AIMC Topic: Oligonucleotide Array Sequence Analysis

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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...
Humans Algorithms Oligonucleotide Array Sequence Analysis Support Vector Machine Databases, Genetic Bias Data Mining Linear Models Pattern Recognition, Automated Decision Support Techniques Reproducibility of Results Biomarkers, Tumor Gene Expression Profiling Computational Biology Gene Expression Regulation, Neoplastic
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Microarray expression profiling and gene ontology analysis of long non-coding RNAs in spontaneously hypertensive rats and their potential roles in the pathogenesis of hypertension.

Molecular medicine reports Nov 11, 2015
Long non-coding RNAs (lncRNAs) have been demonstrated to be significant in numerous biological processes. Hypertension is a form of cardiovascular disease with at least one billion cases worldwide. The present study sought to compare the differential...
Gene Expression Profiling Real-Time Polymerase Chain Reaction Hypertension Reproducibility of Results Animals Gene Ontology Oligonucleotide Array Sequence Analysis RNA, Long Noncoding Rats, Inbred SHR Rats, Inbred WKY Gene Expression Regulation Down-Regulation
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Prioritizing Clinically Relevant Copy Number Variation from Genetic Interactions and Gene Function Data.

PloS one Oct 5, 2015
It is becoming increasingly necessary to develop computerized methods for identifying the few disease-causing variants from hundreds discovered in each individual patient. This problem is especially relevant for Copy Number Variants (CNVs), which can...
Genetic Variation Developmental Disabilities Gene Ontology Models, Genetic Causality Mutation Humans Genetic Diseases, Inborn Gene Regulatory Networks Oligonucleotide Array Sequence Analysis Genetic Predisposition to Disease Congenital Abnormalities Genetic Association Studies Gene Dosage
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Inferring Association between Compound and Pathway with an Improved Ensemble Learning Method.

Molecular informatics Aug 6, 2015
Emergence of compound molecular data coupled to pathway information offers the possibility of using machine learning methods for compound-pathway associations' inference. To provide insights into the global relationship between compounds and their af...
Molecular Structure Oligonucleotide Array Sequence Analysis Antineoplastic Agents Humans Databases, Genetic Algorithms MCF-7 Cells Drug Discovery
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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...
Neural Networks, Computer Artificial Intelligence Algorithms Humans Pattern Recognition, Automated Oligonucleotide Array Sequence Analysis Biomarkers, Tumor Neoplasms Gene Expression Regulation, Neoplastic
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Improving PLS-RFE based gene selection for microarray data classification.

Computers in biology and medicine Apr 17, 2015
Gene selection plays a crucial role in constructing efficient classifiers for microarray data classification, since microarray data is characterized by high dimensionality and small sample sizes and contains irrelevant and redundant genes. In practic...
Support Vector Machine Oligonucleotide Array Sequence Analysis Models, Theoretical
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Clustering high throughput biological data with B-MST, a minimum spanning tree based heuristic.

Computers in biology and medicine Apr 14, 2015
To address important challenges in bioinformatics, high throughput data technologies are needed to interpret biological data efficiently and reliably. Clustering is widely used as a first step to interpreting high dimensional biological data, such as...
Gene Expression Regulation Electronic Data Processing Gene Ontology Oligonucleotide Array Sequence Analysis Computer Heuristics
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Genetic Bee Colony (GBC) algorithm: A new gene selection method for microarray cancer classification.

Computational biology and chemistry Mar 18, 2015
Naturally inspired evolutionary algorithms prove effectiveness when used for solving feature selection and classification problems. Artificial Bee Colony (ABC) is a relatively new swarm intelligence method. In this paper, we propose a new hybrid gene...
Neoplasms Transcriptome Oligonucleotide Array Sequence Analysis Humans Artificial Intelligence Algorithms
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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...
Humans Gene Expression Regulation, Neoplastic Gene Expression Profiling Neoplasm Recurrence, Local Precision Medicine Databases, Genetic Reproducibility of Results Cohort Studies Algorithms Neoplasm Invasiveness Oligonucleotide Array Sequence Analysis Fuzzy Logic Computational Biology Sensitivity and Specificity Prognosis Breast Neoplasms Decision Making Female
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Biomedical question answering using semantic relations.

BMC bioinformatics Jan 16, 2015
BACKGROUND: The proliferation of the scientific literature in the field of biomedicine makes it difficult to keep abreast of current knowledge, even for domain experts. While general Web search engines and specialized information retrieval (IR) syste...
Oligonucleotide Array Sequence Analysis Information Storage and Retrieval Semantics Abstracting and Indexing Databases, Factual Pharmacogenetics Natural Language Processing Humans Software Algorithms
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