AIMC Topic: Multigene Family

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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.
RNA, Long Noncoding Multigene Family MicroRNAs Down-Regulation Up-Regulation High-Throughput Screening Assays Gene Expression Profiling Databases, Genetic Gene Regulatory Networks Humans Colorectal Neoplasms Gene Ontology
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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 ...
Lung Neoplasms Gene Expression Regulation, Neoplastic Middle Aged Multigene Family Male Female Humans Recurrence Machine Learning Models, Biological Carcinoma, Non-Small-Cell Lung Risk Factors
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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 ...
Multifactor Dimensionality Reduction Neoplasms Computational Biology Gene Expression Profiling Humans Multigene Family Algorithms Arrhythmias, Cardiac Parkinson Disease Oligonucleotide Array Sequence Analysis Cluster Analysis Gene Expression Datasets as Topic
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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...
Oligonucleotide Array Sequence Analysis Fuzzy Logic Animals Multigene Family Models, Biological Models, Statistical Pattern Recognition, Automated Signal Transduction Proteome Humans Gene Expression Profiling Algorithms Computer Simulation
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