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Control of Gene Regulatory Networks Using Bayesian Inverse Reinforcement Learning.
IEEE/ACM transactions on computational biology and bioinformatics
Apr 26, 2018
Control of gene regulatory networks (GRNs) to shift gene expression from undesirable states to desirable ones has received much attention in recent years. Most of the existing methods assume that the cost of intervention at each state and time point,...
Gene Expression Regulation, Neoplastic
Humans
Models, Genetic
Machine Learning
Bayes Theorem
Software
Models, Biological
Algorithms
Melanoma
Skin Neoplasms
Gene Expression Profiling
Tumor Suppressor Protein p53
Gene Regulatory Networks
Computational Biology
Proto-Oncogene Proteins c-mdm2
Wnt-5a Protein
Drug Repositioning by Integrating Known Disease-Gene and Drug-Target Associations in a Semi-supervised Learning Model.
Acta biotheoretica
Apr 26, 2018
Computational drug repositioning has been proven as a promising and efficient strategy for discovering new uses from existing drugs. To achieve this goal, a number of computational methods have been proposed, which are based on different data sources...
An improved deep learning approach for detection of thyroid papillary cancer in ultrasound images.
Scientific reports
Apr 26, 2018
Unlike daily routine images, ultrasound images are usually monochrome and low-resolution. In ultrasound images, the cancer regions are usually blurred, vague margin and irregular in shape. Moreover, the features of cancer region are very similar to n...
Integrative analysis and machine learning on cancer genomics data using the Cancer Systems Biology Database (CancerSysDB).
BMC bioinformatics
Apr 24, 2018
BACKGROUND: Recent cancer genome studies on many human cancer types have relied on multiple molecular high-throughput technologies. Given the vast amount of data that has been generated, there are surprisingly few databases which facilitate access to...
Supervised machine learning reveals introgressed loci in the genomes of Drosophila simulans and D. sechellia.
PLoS genetics
Apr 23, 2018
Hybridization and gene flow between species appears to be common. Even though it is clear that hybridization is widespread across all surveyed taxonomic groups, the magnitude and consequences of introgression are still largely unknown. Thus it is cru...
A machine learning based framework to identify and classify long terminal repeat retrotransposons.
PLoS computational biology
Apr 23, 2018
Transposable elements (TEs) are repetitive nucleotide sequences that make up a large portion of eukaryotic genomes. They can move and duplicate within a genome, increasing genome size and contributing to genetic diversity within and across species. A...
Human Splice-Site Prediction with Deep Neural Networks.
Journal of computational biology : a journal of computational molecular cell biology
Apr 18, 2018
Accurate splice-site prediction is essential to delineate gene structures from sequence data. Several computational techniques have been applied to create a system to predict canonical splice sites. For classification tasks, deep neural networks (DNN...
Diseases diagnosis using fuzzy logic methods: A systematic and meta-analysis review.
Computer methods and programs in biomedicine
Apr 18, 2018
BACKGROUND AND OBJECTIVE: Diagnosis as the initial step of medical practice, is one of the most important parts of complicated clinical decision making which is usually accompanied with the degree of ambiguity and uncertainty. Since uncertainty is th...
Computer-aided diagnosis of prostate cancer using a deep convolutional neural network from multiparametric MRI.
Journal of magnetic resonance imaging : JMRI
Apr 16, 2018
BACKGROUND: Deep learning is the most promising methodology for automatic computer-aided diagnosis of prostate cancer (PCa) with multiparametric MRI (mp-MRI).
Databases, Factual
Retrospective Studies
Reproducibility of Results
Sensitivity and Specificity
Predictive Value of Tests
Humans
Area Under Curve
Neural Networks, Computer
Software
Prostatic Neoplasms
Pattern Recognition, Automated
Diffusion Magnetic Resonance Imaging
Male
Diagnosis, Computer-Assisted
Deep Learning
ROC Curve
Extracting Healthcare Quality Information from Unstructured Data.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
Healthcare quality research is a fundamental task that involves assessing treatment patterns and measuring the associated patient outcomes to identify potential areas for improving healthcare. While both qualitative and quantitative approaches are us...
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