AIMC Topic: Microarray Analysis

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A Unified Multi-Class Feature Selection Framework for Microarray Data.

IEEE/ACM transactions on computational biology and bioinformatics Dec 25, 2023
In feature selection research, simultaneous multi-class feature selection technologies are popular because they simultaneously select informative features for all classes. Recursive feature elimination (RFE) methods are state-of-the-art binary featur...
Algorithms Random Allocation Microarray Analysis Neural Networks, Computer
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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 ...
Reproducibility of Results Gene Expression Schizophrenia Humans Artificial Intelligence Microarray Analysis
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Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously.

Communications biology Feb 25, 2023
Large compendia of gene expression data have proven valuable for the discovery of novel biological relationships. Historically, most available RNA assays were run on microarray, while RNA-seq is now the platform of choice for many new experiments. Th...
Machine Learning Sequence Analysis, RNA Gene Expression Profiling Microarray Analysis RNA-Seq
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Machine Learning Informs RNA-Binding Chemical Space.

Angewandte Chemie (International ed. in English) Feb 6, 2023
Small molecule targeting of RNA has emerged as a new frontier in medicinal chemistry, but compared to the protein targeting literature our understanding of chemical matter that binds to RNA is limited. In this study, we reported Repository Of BInders...
Machine Learning Microarray Analysis Biological Assay RNA Gene Library
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Systems Drug Design for Muscle Invasive Bladder Cancer and Advanced Bladder Cancer by Genome-Wide Microarray Data and Deep Learning Method with Drug Design Specifications.

International journal of molecular sciences Nov 10, 2022
Bladder cancer is the 10th most common cancer worldwide. Due to the lack of understanding of the oncogenic mechanisms between muscle-invasive bladder cancer (MIBC) and advanced bladder cancer (ABC) and the limitations of current treatments, novel the...
Humans Drug Design Microarray Analysis Muscles Deep Learning Urinary Bladder Neoplasms
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An ensemble framework for microarray data classification based on feature subspace partitioning.

Computers in biology and medicine Jul 14, 2022
Feature selection is exposed to the curse of dimensionality risk, and it is even more exacerbated with high-dimensional data such as microarrays. Moreover, the low-instance/high-feature (LIHF) property of microarray data needs considerable processing...
Microarray Analysis Machine Learning Algorithms
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Low-precision feature selection on microarray data: an information theoretic approach.

Medical & biological engineering & computing Mar 22, 2022
The number of interconnected devices, such as personal wearables, cars, and smart-homes, surrounding us every day has recently increased. The Internet of Things devices monitor many processes, and have the capacity of using machine learning models fo...
Machine Learning Information Storage and Retrieval Microarray Analysis Algorithms
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Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model.

Scientific reports Jan 19, 2022
Blood cancer has been a growing concern during the last decade and requires early diagnosis to start proper treatment. The diagnosis process is costly and time-consuming involving medical experts and several tests. Thus, an automatic diagnosis system...
Leukemia Supervised Machine Learning Microarray Analysis Hematologic Neoplasms Logistic Models Humans
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Systems biology and machine learning approaches identify drug targets in diabetic nephropathy.

Scientific reports Dec 6, 2021
Diabetic nephropathy (DN), the leading cause of end-stage renal disease, has become a massive global health burden. Despite considerable efforts, the underlying mechanisms have not yet been comprehensively understood. In this study, a systematic appr...
Epigenesis, Genetic Signal Transduction Cluster Analysis MicroRNAs Support Vector Machine Computational Biology Systems Biology Mice Diabetic Nephropathies Oligonucleotide Array Sequence Analysis Mice, Inbred DBA Linear Models Machine Learning Regression Analysis Drug Design Kidney Medulla Chemistry, Pharmaceutical Algorithms Principal Component Analysis Gene Expression Profiling Humans Microarray Analysis Animals Male Kidney Cortex Gene Regulatory Networks Global Health
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Identification of Alzheimer associated differentially expressed gene through microarray data and transfer learning-based image analysis.

Neuroscience letters Nov 19, 2021
Major factors contribute to mental stress and enhance the progression of late-onset Alzheimer's disease (AD). The factors that lead to neurodegeneration, such as tau protein hyperphosphorylation and increased amyloid-beta production, can be mimicked ...
Microarray Analysis Transcriptome Image Processing, Computer-Assisted Alzheimer Disease Animals Humans Rats Hippocampus Gene Expression Profiling Neural Networks, Computer
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