بدائل البحث:
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm a » algorithm _ (توسيع البحث), algorithm b (توسيع البحث), algorithms _ (توسيع البحث)
a function » _ function (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm a » algorithm _ (توسيع البحث), algorithm b (توسيع البحث), algorithms _ (توسيع البحث)
a function » _ function (توسيع البحث)
-
61
Mechanomics Code - JVT
منشور في 2025"…At the beginning of the code, there is a help section that explains how to use it.<br></li><li>Python (written by Syed Shafat Ali and tested by Yan Ge): analogous functions of the MATLAB folder. …"
-
62
Known compounds and new lessons: structural and electronic basis of flavonoid-based bioactivities
منشور في 2019"…We also attempt to provide a structure–activity relation model for COX by inhibition of these 16 flavonoids using molecular docking. …"
-
63
Code and data for evaluating oil spill amount from text-form incident information
منشور في 2025"…The code is written in Python and operated using Jupyter Lab and Anaconda. …"
-
64
Code
منشور في 2025"…We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …"
-
65
Core data
منشور في 2025"…We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …"
-
66
Decoding fairness motivations - repository
منشور في 2020"…</div><div>To obtain neural activation patterns for multivariate analysis individual time series were modeled using a double γ hemodynamic response function in a single trial GLM design using FSL’s FEAT. …"
-
67
BrainPepPass: all scripts
منشور في 2023"…The best BrainPepPass models also are saved. </p> <p><br></p> <p>Obs: ETL.ipynb utilizes LogD descriptor dataset calculated using the software Instant JChem available for download at <a href="https://docs.chemaxon.com/display/docs/instant-jchem-installation-and-upgrade.md" target="_blank">https://docs.chemaxon.com/display/docs/instant-jchem-installation-and-upgrade.md</a>. …"
-
68
Data_Sheet_1_MCIC: Automated Identification of Cellulases From Metagenomic Data and Characterization Based on Temperature and pH Dependence.docx
منشور في 2020"…MCIC is freely available as a python package and standalone toolkit for Windows and Linux-based operating systems with several functions to facilitate the screening and thermal and pH dependence prediction of cellulases.…"
-
69
Expression vs genomics for predicting dependencies
منشور في 2024"…</p><p dir="ltr"><br></p><p dir="ltr">FeatureDropScore.csv: Perturbations and predictive performance for a model using all single gene expression features EXCEPT those that had greater than 0.1 feature importance in a model trained with all single gene expression features. …"