Explained variance ration of the PCA algorithm. حسب Abeer Aljohani (18497914)

"…<div><p>Chest X-ray image classification plays an important role in medical diagnostics. Machine learning algorithms enhanced the performance of these classification algorithms by introducing advance techniques. …"

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

الموضوعات:

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... حسب Giacomo Janson (8138517)

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

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

Adaptive H-REMD simulation algorithm. حسب Danial Pourjafar-Dehkordi (7165523)

Principal Component Analysis (PCA) of the independent dataset from the HPC cohort. حسب Erica A. K. DePasquale (11851483)

الموضوعات:

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

Loss functions between PCA-DNN model and PCA-LSTM model. حسب Cihun-Siyong Alex Gong (11874066)

Network propagation improves the correlation between mRNA and protein levels of ageing tissues (brain and liver) and PCa samples. حسب Konstantina Charmpi (9901053)

الموضوعات:

Performance of PCA and Joint Autoencoder (JAE) denoising algorithms. حسب Ege Altan (11768156)

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

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). …"

Testing function diagram of QIMPN-PCA-DC. حسب Jun Zhao (59250)

<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.…"

Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics حسب Paolo Cifani (1575613)

"…Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. …"

Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics حسب Paolo Cifani (1575613)

"…Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. …"

The loss function of network structures, LPC-DNN, LPC-PCA-DNN, LPC-LSTM, LPC-PCA-LSTM, MFCC-DNN, MFCC-PCA-DNN, MFCC-LSTM and MFCC-PCA-LSTM, as the epoch increases. حسب Cihun-Siyong Alex Gong (11874066)

Revisiting the “satisfaction of spatial restraints” approach of MODELLER for protein homology modeling حسب Giacomo Janson (8138517)

"…<div><p>The most frequently used approach for protein structure prediction is currently homology modeling. …"

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

الموضوعات: "…evolutionary genetic algorithm…"