AIMC Topic:
Supervised Machine Learning

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GOexpress: an R/Bioconductor package for the identification and visualisation of robust gene ontology signatures through supervised learning of gene expression data.

BMC bioinformatics Mar 11, 2016
BACKGROUND: Identification of gene expression profiles that differentiate experimental groups is critical for discovery and analysis of key molecular pathways and also for selection of robust diagnostic or prognostic biomarkers. While integration of ...
RNA, Messenger Supervised Machine Learning Gene Ontology Software Transcriptome Computational Biology
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Voxel-Based Diagnosis of Alzheimer's Disease Using Classifier Ensembles.

IEEE journal of biomedical and health informatics Mar 4, 2016
Functional magnetic resonance imaging (fMRI) is one of the most promising noninvasive techniques for early Alzheimer's disease (AD) diagnosis. In this paper, we explore the application of different machine learning techniques to the classification of...
Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Neuroimaging Aged, 80 and over Supervised Machine Learning Alzheimer Disease Male Humans Middle Aged Algorithms Brain Female Aged
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MetaKTSP: a meta-analytic top scoring pair method for robust cross-study validation of omics prediction analysis.

Bioinformatics (Oxford, England) Mar 2, 2016
MOTIVATION: Supervised machine learning is widely applied to transcriptomic data to predict disease diagnosis, prognosis or survival. Robust and interpretable classifiers with high accuracy are usually favored for their clinical and translational pot...
Idiopathic Pulmonary Fibrosis Meta-Analysis as Topic Supervised Machine Learning Gene Expression Profiling Genomics Humans DNA Methylation Algorithms Research Design Prognosis Breast Neoplasms
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Canonical variate regression.

Biostatistics (Oxford, England) Feb 9, 2016
In many fields, multi-view datasets, measuring multiple distinct but interrelated sets of characteristics on the same set of subjects, together with data on certain outcomes or phenotypes, are routinely collected. The objective in such a problem is o...
Data Interpretation, Statistical Body Weight Supervised Machine Learning Alcoholism Humans Mice Algorithms Models, Statistical Animals Regression Analysis
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Unbiased estimation of biomarker panel performance when combining training and testing data in a group sequential design.

Biometrics Feb 4, 2016
Motivated by an ongoing study to develop a screening test able to identify patients with undiagnosed Sjögren's Syndrome in a symptomatic population, we propose methodology to combine multiple biomarkers and evaluate their performance in a two-stage g...
Antigens, Neoplasm Models, Statistical Prostatic Neoplasms Biomarkers Computer Simulation Male Supervised Machine Learning Early Diagnosis Statistics, Nonparametric Humans Algorithms
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A Comparative Analysis Between k-Mers and Community Detection-Based Features for the Task of Protein Classification.

IEEE transactions on nanobioscience Feb 3, 2016
Machine learning algorithms are widely used to annotate biological sequences. Low-dimensional informative feature vectors can be crucial for the performance of the algorithms. In prior work, we have proposed the use of a community detection approach ...
Algorithms Computational Biology Proteins Supervised Machine Learning
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Active machine learning-driven experimentation to determine compound effects on protein patterns.

eLife Feb 3, 2016
High throughput screening determines the effects of many conditions on a given biological target. Currently, to estimate the effects of those conditions on other targets requires either strong modeling assumptions (e.g. similarities among targets) or...
Automation, Laboratory Proteins Drug Evaluation, Preclinical Cytosol High-Throughput Screening Assays Supervised Machine Learning Optical Imaging Microscopy Cell Physiological Phenomena
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ZeitZeiger: supervised learning for high-dimensional data from an oscillatory system.

Nucleic acids research Jan 26, 2016
Numerous biological systems oscillate over time or space. Despite these oscillators' importance, data from an oscillatory system is problematic for existing methods of regularized supervised learning. We present ZeitZeiger, a method to predict a peri...
Periodicity Supervised Machine Learning Circadian Clocks Time Animals Mice Gene Expression Profiling Computational Biology Algorithms Gene Regulatory Networks
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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...
Humans Brain Image Processing, Computer-Assisted Supervised Machine Learning Visible Human Projects
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Classification of clinically useful sentences in clinical evidence resources.

Journal of biomedical informatics Jan 13, 2016
UNLABELLED: Most patient care questions raised by clinicians can be answered by online clinical knowledge resources. However, important barriers still challenge the use of these resources at the point of care.
Humans Algorithms Language Decision Support Systems, Clinical Natural Language Processing Unified Medical Language System Bayes Theorem Supervised Machine Learning Information Storage and Retrieval Semantics MEDLINE Terminology as Topic
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