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Using automated computer vision and machine learning to code facial expressions of affect and arousal: Implications for emotion dysregulation research.

Development and psychopathology Mar 28, 2019
As early as infancy, caregivers' facial expressions shape children's behaviors, help them regulate their emotions, and encourage or dissuade their interpersonal agency. In childhood and adolescence, proficiencies in producing and decoding facial expr...
Child Emotions Affect Facial Expression Female Male Adolescent Arousal Mother-Child Relations Machine Learning Software Humans
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Selene: a PyTorch-based deep learning library for sequence data.

Nature methods Mar 28, 2019
To enable the application of deep learning in biology, we present Selene (https://selene.flatironinstitute.org/), a PyTorch-based deep learning library for fast and easy development, training, and application of deep learning model architectures for ...
Normal Distribution Gene Library Sequence Analysis, DNA Models, Statistical Area Under Curve Algorithms Programming Languages Deep Learning Mutation Humans Mutagenesis Genomics Alzheimer Disease Neural Networks, Computer Computational Biology Software
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Comparison between two programs for image analysis, machine learning and subsequent classification.

Tissue & cell Mar 27, 2019
In the early 1950s, flow cytometry was developed as the first method for automated quantitative cellular analysis. In the early 1990s, the first equipment for image cytometry (laser scanning cytometry, LSC) became commercially available. As flow cyto...
Rats, Wistar Rats Retina Male Image Processing, Computer-Assisted Kidney Machine Learning Software Animals
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Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype.

IEEE transactions on biomedical circuits and systems Mar 27, 2019
Advances in neuroscience uncover the mechanisms employed by the brain to efficiently solve complex learning tasks with very limited resources. However, the efficiency is often lost when one tries to port these findings to a silicon substrate, since b...
Humans Neural Networks, Computer Machine Learning Models, Neurological Software Synapses Brain
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Evaluating reproducibility of AI algorithms in digital pathology with DAPPER.

PLoS computational biology Mar 27, 2019
Artificial Intelligence is exponentially increasing its impact on healthcare. As deep learning is mastering computer vision tasks, its application to digital pathology is natural, with the promise of aiding in routine reporting and standardizing resu...
Artificial Intelligence Software Algorithms Reproducibility of Results Humans Image Interpretation, Computer-Assisted Histological Techniques
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FactorNet: A deep learning framework for predicting cell type specific transcription factor binding from nucleotide-resolution sequential data.

Methods (San Diego, Calif.) Mar 26, 2019
Due to the large numbers of transcription factors (TFs) and cell types, querying binding profiles of all valid TF/cell type pairs is not experimentally feasible. To address this issue, we developed a convolutional-recurrent neural network model, call...
Transcription Factors Nucleotides Binding Sites Chromatin Software Deep Learning Protein Binding Neural Networks, Computer
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NeuroPIpred: a tool to predict, design and scan insect neuropeptides.

Scientific reports Mar 26, 2019
Insect neuropeptides and their associated receptors have been one of the potential targets for the pest control. The present study describes in silico models developed using natural and modified insect neuropeptides for predicting and designing new n...
Databases, Protein Software Amino Acid Sequence Humans Animals Sequence Analysis, Protein Neuropeptides Support Vector Machine
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Early experience with Watson for oncology in Korean patients with colorectal cancer.

PloS one Mar 25, 2019
BACKGROUND: Watson for oncology (WFO) is a cognitive computing system providing decision support. We evaluated the concordance rates between the treatment options determined by WFO and those determined by a multidisciplinary team (MDT).
Treatment Outcome Female Neoplasm Staging Reproducibility of Results Interdisciplinary Communication Aged Expert Systems Colorectal Neoplasms Medical Oncology Middle Aged Male Practice Guidelines as Topic Humans Computers User-Computer Interface Aged, 80 and over Patient Care Team Software Decision Support Systems, Clinical Adult Algorithms Retrospective Studies Republic of Korea
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IVS2vec: A tool of Inverse Virtual Screening based on word2vec and deep learning techniques.

Methods (San Diego, Calif.) Mar 22, 2019
Inverse Virtual Screening is a powerful technique in the early stage of drug discovery process. This technique can provide important clues for biologically active molecules, which is useful in the following researches of durg discovery. In this work,...
Proteins Protein Conformation Software Molecular Docking Simulation Deep Learning User-Computer Interface Algorithms Databases, Factual
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CiRCus: A Framework to Enable Classification of Complex High-Throughput Experiments.

Journal of proteome research Mar 22, 2019
Despite the increasing use of high-throughput experiments in molecular biology, methods for evaluating and classifying the acquired results have not kept pace, requiring significant manual efforts to do so. Here, we present CiRCus, a framework to gen...
Machine Learning Software Proteins Databases, Protein High-Throughput Screening Assays Algorithms Binding, Competitive Protein Binding Proteomics
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