AIMC Topic: Oligonucleotide Array Sequence Analysis

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A fast gene selection method for multi-cancer classification using multiple support vector data description.

Journal of biomedical informatics Dec 27, 2014
For cancer classification problems based on gene expression, the data usually has only a few dozen sizes but has thousands to tens of thousands of genes which could contain a large number of irrelevant genes. A robust feature selection algorithm is r...
Gene Expression Regulation, Leukemic Gene Expression Regulation, Neoplastic Leukemia Support Vector Machine Models, Statistical Bayes Theorem Gene Expression Colonic Neoplasms Pattern Recognition, Automated Oligonucleotide Array Sequence Analysis Humans Artificial Intelligence Software Algorithms Neoplasms Gene Expression Profiling Diagnosis, Computer-Assisted
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Molecular classification of amyotrophic lateral sclerosis by unsupervised clustering of gene expression in motor cortex.

Neurobiology of disease Dec 10, 2014
Amyotrophic lateral sclerosis (ALS) is a rapidly progressive and ultimately fatal neurodegenerative disease, caused by the loss of motor neurons in the brain and spinal cord. Although 10% of ALS cases are familial (FALS), the majority are sporadic (S...
Immunohistochemistry Oligonucleotide Array Sequence Analysis Motor Cortex Aged Adult Male Middle Aged Unsupervised Machine Learning Gene Expression Gene Expression Profiling Humans Amyotrophic Lateral Sclerosis Real-Time Polymerase Chain Reaction Female White People RNA, Messenger Cluster Analysis
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Selective invocation of shape priors for deformable segmentation and morphologic classification of prostate cancer tissue microarrays.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Nov 12, 2014
Shape based active contours have emerged as a natural solution to overlap resolution. However, most of these shape-based methods are computationally expensive. There are instances in an image where no overlapping objects are present and applying thes...
Cell Nucleus Shape Pattern Recognition, Automated Image Enhancement Oligonucleotide Array Sequence Analysis Subtraction Technique Neoplasm Grading Microscopy Image Interpretation, Computer-Assisted Humans Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity Male Prostatic Neoplasms
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Inter-species pathway perturbation prediction via data-driven detection of functional homology.

Bioinformatics (Oxford, England) Aug 22, 2014
MOTIVATION: Experiments in animal models are often conducted to infer how humans will respond to stimuli by assuming that the same biological pathways will be affected in both organisms. The limitations of this assumption were tested in the IMPROVER ...
Cells, Cultured Cytokines Databases, Factual Bronchi Animals Humans Gene Expression Profiling Artificial Intelligence Systems Biology Gene Expression Regulation Software Rats Models, Animal Algorithms Signal Transduction Epithelial Cells Species Specificity Oligonucleotide Array Sequence Analysis Phosphorylation Translational Research, Biomedical Phosphoproteins
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The limitations of simple gene set enrichment analysis assuming gene independence.

Statistical methods in medical research Oct 14, 2012
Since its first publication in 2003, the Gene Set Enrichment Analysis method, based on the Kolmogorov-Smirnov statistic, has been heavily used, modified, and also questioned. Recently a simplified approach using a one-sample t-test score to assess en...
Oligonucleotide Array Sequence Analysis Epistasis, Genetic Biostatistics Humans Gene Expression Profiling Databases, Genetic Models, Statistical Knowledge Bases Genome, Human Statistics, Nonparametric
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Establishment of diagnostic model and identification of diagnostic markers between liver cancer and cirrhosis based on multi-chip and machine learning.

Clinical and experimental pharmacology & physiology Aug 1, 2024
OBJECTIVE: Most cases of hepatocellular carcinoma (HCC) arise as a consequence of cirrhosis. In this study, our objective is to construct a comprehensive diagnostic model that investigates the diagnostic markers distinguishing between cirrhosis and H...
Liver Neoplasms Carcinoma, Hepatocellular Gene Expression Regulation, Neoplastic Liver Cirrhosis Humans Machine Learning Biomarkers, Tumor Gene Expression Profiling Diagnosis, Differential Oligonucleotide Array Sequence Analysis
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Screening of key immunerelated gene in Parkinsons disease based on WGCNA and machine learning.

Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences Feb 28, 2024
OBJECTIVES: Abnormal immune system activation and inflammation are crucial in causing Parkinson's disease. However, we still don't fully understand how certain immune-related genes contribute to the disease's development and progression. This study a...
Gene Expression Profiling Gene Regulatory Networks Computational Biology Signal Transduction Databases, Genetic Humans Machine Learning Parkinson Disease Gene Ontology Oligonucleotide Array Sequence Analysis
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Meta-Learning on Augmented Gene Expression Profiles for Enhanced Lung Cancer Detection.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Gene expression profiles obtained through DNA microarray have proven successful in providing critical information for cancer detection classifiers. However, the limited number of samples in these datasets poses a challenge to employ complex methodolo...
Gene Expression Profiling Deep Learning Lung Neoplasms Oligonucleotide Array Sequence Analysis Humans Machine Learning
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Chaotic emperor penguin optimised extreme learning machine for microarray cancer classification.

IET systems biology Apr 1, 2020
Microarray technology plays a significant role in cancer classification, where a large number of genes and samples are simultaneously analysed. For the efficient analysis of the microarray data, there is a great demand for the development of intellig...
Computational Biology Humans Machine Learning Oligonucleotide Array Sequence Analysis Neoplasms
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Avoiding common pitfalls in machine learning omic data science.

Nature materials May 1, 2019
Machine Learning Algorithms Phenotype Data Science Humans Genetic Variation Oligonucleotide Array Sequence Analysis Medical Errors Cell Biology Genomics Computational Biology Proteomics Models, Theoretical
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