RESCRIPt: Reproducible sequence taxonomy reference database management
Nucleotide sequence and taxonomy reference databases are critical resources for
widespread applications including marker-gene and metagenome sequencing for …
widespread applications including marker-gene and metagenome sequencing for …
The role of machine learning in perovskite solar cell research
Over the last few years there has been an increasing number of papers using machine
learning (ML) as a tool to aid research directed towards perovskite solar cells. This review …
learning (ML) as a tool to aid research directed towards perovskite solar cells. This review …
A novel link prediction algorithm for protein-protein interaction networks by attributed graph embedding
The prediction of interactions in protein networks is very critical in various biological
processes. In recent years, scientists have focused on computational approaches to predict …
processes. In recent years, scientists have focused on computational approaches to predict …
Altered microRNA expression in COVID-19 patients enables identification of SARS-CoV-2 infection
The host response to SARS-CoV-2 infection provide insights into both viral pathogenesis
and patient management. The host-encoded microRNA (miRNA) response to SARS-CoV-2 …
and patient management. The host-encoded microRNA (miRNA) response to SARS-CoV-2 …
TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets
Abstract COVID-19, caused by SARS-CoV2 infection, varies greatly in its severity but
presents with serious respiratory symptoms with vascular and other complications …
presents with serious respiratory symptoms with vascular and other complications …
[HTML][HTML] Bovine blastocyst-like structures derived from stem cell cultures
Understanding the mechanisms of blastocyst formation and implantation is critical for
improving farm animal reproduction but is hampered by a limited supply of embryos. Here …
improving farm animal reproduction but is hampered by a limited supply of embryos. Here …
Predicting microstructure-dependent mechanical properties in additively manufactured metals with machine-and deep-learning methods
C Herriott, AD Spear - Computational Materials Science, 2020 - Elsevier
In this work, we investigate the performance of data-driven modeling for mechanical property
prediction of a simulated microstructural dataset. The dataset comprises realistic …
prediction of a simulated microstructural dataset. The dataset comprises realistic …
Ensemble of surrogates combining Kriging and Artificial Neural Networks for reliability analysis with local goodness measurement
C Ren, Y Aoues, D Lemosse, ES De Cursi - Structural Safety, 2022 - Elsevier
In engineering problems, reliability assessment is often computationally expensive.
Surrogate models with active learning approaches are commonly used to solve this …
Surrogate models with active learning approaches are commonly used to solve this …
[HTML][HTML] q2-sample-classifier: machine-learning tools for microbiome classification and regression
q2-sample-classifier: machine-learning tools for microbiome classification and regression - PMC
Back to Top Skip to main content NIH NLM Logo Access keys NCBI Homepage MyNCBI …
Back to Top Skip to main content NIH NLM Logo Access keys NCBI Homepage MyNCBI …
Potential of machine learning for prediction of traffic related air pollution
Land use regression (LUR) has been extensively used to capture the spatial distribution of
air pollution. However, regional background and non-linear relationships can be …
air pollution. However, regional background and non-linear relationships can be …