augmentation based on microarray gene expression data.

Computers in biology and medicine May 26, 2023
Artificial intelligence-based models and robust computational methods have expedited the data-to-knowledge trajectory in precision medicine. Although machine learning models have been widely applied in medical data analysis, some barriers are yet to ...
Humans Artificial Intelligence Schizophrenia Microarray Analysis Gene Expression Reproducibility of Results
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Designing artificial synthetic promoters for accurate, smart, and versatile gene expression in plants.

Plant communications Feb 9, 2023
With the development of high-throughput biology techniques and artificial intelligence, it has become increasingly feasible to design and construct artificial biological parts, modules, circuits, and even whole systems. To overcome the limitations of...
Promoter Regions, Genetic Gene Expression Artificial Intelligence Synthetic Biology Crops, Agricultural
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Constrained neuro fuzzy inference methodology for explainable personalised modelling with applications on gene expression data.

Scientific reports Jan 9, 2023
Interpretable machine learning models for gene expression datasets are important for understanding the decision-making process of a classifier and gaining insights on the underlying molecular processes of genetic conditions. Interpretable models can ...
Algorithms Bipolar Disorder Neural Networks, Computer Humans Early Detection of Cancer Gene Expression Fuzzy Logic
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Ensemble learning based assessment of the role of transcription factors in gene expression.

Computers in biology and medicine Dec 21, 2022
Cancer cells are formed when the associated, active genes fail to function the way they are meant to function. Multiple genes collectively control cell growth by activating a proper set of genes. Regulation of gene expression is controlled through th...
Gene Expression Regulation Promoter Regions, Genetic Gene Expression Machine Learning Transcription Factors Cell Line, Tumor
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Off the deep end: What can deep learning do for the gene expression field?

The Journal of biological chemistry Nov 30, 2022
After a COVID-related hiatus, the fifth biennial symposium on Evolution and Core Processes in Gene Regulation met at the Stowers Institute in Kansas City, Missouri July 21 to 24, 2022. This symposium, sponsored by the American Society for Biochemistr...
Gene Expression Deep Learning Genomics COVID-19 Neural Networks, Computer Humans
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Protocol to identify functional doppelgängers and verify biomedical gene expression data using doppelgangerIdentifier.

STAR protocols Oct 26, 2022
Functional doppelgängers (FDs) are independently derived sample pairs that confound machine learning model (ML) performance when assorted across training and validation sets. Here, we detail the use of doppelgangerIdentifier (DI), providing software ...
Machine Learning Gene Expression Software
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Deep learning approach for cancer subtype classification using high-dimensional gene expression data.

BMC bioinformatics Oct 17, 2022
MOTIVATION: Studies have shown that classifying cancer subtypes can provide valuable information for a range of cancer research, from aetiology and tumour biology to prognosis and personalized treatment. Current methods usually adopt gene expression ...
Gene Expression Deep Learning Algorithms Neoplasms Neural Networks, Computer
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A robust prediction model for evaluation of plastic limit based on sieve # 200 passing material using gene expression programming.

PloS one Oct 3, 2022
This study aims to propose a novel and high-accuracy prediction model of plastic limit (PL) based on soil particles passing through sieve # 200 (0.075 mm) using gene expression programming (GEP). PL is used for the classification of fine-grained soil...
Sand Gene Expression Clay Plastics Soil Reproducibility of Results Artificial Intelligence
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Machine learning approach identifies prominent codons from different degenerate groups influencing gene expression in bacteria.

Genes to cells : devoted to molecular & cellular mechanisms Aug 22, 2022
Unequal usage of synonymous codons is known as codon usage bias (CUB), which is generally different between the high-expression genes (HEG) and low-expression genes (LEG) in organisms is not yet adequately reported across different bacteria. In this ...
Machine Learning Bacteria Codon Gene Expression
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A survey on gene expression data analysis using deep learning methods for cancer diagnosis.

Progress in biophysics and molecular biology Aug 19, 2022
Gene Expression Data is the biological data to extract meaningful hidden information from the gene dataset. This gene information is used for disease diagnosis especially in cancer treatment based on the variations in gene expression levels. DNA micr...
Gene Expression Gene Expression Profiling Deep Learning Neoplasms Neural Networks, Computer Data Analysis
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