AIMC Topic: Gene Expression Regulation, Neoplastic

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Cancer classification based on gene expression using neural networks.

Genetics and molecular research : GMR Dec 21, 2015
Based on gene expression, we have classified 53 colon cancer patients with UICC II into two groups: relapse and no relapse. Samples were taken from each patient, and gene information was extracted. Of the 53 samples examined, 500 genes were considere...
Algorithms Gene Expression Regulation, Neoplastic Colonic Neoplasms Humans Neural Networks, Computer
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Predicting target proteins for drug candidate compounds based on drug-induced gene expression data in a chemical structure-independent manner.

BMC medical genomics Dec 18, 2015
BACKGROUND: Phenotype-based high-throughput screening is a useful technique for identifying drug candidate compounds that have a desired phenotype. However, the molecular mechanisms of the hit compounds remain unknown, and substantial effort is requi...
Humans Gene Expression Regulation, Neoplastic Drug Screening Assays, Antitumor MCF-7 Cells Structure-Activity Relationship Machine Learning HL-60 Cells Neoplasms Antineoplastic Agents Transcriptome
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The feature selection bias problem in relation to high-dimensional gene data.

Artificial intelligence in medicine Nov 14, 2015
OBJECTIVE: Feature selection is a technique widely used in data mining. The aim is to select the best subset of features relevant to the problem being considered. In this paper, we consider feature selection for the classification of gene datasets. G...
Pattern Recognition, Automated Oligonucleotide Array Sequence Analysis Biomarkers, Tumor Humans Bias Support Vector Machine Algorithms Gene Expression Profiling Databases, Genetic Data Mining Computational Biology Decision Support Techniques Linear Models Gene Expression Regulation, Neoplastic Reproducibility of Results
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Machine Learning-based Classification of Diffuse Large B-cell Lymphoma Patients by Their Protein Expression Profiles.

Molecular & cellular proteomics : MCP Aug 26, 2015
Characterization of tumors at the molecular level has improved our knowledge of cancer causation and progression. Proteomic analysis of their signaling pathways promises to enhance our understanding of cancer aberrations at the functional level, but ...
Biomarkers, Tumor Lymphoma, Large B-Cell, Diffuse Cell Line, Tumor Gene Expression Regulation, Neoplastic Humans Machine Learning Principal Component Analysis Formaldehyde Apoptosis Regulatory Proteins Isotope Labeling GTPase-Activating Proteins Proteomics Proteome Signal Transduction Neoplasm Proteins Neprilysin Phosphoprotein Phosphatases Tissue Embedding Tissue Fixation
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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.
Gene Expression Profiling Lung Neoplasms Receptor Cross-Talk Protein Array Analysis Computational Biology Humans Adenocarcinoma Membrane Proteins Gene Expression Regulation, Neoplastic Gene Ontology Software Calcium Signal Transduction Adenocarcinoma of Lung Peroxisome Proliferator-Activated Receptors Collagen Type X
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Multi-class BCGA-ELM based classifier that identifies biomarkers associated with hallmarks of cancer.

BMC bioinformatics May 20, 2015
BACKGROUND: Traditional cancer treatments have centered on cytotoxic drugs and general purpose chemotherapy that may not be tailored to treat specific cancers. Identification of molecular markers that are related to different types of cancers might l...
Pattern Recognition, Automated Oligonucleotide Array Sequence Analysis Humans Neural Networks, Computer Artificial Intelligence Algorithms Biomarkers, Tumor Neoplasms Gene Expression Regulation, Neoplastic
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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...
Chemotherapy, Adjuvant Neoplasm Recurrence, Local Neoplasm Metastasis Proportional Hazards Models Kaplan-Meier Estimate Computational Biology Gene Expression Regulation, Neoplastic Treatment Outcome Carcinoma, Non-Small-Cell Lung Algorithms Humans Middle Aged Prognosis Neural Networks, Computer Aged Gene Expression Profiling Female Machine Learning Male Lung Neoplasms Reproducibility of Results
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Disentangling multidimensional spatio-temporal data into their common and aberrant responses.

PloS one Apr 22, 2015
With the advent of high-throughput measurement techniques, scientists and engineers are starting to grapple with massive data sets and encountering challenges with how to organize, process and extract information into meaningful structures. Multidime...
Lapatinib Mutation Proto-Oncogene Proteins c-akt Neural Networks, Computer Protein Array Analysis Humans Algorithms Quinazolines Female Biomarkers, Tumor Breast Neoplasms Gene Regulatory Networks Gene Expression Regulation, Neoplastic Principal Component Analysis
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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...
Humans Gene Expression Regulation, Neoplastic Algorithms Support Vector Machine Neoplasms Microarray Analysis Gene Expression Profiling
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Fuzzy logic selection as a new reliable tool to identify molecular grade signatures in breast cancer--the INNODIAG study.

BMC medical genomics Feb 7, 2015
BACKGROUND: Personalized medicine has become a priority in breast cancer patient management. In addition to the routinely used clinicopathological characteristics, clinicians will have to face an increasing amount of data derived from tumor molecular...
Neoplasm Recurrence, Local Oligonucleotide Array Sequence Analysis Databases, Genetic Fuzzy Logic Humans Neoplasm Invasiveness Decision Making Algorithms Breast Neoplasms Precision Medicine Prognosis Gene Expression Profiling Cohort Studies Computational Biology Female Reproducibility of Results Gene Expression Regulation, Neoplastic Sensitivity and Specificity
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