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Beyond Tripeptides Two-Step Active Machine Learning for Very Large Data sets.
Journal of chemical theory and computation
Apr 27, 2021
Self-assembling peptide nanostructures have been shown to be of great importance in nature and have presented many promising applications, for example, in medicine as drug-delivery vehicles, biosensors, and antivirals. Being very promising candidates...
Universal probabilistic programming offers a powerful approach to statistical phylogenetics.
Communications biology
Feb 24, 2021
Statistical phylogenetic analysis currently relies on complex, dedicated software packages, making it difficult for evolutionary biologists to explore new models and inference strategies. Recent years have seen more generic solutions based on probabi...
Rapid 3D phenotypic analysis of neurons and organoids using data-driven cell segmentation-free machine learning.
PLoS computational biology
Feb 22, 2021
Phenotypic profiling of large three-dimensional microscopy data sets has not been widely adopted due to the challenges posed by cell segmentation and feature selection. The computational demands of automated processing further limit analysis of hard-...
Neural Network-Based Study about Correlation Model between TCM Constitution and Physical Examination Indexes Based on 950 Physical Examinees.
Journal of healthcare engineering
Sep 1, 2020
PURPOSE: To establish the correlation model between Traditional Chinese Medicine (TCM) constitution and physical examination indexes by backpropagation neural network (BPNN) technology. A new method for the identification of TCM constitution in clini...
Urinalysis
Physical Examination
Artificial Intelligence
Pattern Recognition, Automated
Software
Lipids
Blood Chemical Analysis
Algorithms
Programming Languages
Liver Function Tests
Medicine, Chinese Traditional
Data Collection
Reproducibility of Results
Humans
Models, Statistical
Neural Networks, Computer
Computer Systems
PyDSLRep: A domain-specific language for robotic simulation in V-Rep.
PloS one
Jul 1, 2020
Calculating forward and inverse kinematics for robotic agents is one of the most time-intensive tasks when controlling the robot movement in any environment. This calculation is then encoded to control the motors and validated in a simulator. The fee...
Artificial plant optimization algorithm to detect heart rate & presence of heart disease using machine learning.
Artificial intelligence in medicine
Nov 8, 2019
In today's world, cardiovascular diseases are prevalent becoming the leading cause of death; more than half of the cardiovascular diseases are due to Coronary Heart Disease (CHD) which generates the demand of predicting them timely so that people can...
Jointly Integrating VCF-Based Variants and OWL-Based Biomedical Ontologies in MongoDB.
IEEE/ACM transactions on computational biology and bioinformatics
Nov 4, 2019
The development of the next-generation sequencing (NGS) technologies has led to massive amounts of VCF (Variant Call Format) files, which have been the standard formats developed with 1000 Genomes Project. At the same time, with the widespread use of...
Building more accurate decision trees with the additive tree.
Proceedings of the National Academy of Sciences of the United States of America
Sep 16, 2019
The expansion of machine learning to high-stakes application domains such as medicine, finance, and criminal justice, where making informed decisions requires clear understanding of the model, has increased the interest in interpretable machine learn...
ROBOT: A Tool for Automating Ontology Workflows.
BMC bioinformatics
Jul 29, 2019
BACKGROUND: Ontologies are invaluable in the life sciences, but building and maintaining ontologies often requires a challenging number of distinct tasks such as running automated reasoners and quality control checks, extracting dependencies and appl...
MLSeq: Machine learning interface for RNA-sequencing data.
Computer methods and programs in biomedicine
Apr 29, 2019
BACKGROUND AND OBJECTIVE: In the last decade, RNA-sequencing technology has become method-of-choice and prefered to microarray technology for gene expression based classification and differential expression analysis since it produces less noisy data....
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