AIMC Topic: Oligonucleotide Array Sequence Analysis

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Feature selection for classification based on machine learning algorithms for prostate cancer.

Biomedical physics & engineering express Apr 30, 2025
Microarray technology has transformed the biotechnological research to next level in the recent years. It provides the expression levels of various genes involved in a particular disease. Prostate cancer disease turned into life threatening cancer. T...
Neural Networks, Computer Machine Learning Algorithms Humans Gene Expression Profiling Prostatic Neoplasms Oligonucleotide Array Sequence Analysis Biomarkers, Tumor Male
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ieGENES: A machine learning method for selecting differentially expressed genes in cancer studies.

Journal of biomedical informatics Feb 28, 2025
Gene selection is crucial for cancer classification using microarray data. In the interests of improving cancer classification accuracy, in this paper, we developed a new wrapper method called ieGENES for gene selection. First we proposed a parsimoni...
Humans Machine Learning Gene Expression Profiling Computational Biology Gene Expression Regulation, Neoplastic Algorithms Neoplasms Databases, Genetic Oligonucleotide Array Sequence Analysis
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A multi-classification deep neural network for cancer type identification from high-dimension, small-sample and imbalanced gene microarray data.

Scientific reports Feb 12, 2025
Gene microarray technology provides an efficient way to diagnose cancer. However, microarray gene expression data face the challenges of high-dimension, small-sample, and multi-class imbalance. The coupling of these challenges leads to inaccurate res...
Oligonucleotide Array Sequence Analysis Algorithms Neoplasms Computational Biology Gene Expression Profiling Databases, Genetic Humans Neural Networks, Computer
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Metaheuristic integrated machine learning classification of colon cancer using STFT LASSO and EHO feature extraction from microarray gene expressions.

Scientific reports Jul 17, 2024
The microarray gene expression data poses a tremendous challenge due to their curse of dimensionality problem. The sheer volume of features far surpasses available samples, leading to overfitting and reduced classification accuracy. Thus the dimensio...
Fourier Analysis Colonic Neoplasms Oligonucleotide Array Sequence Analysis Gene Expression Profiling Support Vector Machine Machine Learning Humans Lung Neoplasms Bayes Theorem Gene Expression Regulation, Neoplastic Algorithms
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Improving prediction of blood cancer using leukemia microarray gene data and Chi2 features with weighted convolutional neural network.

Scientific reports Jul 7, 2024
Blood cancer has emerged as a growing concern over the past decade, necessitating early diagnosis for timely and effective treatment. The present diagnostic method, which involves a battery of tests and medical experts, is costly and time-consuming. ...
Leukemia Supervised Machine Learning Oligonucleotide Array Sequence Analysis Neural Networks, Computer Machine Learning Hematologic Neoplasms Gene Expression Profiling Algorithms Humans
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A novel support vector machine-based 1-day, single-dose prediction model of genotoxic hepatocarcinogenicity in rats.

Archives of toxicology May 18, 2024
The development of a rapid and accurate model for determining the genotoxicity and carcinogenicity of chemicals is crucial for effective cancer risk assessment. This study aims to develop a 1-day, single-dose model for identifying genotoxic hepatocar...
Support Vector Machine Liver Mutagens Oligonucleotide Array Sequence Analysis Administration, Oral Gene Expression Profiling Rats Male Risk Assessment Reproducibility of Results Animals Carcinogens Carcinogenicity Tests
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A two-stage hybrid biomarker selection method based on ensemble filter and binary differential evolution incorporating binary African vultures optimization.

BMC bioinformatics Apr 4, 2023
BACKGROUND: In the field of genomics and personalized medicine, it is a key issue to find biomarkers directly related to the diagnosis of specific diseases from high-throughput gene microarray data. Feature selection technology can discover biomarker...
Algorithms Oligonucleotide Array Sequence Analysis Biomarkers Support Vector Machine
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Optofluidic imaging meets deep learning: from merging to emerging.

Lab on a chip Mar 1, 2023
Propelled by the striking advances in optical microscopy and deep learning (DL), the role of imaging in lab-on-a-chip has dramatically been transformed from a silo inspection tool to a quantitative "smart" engine. A suite of advanced optical microsco...
Lab-On-A-Chip Devices Deep Learning Oligonucleotide Array Sequence Analysis Image Processing, Computer-Assisted Microscopy
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An Efficient Feature Selection Algorithm for Gene Families Using NMF and ReliefF.

Genes Feb 6, 2023
Gene families, which are parts of a genome's information storage hierarchy, play a significant role in the development and diversity of multicellular organisms. Several studies have focused on the characteristics of gene families, such as function, h...
Algorithms Oligonucleotide Array Sequence Analysis Support Vector Machine Databases, Factual
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Similar color analysis based on deep learning (SCAD) for multiplex digital PCR a single fluorescent channel.

Lab on a chip Oct 11, 2022
Digital PCR (dPCR) has recently attracted great interest due to its high sensitivity and accuracy. However, the existing dPCR depends on multicolor fluorescent dyes and multiple fluorescent channels to achieve multiplex detection, resulting in increa...
Fluorescent Dyes Oligonucleotide Array Sequence Analysis Deep Learning Multiplex Polymerase Chain Reaction
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