Search alternatives:
common optimization » codon optimization (Expand Search), carbon optimization (Expand Search), cosmic optimization (Expand Search)
dose optimization » based optimization (Expand Search), model optimization (Expand Search), wolf optimization (Expand Search)
binary b » binary _ (Expand Search)
b common » _ common (Expand Search), a common (Expand Search), _ commons (Expand Search)
binary a » binary _ (Expand Search), hilary a (Expand Search)
a dose » _ dose (Expand Search)
common optimization » codon optimization (Expand Search), carbon optimization (Expand Search), cosmic optimization (Expand Search)
dose optimization » based optimization (Expand Search), model optimization (Expand Search), wolf optimization (Expand Search)
binary b » binary _ (Expand Search)
b common » _ common (Expand Search), a common (Expand Search), _ commons (Expand Search)
binary a » binary _ (Expand Search), hilary a (Expand Search)
a dose » _ dose (Expand Search)
-
1
Supplementary Material 8
Published 2025“…</li><li><b>XGboost: </b>An optimized gradient boosting algorithm that efficiently handles large genomic datasets, commonly used for high-accuracy predictions in <i>E. coli</i> classification.…”
-
2
PathOlOgics_RBCs Python Scripts.zip
Published 2023“…</p><p><br></p><p dir="ltr">The fourth measurement involved a <b>modified</b> <b>eccentricity</b> assessment to discern the pear/teardrop shape of RBCs by examining their extents across four rotated image quadrants, in contrast to the commonly employed eccentricity of considering only two facing halves. …”
-
3
Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles
Published 2025“…</p><p dir="ltr">IC50 (µg/mL): The concentration at which 50% of cells are inhibited, used as a toxicity threshold.</p><p dir="ltr">These biological metrics were used to define a binary toxicity label: entries were classified as toxic (1) or non-toxic (0) based on thresholds from standardized guidelines (e.g., ISO 10993-5:2009) and literature consensus. …”