AIMC Topic: Gene Expression

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Construction and characterization of recombinant adenovirus carrying a mouse TIGIT-GFP gene.

Genetics and molecular research : GMR Dec 29, 2015
Recombinant adenovirus vector systems have been used extensively in protein research and gene therapy. However, the construction and characterization of recombinant adenovirus is a tedious and time-consuming process. TIGIT is a recently discovered im...
Transduction, Genetic Receptors, Immunologic Green Fluorescent Proteins Gene Order Cell Line Recombinant Fusion Proteins Humans Adenoviridae Animals Gene Expression Genetic Vectors Mice Hepatocytes
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canSAR: an updated cancer research and drug discovery knowledgebase.

Nucleic acids research Dec 15, 2015
canSAR (http://cansar.icr.ac.uk) is a publicly available, multidisciplinary, cancer-focused knowledgebase developed to support cancer translational research and drug discovery. canSAR integrates genomic, protein, pharmacological, drug and chemical da...
Antineoplastic Agents Cell Line, Tumor Neoplasm Proteins Animals Neoplasms Drug Discovery Gene Expression Knowledge Bases Clinical Trials as Topic Humans
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Multimodal probabilistic generative models for time-course gene expression data and Gene Ontology (GO) tags.

Mathematical biosciences Aug 17, 2015
We propose four probabilistic generative models for simultaneously modeling gene expression levels and Gene Ontology (GO) tags. Unlike previous approaches for using GO tags, the joint modeling framework allows the two sources of information to comple...
Models, Statistical Gene Expression Microarray Analysis Gene Ontology
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Bioinformatics, interaction network analysis, and neural networks to characterize gene expression of radicular cyst and periapical granuloma.

Journal of endodontics Apr 11, 2015
INTRODUCTION: Bioinformatics has emerged as an important tool to analyze the large amount of data generated by research in different diseases. In this study, gene expression for radicular cysts (RCs) and periapical granulomas (PGs) was characterized ...
Radicular Cyst Computational Biology Gene Expression Humans Periapical Granuloma Neural Networks, Computer Algorithms Gene Regulatory Networks
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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...
Oligonucleotide Array Sequence Analysis Software Gene Expression Regulation, Leukemic Algorithms Support Vector Machine Leukemia Gene Expression Profiling Neoplasms Models, Statistical Humans Diagnosis, Computer-Assisted Gene Expression Bayes Theorem Artificial Intelligence Gene Expression Regulation, Neoplastic Colonic Neoplasms Pattern Recognition, Automated
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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...
Humans Female Aged Adult Male Amyotrophic Lateral Sclerosis Cluster Analysis Oligonucleotide Array Sequence Analysis Middle Aged White People Unsupervised Machine Learning Motor Cortex Immunohistochemistry Gene Expression Gene Expression Profiling Real-Time Polymerase Chain Reaction RNA, Messenger
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Machine learning ranking of plausible (un)explored synergistic gene combinations using sensitivity indices of time series measurements of Wnt signaling pathway.

Integrative biology : quantitative biosciences from nano to macro Jan 23, 2024
Combinations of genes or proteins work in synergy at different times and durations in a signaling pathway. However, which combinations are prevalent at a particular time point or duration is mostly not known. Sensitivity analysis plays a major role i...
Frizzled Receptors Gene Expression Machine Learning Wnt Signaling Pathway Wnt Proteins
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Self-supervised deep learning of gene-gene interactions for improved gene expression recovery.

Briefings in bioinformatics Jan 22, 2024
Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool to gain biological insights at the cellular level. However, due to technical limitations of the existing sequencing technologies, low gene expression values are often omitted, lead...
Gene Expression Data Analysis Epistasis, Genetic Gene Expression Profiling Deep Learning Genomics Sequence Analysis, RNA
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An effective deep learning-based approach for splice site identification in gene expression.

Science progress Jan 1, 2024
A crucial stage in eukaryote gene expression involves mRNA splicing by a protein assembly known as the spliceosome. This step significantly contributes to generating and properly operating the ultimate gene product. Since non-coding introns disrupt e...
Neural Networks, Computer Algorithms Deep Learning Humans Introns RNA Splicing Exons RNA Splice Sites Computational Biology RNA, Messenger Gene Expression
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Identification of significant gene expression changes in multiple perturbation experiments using knockoffs.

Briefings in bioinformatics Mar 19, 2023
Large-scale multiple perturbation experiments have the potential to reveal a more detailed understanding of the molecular pathways that respond to genetic and environmental changes. A key question in these studies is which gene expression changes are...
Humans Neural Networks, Computer Gene Regulatory Networks Gene Expression Gene Library
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