Type II error rate from estimation of simulated outcomes using the EE algorithm. حسب Alex Stivala (8356257)

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Comparison of MPNet and ALAAMEE software for ALAAM estimation. حسب Alex Stivala (8356257)

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Configurations used in ALAAMs for directed networks. حسب Alex Stivala (8356257)

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Type I error rate from estimation of simulated outcomes using the EE algorithm. حسب Alex Stivala (8356257)

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Example ALAAMEE output. حسب Alex Stivala (8356257)

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Type II error rate as the number of runs used for each sample is varied. حسب Alex Stivala (8356257)

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Parameter estimates and estimated standard errors from the EE algorithm. حسب Alex Stivala (8356257)

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Network descriptive statistics for the Deezer networks. حسب Alex Stivala (8356257)

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Example ALAAMEE goodness-of-fit output. حسب Alex Stivala (8356257)

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ZILLNB_Model حسب Qinhuan Luo (21288548)

"…<p dir="ltr">Acquire latent variables using deep-learning based model implemented in python</p>…"

PythonForRoyalSociety.py from The formation energy of triple lines حسب Paul Twine (22587761)

Bursty model and Refractory model simulation results. (A) Bursty model simulation results ( samples). The production of nascent mRNA occurs in bursts and degrade after delay time <... حسب Ziyan Jin (21021976)

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Flowchart representation of lion optimization algorithm for hyperparameter tuning in the HCAP model. حسب Mohanad Faeq Ali (21354273)

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DeepB3Pred - code حسب Saleh Musleh (22263718)

Steering system model. حسب Honglei Pang (22693724)

"…<div><p>Vehicle lateral stability control under hazardous operating conditions represents a pivotal challenge in intelligent driving active safety. …"

Braking system model. حسب Honglei Pang (22693724)

"…<div><p>Vehicle lateral stability control under hazardous operating conditions represents a pivotal challenge in intelligent driving active safety. …"

Code حسب Baoqiang Chen (21099509)

"…We divided the dataset into training and test sets, using 70% of the genes for training and 30% for testing. 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). …"

RNA Velocity model simulation results. (A) Simulation results for RNA Velocity model without delay ( samples). The simulation is composed of an up-regulation phase (both production... حسب Ziyan Jin (21021976)

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DeepB3Pred_source_code حسب Muhammad Arif (17012472)

Advancing Solar Magnetic Field Modeling حسب Carlos António (21257432)

"…<br><br>We developed a significantly faster Python code built upon a functional optimization framework previously proposed and implemented by our team. …"