BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data by Jean-Christophe Lachance (6619307)

“…Despite its importance, no standardized computational platform is currently available to generate species-specific biomass objective functions in a data-driven, unbiased fashion. To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …”

Matlab code of a function used in S2 File. by Hiroko Kato Solvang (5718250)

Distribution of DLCO in pulmonary function tests with discrepant interpretations between the algorithm and the clinicians. by Yuh-Chin T. Huang (17867207)

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Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>14−<i>f</i>23. by Ying Li (38224)

Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>8−<i>f</i>13. by Ying Li (38224)

Functional analysis of the oral dysbiosis dataset using molecular function GO terms. by Ray Sajulga (5721518)

Algorithm flow of the CNN + LSTM model. by Zhongzhong Guo (12133402)

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Algorithm used in the model to automatically estimate the parameters of LD pharmacodynamics, via minimization of a cost function. by Mauro Ursino (144905)

Boxplot analysis for ITAE objective function using en-CSA, CSA, RUN, PDO and RIME algorithms. by Sarah A. Alzakari (19704611)

“…<p>Boxplot analysis for ITAE objective function using en-CSA, CSA, RUN, PDO and RIME algorithms.…”

Results on solving TSS using different evolutionary and greedy algorithms. by Alexander Andreev (16822333)

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Image_1_Identification of energy metabolism-related biomarkers for risk prediction of heart failure patients using random forest algorithm.TIFF by Hao Chen (5190)

“…</p>Conclusion<p>This study identified ten energy metabolism-related diagnostic markers using random forest algorithm, which may help optimize risk stratification and clinical treatment in HF patients.…”

Table_1_Identification of energy metabolism-related biomarkers for risk prediction of heart failure patients using random forest algorithm.XLSX by Hao Chen (5190)

“…</p>Conclusion<p>This study identified ten energy metabolism-related diagnostic markers using random forest algorithm, which may help optimize risk stratification and clinical treatment in HF patients.…”

Critical values of membership functions learned from the study cohort by the algorithm. by Yufeng Zhang (195768)

Predictions from a Universal Value Function Approximator (UVFA) algorithm. by Sam Hall-McMaster (10343795)

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Autofocus search algorithm optimization experiment results. by Chao Ma (207385)

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Optimization algorithm combined with the Pearson correlation coefficient. by Chao Ma (207385)

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Multi-directional image sharpness evaluation algorithm. by Chao Ma (207385)

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Comparison of PSOLFWM with other meta-heuristic algorithms using t-Test. by Yong Gao (29929)

Convergence results of different dimensional functions under different algorithms. by Guilian Feng (18530806)

GO analysis results of DEGs among PD ferroptosis subtypes. by Lixia Chen (614030)

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