Differences between average F1 obtained for PFP-WGAN and DeepGO-Seq for the GO terms in each height ( and ). حسب Seyyede Fatemeh Seyyedsalehi (10196767)

الموضوعات:

F1 obtained for PFP-WGAN and DeepGO-Seq for GO terms as a function of number of available positive training samples. حسب Seyyede Fatemeh Seyyedsalehi (10196767)

الموضوعات:

Comparison of BLAST, FFPRED, CSSAG, STDNN, MTDNN and PFP-WGAN on dataset 2. حسب Seyyede Fatemeh Seyyedsalehi (10196767)

الموضوعات:

Comparison of BLAST, DeepGO-Seq and PFP-WGAN on dataset 1. حسب Seyyede Fatemeh Seyyedsalehi (10196767)

الموضوعات:

Sensitivity of the PFP-WGAN on parameter λ₁. حسب Seyyede Fatemeh Seyyedsalehi (10196767)

الموضوعات:

Three term-centric measures suitable for unbalanced data. حسب Seyyede Fatemeh Seyyedsalehi (10196767)

الموضوعات:

Optimization Performance Comparison of Metaheuristic Algorithms. حسب Xie Qiu (13243770)

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

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

"…<p>Among 46 DEGs whose expression significantly changed in A549 and BEAS-2B cell lines, the core genes were selected using three algorithms: MCC, MNC, and DEGREE. …"

Sub-model-specific gene sets with functional annotations and weights. حسب Josh L. Espinoza (10492448)

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

الموضوعات:

Comparison between the best and the average set of parameters for 70 proteins. حسب Greta Grassmann (12418506)

الموضوعات:

Top 15 hub genes in five algorithms. حسب Tianqi Liu (1625776)

Code snippets to add user-specific custom functionality in PyNoetic. حسب Gursimran Singh (575288)

الموضوعات:

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). …"

Bridge: A Graph-Based Algorithm to Analyze Dynamic H‑Bond Networks in Membrane Proteins حسب Malte Siemers (5127779)

"…This long distance communication enables transporters to move protons or other ions and small molecules across the bilayer and receptors to transmit an external signal to the cell. Hydrogen bonds, hydrogen-bond networks, and lipid–protein interactions are essential for the motions and functioning of the membrane protein and, consequently, of outmost interest to structural biology and numerical simulations. …"

<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.…"

Subnetwork clusters of identified targets for TFDM against CIRI obtained using MCODE algorithm. حسب Xu Hu (23350)

Unsupervised Machine Learning Organization of the Functional Dark Proteome of Gram-Negative “Superbugs”: Six Protein Clusters Amenable for Distinct Scientific Applications حسب Carlos Sicilia (14228509)

الموضوعات:

Modular architecture design of PyNoetic showing all its constituent functions. حسب Gursimran Singh (575288)

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