AIMC Topic: Machine Learning

Clear Filters Showing 26571 to 26580 of 34417 articles

Introducing a Stable Bootstrap Validation Framework for Reliable Genomic Signature Extraction.

IEEE/ACM transactions on computational biology and bioinformatics Nov 29, 2016
The application of machine learning methods for the identification of candidate genes responsible for phenotypes of interest, such as cancer, is a major challenge in the field of bioinformatics. These lists of genes are often called genomic signature...
Cluster Analysis Oligonucleotide Array Sequence Analysis Genome Genomics Support Vector Machine Databases, Genetic Humans Machine Learning Reproducibility of Results Gene Expression Profiling
View on PubMed DOI

A methodology for automated CPA extraction using liver biopsy image analysis and machine learning techniques.

Computer methods and programs in biomedicine Nov 29, 2016
BACKGROUND AND OBJECTIVE: Collagen proportional area (CPA) extraction in liver biopsy images provides the degree of fibrosis expansion in liver tissue, which is the most characteristic histological alteration in hepatitis C virus (HCV). Assessment of...
Automation Humans Machine Learning Liver Biopsy Hepatitis C, Chronic Collagen
View on PubMed DOI

The method for breast cancer grade prediction and pathway analysis based on improved multiple kernel learning.

Journal of bioinformatics and computational biology Nov 29, 2016
Breast cancer histologic grade represents the morphological assessment of the tumor's malignancy and aggressiveness, which is vital in clinically planning treatment and estimating prognosis for patients. Therefore, the prediction of breast cancer gra...
Algorithms Databases, Factual Female Humans Machine Learning Breast Neoplasms Genomics DNA Methylation Gene Expression Regulation, Neoplastic Signal Transduction Neoplasm Grading Support Vector Machine
View on PubMed DOI

Combining transcription factor binding affinities with open-chromatin data for accurate gene expression prediction.

Nucleic acids research Nov 29, 2016
The binding and contribution of transcription factors (TF) to cell specific gene expression is often deduced from open-chromatin measurements to avoid costly TF ChIP-seq assays. Thus, it is important to develop computational methods for accurate TF b...
Cell Line, Tumor Protein Binding Transcription Factors Hep G2 Cells Humans Machine Learning Algorithms Human Embryonic Stem Cells Organ Specificity Cell Line CD4-Positive T-Lymphocytes K562 Cells Chromatin Hepatocytes Binding Sites Histones Principal Component Analysis Gene Expression Regulation Primary Cell Culture Chromatin Assembly and Disassembly DNA
View on PubMed DOI

Multiview Convolutional Neural Networks for Multidocument Extractive Summarization.

IEEE transactions on cybernetics Nov 28, 2016
Multidocument summarization has gained popularity in many real world applications because vital information can be extracted within a short time. Extractive summarization aims to generate a summary of a document or a set of documents by ranking sente...
Natural Language Processing Data Mining Neural Networks, Computer Machine Learning Algorithms
View on PubMed DOI

Evaluation of a Machine-Learning Algorithm for Treatment Planning in Prostate Low-Dose-Rate Brachytherapy.

International journal of radiation oncology, biology, physics Nov 27, 2016
PURPOSE: This work presents the application of a machine learning (ML) algorithm to automatically generate high-quality, prostate low-dose-rate (LDR) brachytherapy treatment plans. The ML algorithm can mimic characteristics of preoperative treatment ...
Humans Radiotherapy Planning, Computer-Assisted Male Dose-Response Relationship, Radiation Algorithms Brachytherapy Treatment Outcome Machine Learning Reproducibility of Results Radiometry Radiotherapy Dosage Prostatic Neoplasms Sensitivity and Specificity Radiotherapy, Image-Guided
View on PubMed DOI

Artificial Neural Networks as a powerful numerical tool to classify specific features of a tooth based on 3D scan data.

Computers in biology and medicine Nov 27, 2016
Chairside manufacturing based on digital image acquisition is gainingincreasing importance in dentistry. For the standardized application of these methods, it is paramount to have highly automated digital workflows that can process acquired 3D image ...
Humans Imaging, Three-Dimensional Tooth Models, Dental Neural Networks, Computer Machine Learning Algorithms
View on PubMed DOI

Automated quantification of three-dimensional organization of fiber-like structures in biological tissues.

Biomaterials Nov 25, 2016
Fiber-like structures are prevalent in biological tissues, yet quantitative approaches to assess their three-dimensional (3D) organization are lacking. We develop 3D directional variance, as a quantitative biomarker of truly 3D fibrillar organization...
Image Interpretation, Computer-Assisted Elastic Tissue Fibrillar Collagens Humans Machine Learning Algorithms Imaging, Three-Dimensional Axons Reproducibility of Results Sensitivity and Specificity
View on PubMed DOI

Analysis of correlation between pediatric asthma exacerbation and exposure to pollutant mixtures with association rule mining.

Artificial intelligence in medicine Nov 25, 2016
OBJECTIVES: Traditional studies on effects of outdoor pollution on asthma have been criticized for questionable statistical validity and inefficacy in exploring the effects of multiple air pollutants, alone and in combination. Association rule mining...
Child Environmental Monitoring Air Pollution Data Mining Cross-Over Studies Humans Machine Learning Asthma
View on PubMed DOI

PACE: Probabilistic Assessment for Contributor Estimation- A machine learning-based assessment of the number of contributors in DNA mixtures.

Forensic science international. Genetics Nov 24, 2016
The deconvolution of DNA mixtures remains one of the most critical challenges in the field of forensic DNA analysis. In addition, of all the data features required to perform such deconvolution, the number of contributors in the sample is widely cons...
DNA Probability DNA Fingerprinting Humans Machine Learning Algorithms Models, Statistical
View on PubMed DOI
Popular Topics
Recent Journals