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Data · dataset · 2023

Data and code for "Machine learning modelling in predicting and optimizing PLGA nanoparticle encapsulation efficiency and therapeutic efficacy"

Listed in Borealis

The dataset includes wet-lab data and code for the thesis "Machine learning modelling in predicting and optimizing PLGA nanoparticle encapsulation efficiency and therapeutic efficacy".

Description

Machine learning models include Gaussian Processes and Bayesian Optimization.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Machine learning 74%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Borealisdoi:10.5683/SP3/NVKVWE12 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4611enrichment · borealisdata cataxonomy-embedding@1.1.0title+keywords+description (74%)
concepts[field].dataverse_subject:computer-and-information-sciencesource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].dataverse_subject:medicine-health-and-life-sciencessource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:life-sciencesmapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:medicine-healthmapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
created_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
descriptionsource · borealisdata caconnector:borealisdata_ca@1.0.0/description
publication_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
titlesource · borealisdata caconnector:borealisdata_ca@1.0.0/name
updated_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
version_labelsource · borealisdata caconnector:borealisdata_ca@1.0.0