AIMC Topic: Gene Expression Profiling

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Optimal combination of feature selection and classification via local hyperplane based learning strategy.

BMC bioinformatics Jul 10, 2015
BACKGROUND: Classifying cancers by gene selection is among the most important and challenging procedures in biomedicine. A major challenge is to design an effective method that eliminates irrelevant, redundant, or noisy genes from the classification,...
Cluster Analysis Discriminant Analysis Neoplasms Gene Expression Profiling Gene Regulatory Networks Support Vector Machine Humans Machine Learning
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Pairwise Constraint-Guided Sparse Learning for Feature Selection.

IEEE transactions on cybernetics Jul 6, 2015
Feature selection aims to identify the most informative features for a compact and accurate data representation. As typical supervised feature selection methods, Lasso and its variants using L1-norm-based regularization terms have received much atten...
Humans Data Mining Neuroimaging Databases, Factual Gene Expression Profiling Machine Learning Algorithms
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Computational assignment of cell-cycle stage from single-cell transcriptome data.

Methods (San Diego, Calif.) Jul 2, 2015
The transcriptome of single cells can reveal important information about cellular states and heterogeneity within populations of cells. Recently, single-cell RNA-sequencing has facilitated expression profiling of large numbers of single cells in para...
Machine Learning Animals Gene Expression Profiling Computational Biology Humans Cell Cycle Hepatocytes Cell Line, Tumor Transcriptome Embryonic Stem Cells Single-Cell Analysis Mice
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A tuberculosis ontology for host systems biology.

Tuberculosis (Edinburgh, Scotland) Jun 30, 2015
A major hurdle facing tuberculosis (TB) investigators who want to utilize a rapidly growing body of data from both systems biology approaches and omics technologies is the lack of a standard vocabulary for data annotation and reporting. Lacking a mea...
Gene Expression Regulation Host-Pathogen Interactions Terminology as Topic Gene Ontology Genetic Markers Tuberculosis Mycobacterium tuberculosis Humans Animals Systems Biology Databases, Genetic Gene Expression Profiling Transcriptome
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Prediction of feature genes in trauma patients with the TNF rs1800629 A allele using support vector machine.

Computers in biology and medicine Jun 9, 2015
BACKGROUND: Tumor necrosis factor (TNF)-α variant is closely linked to sepsis syndrome and mortality after severe trauma. We aimed to identify feature genes associated with the TNF rs1800629 A allele in trauma patients and help to direct them toward ...
Support Vector Machine Alleles Heme Oxygenase-1 Wounds and Injuries Humans Tumor Necrosis Factor-alpha Gene Expression Profiling Ribosomal Proteins
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Computer vision for image-based transcriptomics.

Methods (San Diego, Calif.) May 23, 2015
Single-cell transcriptomics has recently emerged as one of the most promising tools for understanding the diversity of the transcriptome among single cells. Image-based transcriptomics is unique compared to other methods as it does not require conver...
Gene Expression Profiling Humans Transcriptome Artificial Intelligence Single-Cell Analysis Algorithms Animals
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Bioinformatics approach reveals systematic mechanism underlying lung adenocarcinoma.

Tumori May 21, 2015
BACKGROUND: The purpose of this work was to explore the systematic molecular mechanism of lung adenocarcinoma and gain a deeper insight into it.
Calcium Humans Peroxisome Proliferator-Activated Receptors Software Computational Biology Protein Array Analysis Gene Expression Profiling Adenocarcinoma of Lung Gene Ontology Lung Neoplasms Membrane Proteins Gene Expression Regulation, Neoplastic Collagen Type X Signal Transduction Receptor Cross-Talk Adenocarcinoma
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Cancer adjuvant chemotherapy strategic classification by artificial neural network with gene expression data: An example for non-small cell lung cancer.

Journal of biomedical informatics May 18, 2015
PURPOSE: Adjuvant chemotherapy (ACT) is used after surgery to prevent recurrence or metastases. However, ACT for non-small cell lung cancer (NSCLC) is still controversial. This study aimed to develop prediction models to distinguish who is suitable f...
Algorithms Prognosis Female Male Middle Aged Reproducibility of Results Aged Humans Neural Networks, Computer Machine Learning Neoplasm Metastasis Proportional Hazards Models Kaplan-Meier Estimate Chemotherapy, Adjuvant Gene Expression Regulation, Neoplastic Treatment Outcome Carcinoma, Non-Small-Cell Lung Neoplasm Recurrence, Local Gene Expression Profiling Lung Neoplasms Computational Biology
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Deep convolutional neural networks for annotating gene expression patterns in the mouse brain.

BMC bioinformatics May 7, 2015
BACKGROUND: Profiling gene expression in brain structures at various spatial and temporal scales is essential to understanding how genes regulate the development of brain structures. The Allen Developing Mouse Brain Atlas provides high-resolution 3-D...
In Situ Hybridization Pattern Recognition, Automated Molecular Sequence Annotation Gene Expression Regulation, Developmental Gene Expression Profiling Image Processing, Computer-Assisted Mice Brain Neural Networks, Computer Animals
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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...
Microarray Analysis Gene Expression Profiling Humans Gene Expression Regulation, Neoplastic Support Vector Machine Algorithms Neoplasms
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