AIMC Topic:
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CirGO: an alternative circular way of visualising gene ontology terms.

BMC bioinformatics Feb 18, 2019
BACKGROUND: Prioritisation of gene ontology terms from differential gene expression analyses in a two-dimensional format remains a challenge with exponentially growing data volumes. Typically, gene ontology terms are represented as tree-maps that enc...
Computer Graphics Gene Expression Gene Ontology Humans Algorithms Cluster Analysis Software
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MoDeSuS: A Machine Learning Tool for Selection of Molecular Descriptors in QSAR Studies Applied to Molecular Informatics.

BioMed research international Feb 17, 2019
The selection of the most relevant molecular descriptors to describe a target variable in the context of QSAR (Quantitative Structure-Activity Relationship) modelling is a challenging combinatorial optimization problem. In this paper, a novel softwar...
Models, Molecular Machine Learning Quantitative Structure-Activity Relationship Software
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FunMappOne: a tool to hierarchically organize and visually navigate functional gene annotations in multiple experiments.

BMC bioinformatics Feb 15, 2019
BACKGROUND: Functional annotation of genes is an essential step in omics data analysis. Multiple databases and methods are currently available to summarize the functions of sets of genes into higher level representations, such as ontologies and molec...
Genes Gene Ontology Computer Graphics Databases, Factual Animals Computational Biology Molecular Sequence Annotation Mice Humans Software
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Machine Learning Consensus To Predict the Binding to the Androgen Receptor within the CoMPARA Project.

Journal of chemical information and modeling Feb 11, 2019
The nuclear androgen receptor (AR) is one of the most relevant biological targets of Endocrine Disrupting Chemicals (EDCs), which produce adverse effects by interfering with hormonal regulation and endocrine system functioning. This paper describes n...
Machine Learning Software Molecular Docking Simulation Humans Endocrine Disruptors Androgens Androgen Receptor Antagonists Protein Binding Receptors, Androgen Drug Discovery
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Vision-aided brain-machine interface training system for robotic arm control and clinical application on two patients with cervical spinal cord injury.

Biomedical engineering online Feb 11, 2019
BACKGROUND: While spontaneous robotic arm control using motor imagery has been reported, most previous successful cases have used invasive approaches with advantages in spatial resolution. However, still many researchers continue to investigate metho...
Humans Software Cervical Vertebrae Arm Brain-Computer Interfaces Magnetic Resonance Imaging Robotics Spinal Cord Injuries Visual Perception
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DeepPVP: phenotype-based prioritization of causative variants using deep learning.

BMC bioinformatics Feb 6, 2019
BACKGROUND: Prioritization of variants in personal genomic data is a major challenge. Recently, computational methods that rely on comparing phenotype similarity have shown to be useful to identify causative variants. In these methods, pathogenicity ...
Exome Phenotype Humans Deep Learning Neural Networks, Computer Gene Frequency Software Exome Sequencing Genetic Variation
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Effort-aware and just-in-time defect prediction with neural network.

PloS one Feb 1, 2019
Effort-aware just-in-time (JIT) defect prediction is to rank source code changes based on the likelihood of detects as well as the effort to inspect such changes. Accurate defect prediction algorithms help to find more defects with limited effort. To...
Neural Networks, Computer Software Deep Learning
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SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 31, 2019
Automatic sleep staging has been often treated as a simple classification problem that aims at determining the label of individual target polysomnography epochs one at a time. In this paper, we tackle the task as a sequence-to-sequence classification...
Reproducibility of Results Neural Networks, Computer Electrooculography Electroencephalography Attention Electromyography Machine Learning Humans Sleep Stages Algorithms Polysomnography Software Databases, Factual
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Building Moral Robots: Ethical Pitfalls and Challenges.

Science and engineering ethics Jan 30, 2019
This paper examines the ethical pitfalls and challenges that non-ethicists, such as researchers and programmers in the fields of computer science, artificial intelligence and robotics, face when building moral machines. Whether ethics is "computable"...
Morals Dissent and Disputes Ethicists Ethical Theory Decision Making Robotics Research Personnel Artificial Intelligence Software
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Deep learning for molecular generation.

Future medicinal chemistry Jan 30, 2019
De novo drug design aims to generate novel chemical compounds with desirable chemical and pharmacological properties from scratch using computer-based methods. Recently, deep generative neural networks have become a very active research frontier in d...
Humans Deep Learning Animals Drug Design Neural Networks, Computer Drug Discovery Software
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