AIMC Topic: Microarray Analysis

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Identification of informative genes and pathways using an improved penalized support vector machine with a weighting scheme.

Computers in biology and medicine Aug 4, 2016
Incorporation of pathway knowledge into microarray analysis has brought better biological interpretation of the analysis outcome. However, most pathway data are manually curated without specific biological context. Non-informative genes could be incl...
Humans Transcriptome Gene Regulatory Networks Mice Animals Neoplasms Gene Expression Profiling Apoptosis Microarray Analysis Cell Cycle Computational Biology Support Vector Machine
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Drug repositioning for non-small cell lung cancer by using machine learning algorithms and topological graph theory.

BMC bioinformatics Jan 11, 2016
BACKGROUND: Non-small cell lung cancer (NSCLC) is one of the leading causes of death globally, and research into NSCLC has been accumulating steadily over several years. Drug repositioning is the current trend in the pharmaceutical industry for ident...
Carcinoma, Non-Small-Cell Lung Neoplasm Proteins Drug Repositioning Microarray Analysis Gene Expression Regulation, Neoplastic Signal Transduction Models, Theoretical Antineoplastic Agents Lung Neoplasms Humans Machine Learning Algorithms Drug Discovery
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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...
Gene Ontology Models, Statistical Gene Expression Microarray Analysis
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Prediction of core cancer genes using a hybrid of feature selection and machine learning methods.

Genetics and molecular research : GMR Aug 3, 2015
Machine learning techniques are of great importance in the analysis of microarray expression data, and provide a systematic and promising way to predict core cancer genes. In this study, a hybrid strategy was introduced based on machine learning tech...
Microarray Analysis Humans Statistics as Topic Machine Learning Databases, Genetic Algorithms Predictive Value of Tests Neoplasms Genetic Testing Models, Genetic
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mRMR-ABC: A Hybrid Gene Selection Algorithm for Cancer Classification Using Microarray Gene Expression Profiling.

BioMed research international Apr 15, 2015
An artificial bee colony (ABC) is a relatively recent swarm intelligence optimization approach. In this paper, we propose the first attempt at applying ABC algorithm in analyzing a microarray gene expression profile. In addition, we propose an innova...
Support Vector Machine Humans Neoplasms Microarray Analysis Algorithms Gene Expression Profiling Gene Expression Regulation, Neoplastic
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A SERS-Assisted 3D Barcode Chip for High-Throughput Biosensing.

Small (Weinheim an der Bergstrasse, Germany) Feb 16, 2015
A surface enhanced Raman scattering (SERS)-assisted 3D barcode chip has been developed for high-throughput biosensing. The 3D barcode is realized through joint 2D spatial encoding with the Raman spectroscopic encoding, which stores the SERS fingerpri...
Equipment Failure Analysis Surface Plasmon Resonance Microarray Analysis Staining and Labeling Robotics Immunoassay Equipment Design
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Using Gene Ontology to Annotate and Prioritize Microarray Data.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2022
The results of high-throughput experiments consist of numerous candidate genes, proteins, or other molecules potentially associated with diseases. A challenge for omics science is the knowledge extraction from the results and the filtering of promisi...
Proteins Microarray Analysis Gene Ontology Computational Biology
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Study on the differentially expressed genes and signaling pathways in dermatomyositis using integrated bioinformatics method.

Medicine Aug 21, 2020
Dermatomyositis is a common connective tissue disease. The occurrence and development of dermatomyositis is a result of multiple factors, but its exact pathogenesis has not been fully elucidated. Here, we used biological information method to explore...
Humans Microarray Analysis Incidence Protein Interaction Maps Molecular Sequence Annotation Protein Binding Gene Ontology Double-Stranded RNA Binding Motif Computational Biology Interferon Type I Dermatomyositis Signal Transduction Down-Regulation Up-Regulation
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A hierarchical two-phase framework for selecting genes in cancer datasets with a neuro-fuzzy system.

Technology and health care : official journal of the European Society for Engineering and Medicine Apr 29, 2016
Finding the minimum number of appropriate biomarkers for specific targets such as a lung cancer has been a challenging issue in bioinformatics. We propose a hierarchical two-phase framework for selecting appropriate biomarkers that extracts candidate...
Genes, Neoplasm Choice Behavior Microarray Analysis Decision Making, Computer-Assisted Fuzzy Logic Datasets as Topic
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Preface.

Journal of biosciences Oct 1, 2015
Humans Machine Learning Gene Regulatory Networks Computational Biology Signal Transduction Microarray Analysis Multifactor Dimensionality Reduction High-Throughput Nucleotide Sequencing Plants Pattern Recognition, Automated Data Mining Gene Expression Regulation
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