AIMC Journal:
BioMed research international

Showing 271 to 280 of 314 articles

In Silico Prediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT Approaches.

BioMed research international Aug 8, 2016
Gamma-aminobutyric acid type-A receptors (GABAARs) belong to multisubunit membrane spanning ligand-gated ion channels (LGICs) which act as the principal mediators of rapid inhibitory synaptic transmission in the human brain. Therefore, the category p...
Amino Acid Motifs Reproducibility of Results Receptors, GABA-A Computational Biology Support Vector Machine Algorithms Brain Computer Simulation Databases, Protein Amino Acids Decision Making Ligands Models, Statistical Decision Trees Humans Machine Learning
View on PubMed DOI

Positive-Unlabeled Learning for Pupylation Sites Prediction.

BioMed research international Aug 7, 2016
Pupylation plays a key role in regulating various protein functions as a crucial posttranslational modification of prokaryotes. In order to understand the molecular mechanism of pupylation, it is important to identify pupylation substrates and sites ...
Databases, Protein Lysine Binding Sites Ubiquitination Support Vector Machine Machine Learning Protein Processing, Post-Translational Proteins Algorithms
View on PubMed DOI

Fuzzy Clustering Applied to ROI Detection in Helical Thoracic CT Scans with a New Proposal and Variants.

BioMed research international Jul 18, 2016
The detection of pulmonary nodules is one of the most studied problems in the field of medical image analysis due to the great difficulty in the early detection of such nodules and their social impact. The traditional approach involves the developmen...
Sensitivity and Specificity Lung Neoplasms Fuzzy Logic Solitary Pulmonary Nodule Pattern Recognition, Automated Radiography, Thoracic Humans Algorithms Tomography, Spiral Computed Reproducibility of Results
View on PubMed DOI

Gene-Disease Interaction Retrieval from Multiple Sources: A Network Based Method.

BioMed research international Jul 13, 2016
The number of gene-related databases has been growing largely along with the research on genes of bioinformatics. Those databases are filled with various gene functions, pathways, interactions, and so forth, while much biomedical knowledge about huma...
Gene Ontology Epistasis, Genetic Gene Regulatory Networks Databases, Genetic Data Mining Humans Algorithms
View on PubMed DOI

Computer-Aided Diagnosis of Micro-Malignant Melanoma Lesions Applying Support Vector Machines.

BioMed research international Jun 13, 2016
Background. One of the fatal disorders causing death is malignant melanoma, the deadliest form of skin cancer. The aim of the modern dermatology is the early detection of skin cancer, which usually results in reducing the mortality rate and less exte...
Early Diagnosis Image Enhancement Software Design Nevus Sensitivity and Specificity Diagnosis, Computer-Assisted Support Vector Machine Dermoscopy Reproducibility of Results Humans Algorithms Melanoma Skin Neoplasms
View on PubMed DOI

Using the Relevance Vector Machine Model Combined with Local Phase Quantization to Predict Protein-Protein Interactions from Protein Sequences.

BioMed research international May 23, 2016
We propose a novel computational method known as RVM-LPQ that combines the Relevance Vector Machine (RVM) model and Local Phase Quantization (LPQ) to predict PPIs from protein sequences. The main improvements are the results of representing protein s...
Saccharomyces cerevisiae Proteins Sequence Analysis, Protein Databases, Protein Predictive Value of Tests Saccharomyces cerevisiae Humans Support Vector Machine
View on PubMed DOI

tDCS and Robotics on Upper Limb Stroke Rehabilitation: Effect Modification by Stroke Duration and Type of Stroke.

BioMed research international Mar 31, 2016
Objective. The aim of this exploratory pilot study is to test the effects of bilateral tDCS combined with upper extremity robot-assisted therapy (RAT) on stroke survivors. Methods. We enrolled 23 subjects who were allocated to 2 groups: RAT + real tD...
Humans Surveys and Questionnaires Time Factors Robotics Female Male Middle Aged Transcranial Direct Current Stimulation Arm Demography Stroke Rehabilitation
View on PubMed DOI

A Prediction Model for Membrane Proteins Using Moments Based Features.

BioMed research international Feb 15, 2016
The most expedient unit of the human body is its cell. Encapsulated within the cell are many infinitesimal entities and molecules which are protected by a cell membrane. The proteins that are associated with this lipid based bilayer cell membrane are...
Lipid Bilayers Models, Theoretical Amino Acids Cell Membrane Humans Neural Networks, Computer Membrane Proteins
View on PubMed DOI

ChemTok: A New Rule Based Tokenizer for Chemical Named Entity Recognition.

BioMed research international Jan 28, 2016
Named Entity Recognition (NER) from text constitutes the first step in many text mining applications. The most important preliminary step for NER systems using machine learning approaches is tokenization where raw text is segmented into tokens. This ...
Machine Learning Software Data Mining Chemical Phenomena Terminology as Topic Algorithms Support Vector Machine Natural Language Processing
View on PubMed DOI

Segmenting Brain Tissues from Chinese Visible Human Dataset by Deep-Learned Features with Stacked Autoencoder.

BioMed research international Jan 26, 2016
Cryosection brain images in Chinese Visible Human (CVH) dataset contain rich anatomical structure information of tissues because of its high resolution (e.g., 0.167 mm per pixel). Fast and accurate segmentation of these images into white matter, gray...
Image Processing, Computer-Assisted Supervised Machine Learning Visible Human Projects Humans Brain
View on PubMed DOI
Popular Topics
Popular Journals