Sums of squares of absolute and relative errors for Patient’s 1 data under a constant variance assumption. حسب Patricio Cumsille (6755882)

الموضوعات:

Sums of squares of relative and absolute errors for Patient’s 1 data under a non-constant variance assumption. حسب Patricio Cumsille (6755882)

الموضوعات:

Showing the Quantum Mechanics-based Density Functional Theory optimisation of 3-1-BCMIYPPA where different energy levels are shown in different colours. حسب Mohammed Ali Alshehri (11707406)

Comparison of algorithms in two cases. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

Flow of the NSGA-II algorithm. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

Boxplots of relative differences between predicted and simulated values of parameters A (left column) and x (right column) of the logistic growth curve under prediction scenarios c... حسب Maud Delattre (19106551)

الموضوعات:

A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data حسب Anthony S. Barente (14035175)

الموضوعات:

Validation of IDRAS on a model of bacterial growth and division. حسب Ron Teichner (21492434)

Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements حسب Pascal Wang (10130612)

"…<div>This directory contains Python 3 scripts implementing the Trajectory Adaptive Multilevel Sampling algorithm (TAMS), a variant of Adaptive Multilevel Splitting (AMS), for the study of rare events. …"

Comparison of the performance of the emulators as a function of the size of the training set (resolution) for the agent-based cellular automata (CA) model of brain tumours. حسب Andreas Christ Sølvsten Jørgensen (13911723)

Comparison of the performance of the emulators as a function of the size of the training set (resolution) for the agent-based cellular automata (CA) model of brain tumours. حسب Andreas Christ Sølvsten Jørgensen (13911723)

Flowchart of whale flock optimization algorithm. حسب Rongxin Gong (18864603)

"…<i>camphora</i> growth was established using the multiple linear regression (MLR), partial least squares (PLS), support vector regression (SVR), random forest (RF), radial basis function neural network (RBFNN), back propagation neural network (BPNN), and whale optimization algorithm (WOA)-optimized BPNN models. …"

Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... حسب Ziyan Jin (21021976)

The workflow used to analyze imbalanced and balanced sequences. حسب Solomon Shiferaw Beyene (9143178)

Performances of Naïve Bayes (NB), Multilayer Perceptron (MLP), Random Forest (RF), Gradient Boosting (GB), Support Vector Machine (SVM) and K- Nearest Neighbors (KNN). حسب Solomon Shiferaw Beyene (9143178)

Accuracy, sensitivity, specificity and F-score. حسب Solomon Shiferaw Beyene (9143178)

The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers. حسب Solomon Shiferaw Beyene (9143178)

Performance of the Algorithm 1. حسب Bogumił Kamiński (7827794)

Rare variants in <i>SMYD1</i> and <i>BMP10</i> identified in family 346 are functionally damaging. حسب David M. Gordon (3259002)

الموضوعات:

Gene content overlap in <i>RNF43 G659fs</i> mutation-specific pathways. حسب Alexis M. Thornton (11068403)