AIMC Topic: Multigene Family

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Detecting spatially co-expressed gene clusters with functional coherence by graph-regularized convolutional neural network.

Bioinformatics (Oxford, England) Feb 7, 2022
MOTIVATION: Clustering spatial-resolved gene expression is an essential analysis to reveal gene activities in the underlying morphological context by their functional roles. However, conventional clustering analysis does not consider gene expression ...
Software Animals Humans Neural Networks, Computer Genomics Multigene Family Gene Expression Profiling Mice
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Gene Ontology Semantic Similarity Analysis Using GOSemSim.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2020
The GOSemSim package, an R-based tool within the Bioconductor project, offers several methods based on information content and graph structure for measuring semantic similarity among GO terms, gene products and gene clusters. In this chapter, I illus...
Humans Computational Biology Semantics Multigene Family Software Gene Ontology
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Enrichment of Up-regulated and Down-regulated Gene Clusters Using Gene Ontology, miRNAs and lncRNAs in Colorectal Cancer.

Combinatorial chemistry & high throughput screening Jan 1, 2019
AIM AND OBJECTIVE: It is interesting to find the gene signatures of cancer stages based on the omics data. The aim of study was to evaluate and to enrich the array data using gene ontology and ncRNA databases in colorectal cancer.
Up-Regulation Gene Ontology High-Throughput Screening Assays Down-Regulation RNA, Long Noncoding Multigene Family Gene Expression Profiling Gene Regulatory Networks Databases, Genetic MicroRNAs Humans Colorectal Neoplasms
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Constructing a Risk Prediction Model for Lung Cancer Recurrence by Using Gene Function Clustering and Machine Learning.

Combinatorial chemistry & high throughput screening Jan 1, 2019
OBJECTIVE: A significant proportion of patients with early non-small cell lung cancer (NSCLC) can be cured by surgery. The distant metastasis of tumors is the most common cause of treatment failure. Precisely predicting the likelihood that a patient ...
Male Middle Aged Female Risk Factors Carcinoma, Non-Small-Cell Lung Models, Biological Lung Neoplasms Gene Expression Regulation, Neoplastic Humans Machine Learning Multigene Family Recurrence
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Feature selection using feature dissimilarity measure and density-based clustering: application to biological data.

Journal of biosciences Oct 1, 2015
Reduction of dimensionality has emerged as a routine process in modelling complex biological systems. A large number of feature selection techniques have been reported in the literature to improve model performance in terms of accuracy and speed. In ...
Gene Expression Arrhythmias, Cardiac Multigene Family Datasets as Topic Cluster Analysis Algorithms Humans Parkinson Disease Neoplasms Oligonucleotide Array Sequence Analysis Gene Expression Profiling Multifactor Dimensionality Reduction Computational Biology
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An effective fuzzy kernel clustering analysis approach for gene expression data.

Bio-medical materials and engineering Jan 1, 2015
Fuzzy clustering is an important tool for analyzing microarray data. A major problem in applying fuzzy clustering method to microarray gene expression data is the choice of parameters with cluster number and centers. This paper proposes a new approac...
Multigene Family Pattern Recognition, Automated Gene Expression Profiling Models, Statistical Computer Simulation Proteome Signal Transduction Humans Models, Biological Oligonucleotide Array Sequence Analysis Animals Fuzzy Logic Algorithms
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