AIMC Topic: Algorithms

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Mining Gene Regulatory Networks by Neural Modeling of Expression Time-Series.

IEEE/ACM transactions on computational biology and bioinformatics Jan 1, 2015
Discovering gene regulatory networks from data is one of the most studied topics in recent years. Neural networks can be successfully used to infer an underlying gene network by modeling expression profiles as times series. This work proposes a novel...
Neural Networks, Computer Algorithms Animals Gene Expression Profiling Humans Pattern Recognition, Automated Gene Expression Regulation Proteome Signal Transduction Data Mining
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BMExpert: Mining MEDLINE for Finding Experts in Biomedical Domains Based on Language Model.

IEEE/ACM transactions on computational biology and bioinformatics Jan 1, 2015
With the rapid development of biomedical sciences, a great number of documents have been published to report new scientific findings and advance the process of knowledge discovery. By the end of 2013, the largest biomedical literature database, MEDLI...
Pattern Recognition, Automated Algorithms Expert Testimony Computer Simulation Manuscripts as Topic Machine Learning Data Mining Language MEDLINE Models, Theoretical Natural Language Processing
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A Machine Learning Based Approach to de novo Sequencing of Glycans from Tandem Mass Spectrometry Spectrum.

IEEE/ACM transactions on computational biology and bioinformatics Jan 1, 2015
Recently, glycomics has been actively studied and various technologies for glycomics have been rapidly developed. Currently, tandem mass spectrometry (MS/MS) is one of the key experimental tools for identification of structures of oligosaccharides. M...
Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity Carbohydrate Sequence Sequence Analysis Polysaccharides Molecular Sequence Data Glycomics Tandem Mass Spectrometry Pattern Recognition, Automated
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Application of Counter-propagation Artificial Neural Networks in Prediction of Topiramate Concentration in Patients with Epilepsy.

Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques Jan 1, 2015
PURPOSE: The application of artificial neural networks in the pharmaceutical sciences is broad, ranging from drug discovery to clinical pharmacy. In this study, we explored the applicability of counter-propagation artificial neural networks (CPANNs),...
Fructose Carbamazepine Male Topiramate Middle Aged Algorithms Drug Interactions Glomerular Filtration Rate Female Chromatography, High Pressure Liquid Adult Humans Epilepsy Anticonvulsants Neural Networks, Computer Machine Learning
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Fool-proofing design and crisis management for customized intelligent physical fitness and healthcare system.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2015
In recent years, it is quite important to develop a customized system which can enhance physical fitness and health for people. And the system reliability is more important. In the paper, a fool-proofing design and crisis management for customized ph...
Humans Machine Learning Algorithms Reproducibility of Results Cloud Computing Remote Sensing Technology Exercise Therapy Physical Fitness
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[Intelligent distributed system of population cancer screening].

Voprosy onkologii Jan 1, 2015
This review summarizes data dedicated to improving the efficiency of screening of malignant tumors through the use of modern information and telecommunication technologies. It is showed that currently available software solutions in the field of medi...
Diagnostic Imaging Computer Communication Networks Algorithms Mass Screening Early Detection of Cancer Humans Artificial Intelligence Software
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Genome-wide discovery of miRNAs using ensembles of machine learning algorithms and logistic regression.

International journal of data mining and bioinformatics Jan 1, 2015
In silico prediction of novel miRNAs from genomic sequences remains a challenging problem. This study presents a genome-wide miRNA discovery software package called GenoScan and evaluates two hairpin classification methods. These methods, one ensembl...
Machine Learning Algorithms Molecular Sequence Data Logistic Models Humans Regression Analysis Chromosome Mapping Base Sequence Sequence Analysis, RNA Pattern Recognition, Automated Genome, Human MicroRNAs Inverted Repeat Sequences
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Sequence based human leukocyte antigen gene prediction using informative physicochemical properties.

International journal of data mining and bioinformatics Jan 1, 2015
Prediction of different classes within the human leukocyte antigen (HLA) gene family can provide insight into the human immune system and its response to viral pathogens. Therefore, it is desirable to develop an efficient and easily interpretable met...
Molecular Sequence Data Sequence Analysis, Protein HLA-A Antigens Support Vector Machine Leukocytes Databases, Protein Humans Data Mining Amino Acid Sequence Pattern Recognition, Automated Algorithms Structure-Activity Relationship
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Exploiting multi-layered vector spaces for signal peptide detection.

International journal of data mining and bioinformatics Jan 1, 2015
Analysing and classifying sequences based on similarities and differences is a mathematical problem of escalating relevance and importance in many scientific disciplines. One of the primary challenges in applying machine learning algorithms to sequen...
Protein Sorting Signals Databases, Protein Amino Acid Sequence Data Mining Sequence Alignment Sequence Analysis, Protein Pattern Recognition, Automated Molecular Sequence Data Algorithms Peptides Support Vector Machine
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Ensemble of sparse classifiers for high-dimensional biological data.

International journal of data mining and bioinformatics Jan 1, 2015
Biological data are often high in dimension while the number of samples is small. In such cases, the performance of classification can be improved by reducing the dimension of data, which is referred to as feature selection. Recently, a novel feature...
Algorithms Animals Neoplasms Support Vector Machine Humans Artificial Intelligence Databases, Genetic Data Mining
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