بدائل البحث:
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm both » algorithm blood (توسيع البحث), algorithm etc (توسيع البحث), algorithm co (توسيع البحث)
algorithm b » algorithm _ (توسيع البحث), algorithms _ (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm both » algorithm blood (توسيع البحث), algorithm etc (توسيع البحث), algorithm co (توسيع البحث)
algorithm b » algorithm _ (توسيع البحث), algorithms _ (توسيع البحث)
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Results of the application of different clustering algorithms to average functional connectivity from healthy subjects.
منشور في 2023"…Inertia was calculated using the scikit learn module in Python. B) Resulting cluster distance from hierarchical clustering to averaged functional connectivity from healthy subjects, with different numbers of clusters. …"
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Comparison of scores obtained by our interpenetration and scoring algorithm (ISA) and ROSETTA for a subset of structures.
منشور في 2023"…However, our algorithm was 1000 times faster than pyROSETTA (both algorithms have been parallelized on a per-structure basis using the Python package joblib [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010531#pcbi.1010531.ref069" target="_blank">69</a>]).…"
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Mechanomics Code - JVT
منشور في 2025"…The functions were tested respectively in: MATLAB 2018a or youger, Python 3.9.4, R 4.0.3.…"
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Spatiotemporal Soil Erosion Dataset for the Yarlung Tsangpo River Basin (1990–2100)
منشور في 2025"…Additionally, a Genetic Algorithm (GA) was applied in each iteration to optimize the hyperparameters of the XGBoost model, which is crucial for enhancing both the efficiency and robustness of the model (Zhong and Liu, 2024; Zou et al., 2024). …"
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Landscape17
منشور في 2025"…In particular, the explicit inclusion of transition states, which are more difficult to characterise using standard molecular dynamics, allows for assessment of global kinetics and comparison of MLIP landscapes with the DFT reference.</p><h3>Density functional theory calculations</h3><p dir="ltr">The reference potential energy landscapes were computed using density functional theory with the ωB97x hybrid-energy exchange correlation functional and a 6-31G(d) basis set within Psi4. …"
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Decoding fairness motivations - repository
منشور في 2020"…All analysis were conducted in Python 2.7.</div><div><br></div><div><b>Behavioral Data:</b><br></div><div><br></div><div><u>Files:</u> </div><div><br></div><div><i>DifffereceOffers.csv </i>- Offers made by participants in Study 1</div><div><i>Diffs_W.csv</i> - Offers made by participants in Study 2</div><div><br></div><div><i>Individual-differences-in-offers2.png</i> - Plot of individual differences as illustrated in the paper</div><div><i>Individual-differences-MeanOffers.png </i>- Individual differences in mean offers in both games as illustrated in the Appendix</div><div><i>SocialvsNonSocial2.png </i>- Difference in Offers between Selfish and strategic players when playing against humans and computers</div><div><br></div><div>Behavioral Data, specfically Ultimatum Game and Dictator Game Offers and Plots resulting from behavioral analysis reported in the following paper:</div><div><br></div><div>S.P.H. …"
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Code
منشور في 2025"…</p><p><br></p><p dir="ltr"><b>RNA functional analysis</b></p><p dir="ltr">Gene Ontology (GO) analysis was performed using the Metascape website, and gene set enrichment analysis (GSEA) was conducted using the GSEABase and enrichplot packages in R. …"
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Core data
منشور في 2025"…</p><p><br></p><p dir="ltr"><b>RNA functional analysis</b></p><p dir="ltr">Gene Ontology (GO) analysis was performed using the Metascape website, and gene set enrichment analysis (GSEA) was conducted using the GSEABase and enrichplot packages in R. …"
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Skeletal_ Muscle_MRI_Registration
منشور في 2020"…<p><b>MSKregPy</b> is a collection of algorithms and GUI for muscolo-skeletal image processing and registration.…"
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A paired dataset of multi-modal MRI at 3 Tesla and 7 Tesla with manual hippocampal subfield segmentations on 7T T2-weighted images
منشور في 2024"…This dataset is designed to support the development and evaluation of both 3T-to-7T MR image synthesis models and automated hippocampal segmentation algorithms on 3T images. …"