Pipeline of the interactor algorithm. حسب Jose Cleydson F. Silva (8685594)

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer حسب Morgan Najera (21540776)

"…</li></ul><p dir="ltr">The scripts rely on the following Python packages. Where available, repository links are provided:</p><ol><li><b>NumPy</b>, version 1.22.1</li><li><b>SciPy</b>, version 1.7.3</li><li><b>PyGAD</b>, version 3.0.1 — https://pygad.readthedocs.io/en/latest/#</li><li><b>bees-algorithm</b>, version 1.0.2 — https://pypi.org/project/bees-algorithm</li><li><b>KrakenOS</b>, version 1.0.0.19 — https://github.com/Garchupiter/Kraken-Optical-Simulator</li><li><b>matplotlib</b>, version 3.5.2</li></ol><p dir="ltr">All scripts are modular and organized to reflect the design stages described in the manuscript.…"

<b>Algorithm Pseudocode</b> حسب Yibin Zhao (22425801)

(a-b) The LASSO algorithm was used for hyperparameter tuning and identification of the important predictive features. حسب Devi Soorya Narayana Sasikumar (22331743)

الموضوعات:

Immune infiltration analysis by ssGSEA algorithm. حسب Yubin Xue (1537042)

The results of LASSO regression algorithm. حسب Xue Fu (549661)

FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz حسب Faizan Ali (21689861)

الموضوعات:

Immune infiltration analysis by CIBERSORT algorithm. حسب Lanying Shen (22755930)

The GOR4 and SOPMA algorithm findings. حسب Ahmad Abdullah Mahdeen (19704401)

Immune infiltration analysis by CIBERSORT algorithm. حسب Lanying Shen (22755930)

A) Ranking of models trained on different feature sets across all tested algorithms, sorted by their F1-score. حسب Jose Cleydson F. Silva (8685594)

A framework for improving localisation prediction algorithms. حسب Sven B. Gould (12237287)

"…Classifiers on which the algorithms are trained could include parameters such as the evolutionary distance of a species, non-coding regions, or a protein’s abundance as a currently neglected factor. …"

PATH has state-of-the-art performance versus previous binding affinity prediction algorithms. حسب Yuxi Long (11024307)

الموضوعات:

Two protein-ligand complexes shown with their persistence fingerprint. حسب Yuxi Long (11024307)

الموضوعات:

Protein-Protein Interaction (PPI) and ceRNA Regulatory Network Analysis. حسب Jie Chu (293795)

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results حسب Se-Hee Jo (20554623)

"…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …"

Core genes were selected through PPI analysis based on three algorithms. حسب Dong-Hee Han (140305)

"…<b>(B)</b> The priority of the top 10 genes was evaluated through MNC, which identifies clusters of protein nodes that are more functionally connected to each other and selects the central proteins within the cluster. …"

A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density. حسب Hassan Mehboob (8960273)

"…<p>A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density.…"

Functional enrichment analyses of Co-genes. حسب Qingcong Zheng (11169094)

Strong negative correlation between the precision of algorithms and the evolutionary distance from the training data. حسب Sven B. Gould (12237287)