Comparing machine learning and PLSDA algorithms for durian pulp classification using inline NIR spectra
The aim of this study was to evaluate and compare the performance of multivariate
classification algorithms, specifically Partial Least Squares Discriminant Analysis (PLS-DA) …
classification algorithms, specifically Partial Least Squares Discriminant Analysis (PLS-DA) …
[HTML][HTML] Opportunities offered by latent-based multiblock strategies to integrate biomarkers of chemical exposure and biomarkers of effect in environmental health …
É Babin, E Vigneau, JP Antignac, B Le Bizec… - Chemosphere, 2024 - Elsevier
Modern environmental epidemiology benefits from a new generation of technologies that
enable comprehensive profiling of biomarkers, including environmental chemical exposure …
enable comprehensive profiling of biomarkers, including environmental chemical exposure …
singIST: an integrative method for comparative single-cell transcriptomics between disease models and humans
A Moruno-Cuenca, S Picart-Armada, A Perera-Lluna… - bioRxiv, 2024 - biorxiv.org
Motivation Disease models are a fundamental tool to drug discovery and early drug
development. However, these models are not a perfect reflection of human disease, and …
development. However, these models are not a perfect reflection of human disease, and …
Omics data classification using constitutive artificial neural network optimized with single candidate optimizer
S Madhan, A Kalaiselvan - Network: Computation in Neural …, 2024 - Taylor & Francis
Recent technical advancements enable omics-based biological study of molecules with very
high throughput and low cost, such as genomic, proteomic, and microbionics'. To overcome …
high throughput and low cost, such as genomic, proteomic, and microbionics'. To overcome …