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The heat-induced browning of seed coats trait was mapped in the IT84S-2246 (Hbs) x TVu14676 (hbs) population using two phenotypic datasets, wherein one major and one minor QTL were identified.
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QTL analysis of the two phenotypic datasets identified one major QTL with a large effect for leaf shape morphology.
QTL analysis of two phenotypic datasets for the IT93K-503-1 (Hbs) x CB46 (hbs) population identified two loci for the heat-induced browning phenotype.
Experiments were performed using two datasets (Li's dataset and the Wallflower's dataset).
This is demonstrated using two different datasets.
We test the proposed method using two real datasets and one simulated dataset.
We assessed richness patterns using two datasets.
Prediction accuracy was evaluated using two real-world datasets.
The proposed method is evaluated by using four commonly-used datasets including two remote sensing images datasets, an indoor and outdoor scenes dataset, and a sports action dataset.
Various experiments were performed by using four real datasets and two groups of synthetic datasets.
They then calculated drug-drug pair similarities using four features: phenotypic similarity, therapeutic similarity, chemical structure similarity, and genomic similarity.
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