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Automated and accurate segmentation of leaf venation networks via deep learning.

The New phytologist Oct 10, 2020
Leaf vein network geometry can predict levels of resource transport, defence and mechanical support that operate at different spatial scales. However, it is challenging to quantify network architecture across scales due to the difficulties both in se...
Neural Networks, Computer Software Algorithms Deep Learning Image Processing, Computer-Assisted Plant Leaves
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CUP-AI-Dx: A tool for inferring cancer tissue of origin and molecular subtype using RNA gene-expression data and artificial intelligence.

EBioMedicine Oct 9, 2020
BACKGROUND: Cancer of unknown primary (CUP), representing approximately 3-5% of all malignancies, is defined as metastatic cancer where a primary site of origin cannot be found despite a standard diagnostic workup. Because knowledge of a patient's pr...
Workflow RNA Neoplasm Metastasis Neoplasms, Unknown Primary Neural Networks, Computer Genomics Algorithms Artificial Intelligence Computational Biology Reproducibility of Results Machine Learning Databases, Genetic Biomarkers, Tumor Software Humans
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Advancements in sex estimation using the diaphyseal cross-sectional geometric properties of the lower and upper limbs.

International journal of legal medicine Oct 8, 2020
This paper introduces an automated method for estimating sex from the lower and upper limbs based on diaphyseal CSG properties. The proposed method was developed and evaluated using 389 femurs, 412 tibias, and 404 humeri of adult individuals from a m...
Femur Humerus Diaphyses Tibia Greece Sex Determination by Skeleton Discriminant Analysis Sex Characteristics Humans Imaging, Three-Dimensional Software Support Vector Machine Algorithms Female Male
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Use of artificial intelligence for tailored routine urine analyses.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases Oct 7, 2020
OBJECTIVES: Urine is the most common material tested in clinical microbiology laboratories. Automated analysis is already performed, permitting quicker results and decreasing the laboratory technologist's (LT) workload. These automatic systems have i...
Artificial Intelligence Software Humans Urinalysis Algorithms Reproducibility of Results Urine
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Graph-based exploitation of gene ontology using GOxploreR for scrutinizing biological significance.

Scientific reports Oct 7, 2020
Gene ontology (GO) is an eminent knowledge base frequently used for providing biological interpretations for the analysis of genes or gene sets from biological, medical and clinical problems. Unfortunately, the interpretation of such results is chall...
Humans Software Databases, Genetic Gene Ontology
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DDxNet: a deep learning model for automatic interpretation of electronic health records, electrocardiograms and electroencephalograms.

Scientific reports Oct 2, 2020
Effective patient care mandates rapid, yet accurate, diagnosis. With the abundance of non-invasive diagnostic measurements and electronic health records (EHR), manual interpretation for differential diagnosis has become time-consuming and challenging...
Electronic Health Records Deep Learning Models, Theoretical Machine Learning Patient Care Humans Electrocardiography Software Electroencephalography Algorithms
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LncLocation: Efficient Subcellular Location Prediction of Long Non-Coding RNA-Based Multi-Source Heterogeneous Feature Fusion.

International journal of molecular sciences Oct 1, 2020
Recent studies uncover that subcellular location of long non-coding RNAs (lncRNAs) can provide significant information on its function. Due to the lack of experimental data, the number of lncRNAs is very limited, experimentally verified subcellular l...
RNA, Long Noncoding Benchmarking Exosomes Computational Biology Support Vector Machine Databases, Genetic Base Sequence Genome, Human Terminology as Topic Cytoplasm Datasets as Topic Cell Nucleus Gene Expression Regulation Software Animals Humans Ribosomes Eukaryotic Cells
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Metabolic pathway inference using multi-label classification with rich pathway features.

PLoS computational biology Oct 1, 2020
Metabolic inference from genomic sequence information is a necessary step in determining the capacity of cells to make a living in the world at different levels of biological organization. A common method for determining the metabolic potential encod...
Logistic Models Databases, Genetic Metabolic Networks and Pathways Software Machine Learning Algorithms Genomics Proteobacteria
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Mustache: multi-scale detection of chromatin loops from Hi-C and Micro-C maps using scale-space representation.

Genome biology Sep 30, 2020
We present MUSTACHE, a new method for multi-scale detection of chromatin loops from Hi-C and Micro-C contact maps. MUSTACHE employs scale-space theory, a technical advance in computer vision, to detect blob-shaped objects in contact maps. MUSTACHE is...
Artificial Intelligence Software Genomics Nucleic Acid Conformation Chromatin
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Analysis of COVID-19 clinical trials: A data-driven, ontology-based, and natural language processing approach.

PloS one Sep 30, 2020
With the novel COVID-19 pandemic disrupting and threatening the lives of millions, researchers and clinicians have been recently conducting clinical trials at an unprecedented rate to learn more about the virus and potential drugs/treatments/vaccines...
Computational Biology COVID-19 Clinical Trials as Topic Natural Language Processing Humans Phenotype Betacoronavirus Internet Software Coronavirus Infections SARS-CoV-2 Pneumonia, Viral Pandemics Biological Ontologies Medical Subject Headings
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