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Keras R-CNN: library for cell detection in biological images using deep neural networks.

BMC bioinformatics Jul 11, 2020
BACKGROUND: A common yet still manual task in basic biology research, high-throughput drug screening and digital pathology is identifying the number, location, and type of individual cells in images. Object detection methods can be useful for identif...
Cell Nucleus Humans Plasmodium vivax Software Deep Learning Image Processing, Computer-Assisted
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MonkeyKing: Adaptive Parameter Tuning on Big Data Platforms with Deep Reinforcement Learning.

Big data Jul 10, 2020
Choosing the right parameter configurations for recurring jobs running on big data analytics platforms is difficult because there can be hundreds of possible parameter configurations to pick from. Even the selection of parameter configurations is bas...
Data Collection Deep Learning Software Big Data Neural Networks, Computer Algorithms
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DISC: a highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning.

Genome biology Jul 10, 2020
Dropouts distort gene expression and misclassify cell types in single-cell transcriptome. Although imputation may improve gene expression and downstream analysis to some degree, it also inevitably introduces false signals. We develop DISC, a novel de...
Single-Cell Analysis Sequence Analysis, RNA Transcriptome Deep Learning Software
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Interactive machine learning for soybean seed and seedling quality classification.

Scientific reports Jul 9, 2020
New computer vision solutions combined with artificial intelligence algorithms can help recognize patterns in biological images, reducing subjectivity and optimizing the analysis process. The aim of this study was to propose an approach based on inte...
Machine Learning Software Glycine max Reproducibility of Results Artificial Intelligence Algorithms Image Processing, Computer-Assisted Germination Seeds Seedlings Principal Component Analysis False Positive Reactions
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UFO: A tool for unifying biomedical ontology-based semantic similarity calculation, enrichment analysis and visualization.

PloS one Jul 9, 2020
BACKGROUND: Biomedical ontologies have been growing quickly and proven to be useful in many biomedical applications. Important applications of those data include estimating the functional similarity between ontology terms and between annotated biomed...
Biological Ontologies Biomarkers Vocabulary, Controlled Diagnostic Tests, Routine Humans Semantics Software
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Deep learning based detection of intracranial aneurysms on digital subtraction angiography: A feasibility study.

The neuroradiology journal Jul 7, 2020
BACKGROUND: Digital subtraction angiography is the gold standard for detecting and characterising aneurysms. Here, we assess the feasibility of commercial-grade deep learning software for the detection of intracranial aneurysms on whole-brain anterop...
Humans Software Aged, 80 and over Adult Male Female Aged Intracranial Aneurysm Feasibility Studies Angiography, Digital Subtraction Middle Aged Cerebral Angiography Deep Learning
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Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition.

Methods (San Diego, Calif.) Jul 6, 2020
In the last decade, machine learning and artificial intelligence applications have received a significant boost in performance and attention in both academic research and industry. The success behind most of the recent state-of-the-art methods can be...
Receptors, G-Protein-Coupled Supervised Machine Learning Drug Discovery Ligands Neural Networks, Computer Deep Learning Machine Learning Software Artificial Intelligence
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Data Augmentation and Pretraining for Template-Based Retrosynthetic Prediction in Computer-Aided Synthesis Planning.

Journal of chemical information and modeling Jul 5, 2020
This work presents efforts to augment the performance of data-driven machine learning algorithms for reaction template recommendation used in computer-aided synthesis planning software. Often, machine learning models designed to perform the task of p...
Software Algorithms Computers Neural Networks, Computer Machine Learning
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SUSSOL-Using Artificial Intelligence for Greener Solvent Selection and Substitution.

Molecules (Basel, Switzerland) Jul 3, 2020
Solvents come in many shapes and types. Looking for solvents for a specific application can be hard, and looking for green alternatives for currently used nonbenign solvents can be even harder. We describe a new methodology for solvent selection and ...
Green Chemistry Technology Databases, Factual Solvents Humans Neural Networks, Computer Software Algorithms Artificial Intelligence
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HAPPENN is a novel tool for hemolytic activity prediction for therapeutic peptides which employs neural networks.

Scientific reports Jul 2, 2020
The growing prevalence of resistance to antibiotics motivates the search for new antibacterial agents. Antimicrobial peptides are a diverse class of well-studied membrane-active peptides which function as part of the innate host defence system, and f...
Hemolysis Sequence Analysis, Protein Hemolytic Agents Computer Simulation Antimicrobial Cationic Peptides Humans Machine Learning Software Neural Networks, Computer
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