AIMC Topic: Gene Expression Profiling

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Analysis of differentially expressed genes in rheumatoid arthritis and osteoarthritis by integrated microarray analysis.

Journal of cellular biochemistry Mar 4, 2019
BACKGROUND: Rheumatoid arthritis (RA) and osteoarthritis (OA) were two major types of joint diseases. This study aimed to explore the mechanism underlying OA and RA and analyze their difference by integrated analysis of multiple gene expression data ...
Humans Gene Expression Profiling Gene Expression Regulation Inhibitor of Apoptosis Proteins Chemokines Ubiquitin-Protein Ligases Gene Ontology Oligonucleotide Array Sequence Analysis Oxidative Phosphorylation Signal Transduction Synovial Membrane Osteoarthritis Protein Interaction Maps Gene Regulatory Networks Arthritis, Rheumatoid
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Architectures and accuracy of artificial neural network for disease classification from omics data.

BMC genomics Mar 4, 2019
BACKGROUND: Deep learning has made tremendous successes in numerous artificial intelligence applications and is unsurprisingly penetrating into various biomedical domains. High-throughput omics data in the form of molecular profile matrices, such as ...
Artificial Intelligence Machine Learning Algorithms Humans Neural Networks, Computer Support Vector Machine Metabolome Bayes Theorem Gene Expression Profiling Deep Learning Logistic Models
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Active learning using rough fuzzy classifier for cancer prediction from microarray gene expression data.

Journal of biomedical informatics Feb 22, 2019
Cancer classification from microarray gene expression data is one of the important areas of research in the field of computational biology and bioinformatics. Traditional supervised techniques often fail to produce desired accuracy as the number of c...
Supervised Machine Learning Algorithms Computational Biology Neoplasms Databases, Genetic Gene Expression Profiling Humans Fuzzy Logic
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Whale optimized mixed kernel function of support vector machine for colorectal cancer diagnosis.

Journal of biomedical informatics Feb 20, 2019
Microarray technique is a prevalent method for the classification and prediction of colorectal cancer (CRC). Nevertheless, microarray data suffers from the curse of dimensionality when selecting feature genes of the disease based on imbalance samples...
Algorithms Colorectal Neoplasms Gene Expression Profiling Transcriptome Support Vector Machine Humans Software
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Cell Identity Codes: Understanding Cell Identity from Gene Expression Profiles using Deep Neural Networks.

Scientific reports Feb 20, 2019
Understanding cell identity is an important task in many biomedical areas. Expression patterns of specific marker genes have been used to characterize some limited cell types, but exclusive markers are not available for many cell types. A second appr...
Cell Compartmentation Deep Learning Neural Networks, Computer Humans Algorithms Organ Specificity Gene Expression Profiling Cells
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Machine learning analysis of gene expression data reveals novel diagnostic and prognostic biomarkers and identifies therapeutic targets for soft tissue sarcomas.

PLoS computational biology Feb 20, 2019
Based on morphology it is often challenging to distinguish between the many different soft tissue sarcoma subtypes. Moreover, outcome of disease is highly variable even between patients with the same disease. Machine learning on transcriptome sequenc...
Databases, Genetic Sarcoma Kaplan-Meier Estimate Humans Gene Expression Profiling Machine Learning Male Transcriptome Prognosis Middle Aged Computational Biology Female Drug Discovery Biomarkers, Tumor
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Pancreatic cancer biomarker detection by two support vector strategies for recursive feature elimination.

Biomarkers in medicine Feb 15, 2019
AIM: Pancreatic cancer is one of the worst malignant tumors in prognosis. Therefore, to reduce the mortality rate of pancreatic cancer, early diagnosis and prompt treatment are particularly important.
Case-Control Studies Support Vector Machine Pancreatic Neoplasms Survival Rate Biomarkers, Tumor Gene Expression Profiling alpha-Macroglobulins Pancreas Proto-Oncogene Proteins c-fos Matrix Metalloproteinase 7 Humans Algorithms Prognosis
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A robust fuzzy rule based integrative feature selection strategy for gene expression data in TCGA.

BMC medical genomics Jan 31, 2019
BACKGROUND: Lots of researches have been conducted in the selection of gene signatures that could distinguish the cancer patients from the normal. However, it is still an open question on how to extract the robust gene features.
Fuzzy Logic Gene Expression Profiling Humans Genome, Human Genomics Neoplasms Computational Biology
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A Computational Framework for Genome-wide Characterization of the Human Disease Landscape.

Cell systems Jan 23, 2019
A key challenge for the diagnosis and treatment of complex human diseases is identifying their molecular basis. Here, we developed a unified computational framework, URSA (Unveiling RNA Sample Annotation for Human Diseases), that leverages machine le...
Genomics Humans Machine Learning Gene Expression Profiling Transcriptome
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A novel gene selection algorithm for cancer classification using microarray datasets.

BMC medical genomics Jan 15, 2019
BACKGROUND: Microarray datasets are an important medical diagnostic tool as they represent the states of a cell at the molecular level. Available microarray datasets for classifying cancer types generally have a fairly small sample size compared to t...
Computational Biology Support Vector Machine Mutation Neoplasms Oligonucleotide Array Sequence Analysis Gene Expression Profiling Genes, Neoplasm
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