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

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Performance of the greedy approximation algorithm. by Virgile Andreani (17087764)

Subjects: “…unlike approximation algorithms…”

The “Bubblepole” (BUPO) Method for Linear-Scaling Coulomb Matrix Construction with or without Density Fitting by Frank Neese (736441)

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Flowchart of proposed fitness function algorithm. by Ferhat Yuna (21519851)

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Complementary cumulative distribution functions of in degree distribution and fitted power law, lognormal and truncated power law distributions. by Olga Valba (10531121)

Average quality scores of the models of the analysis set as a function of the <i>w</i>_<i>SP</i> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)

Listed python codes of our algorithm with explanations (Python 3.9 recommended). by Takayuki Niizato (162226)

Graph of convergence of PSO algorithm fitness function. by Mohammed F. Elnaggar (18297954)

“…<p>Graph of convergence of PSO algorithm fitness function.</p>…”

Functional fitness test results of different algorithms. by Ling Zhao (111365)

“…<p>Functional fitness test results of different algorithms.…”

3D modeling qualities of the AS single-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

Boxplot of fitness in various algorithms. by Wei Liu (20030)

3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

Fitting results of each function. by Hui Huang (4122)

Convergence curves of various algorithms under test functions. by Jiayuan Wang (3765376)

Convergence curves of various algorithms under test functions. by Jiayuan Wang (3765376)

Fitness curves of the 6 test functions. by Peiwen Zhang (1863202)

Genetic Algorithm for Automated Parameterization of Network Hamiltonian Models of Amyloid Fibril Formation by Gianmarc Grazioli (6752297)

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Python-based Monte Carlo Simulation Tool by Yangfan Jiang (9372782)

Fitness function parameters. by Ankita Sharma (3183054)

Values of the fitness function for different algorithms run on various companies’ datasets. by Bitanu Chatterjee (15295261)

“…<p>Values of the fitness function for different algorithms run on various companies’ datasets.…”