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

The algorithm underlying neoVM. by Tanmoy Sarkar (627505)

Characterization of cell distribution in mouse kidney and renal cell carcinoma (RCC) tissues using Cell2Spatial. by Huamei Li (8815955)

Subjects: “…Cell Biology…”

Inflammatory cell ODE parameter iterations after tuning using the genetic algorithm (GA) and manual adjustment. by Amanda M. Westman (10777800)

Spatial characterization and cell-type-specific genes in mouse brain tissue. by Huamei Li (8815955)

Subjects: “…Cell Biology…”

Spatial transcriptomics (ST) and single-cell atlases of multiple human tissues. by Huamei Li (8815955)

Subjects: “…Cell Biology…”

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

Subjects:

Architecture of the 3D ResNet. by Adam L. Tyson (10892822)

Subjects:

Architecture of the bottleneck 3D ResNet. by Adam L. Tyson (10892822)

Subjects:

Simplified schematic diagram of the serial two-photon microscope and data acquisition process. by Adam L. Tyson (10892822)

Subjects:

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by 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). …”

Raw data of Cell experiments. by Jie Chu (293795)

Subjects:

Analyses of Immune microenvironment and functions between gene clusters by Jiangli Zhao (2308330)

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer by 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.…”

Differential analysis between the high- and low-risk score groups and functional analyses of DEGs. by Jian Wen (286688)

Subjects:

Expression of PRR11 in ES and normal bone tissues. by Jian Wen (286688)

Subjects:

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

Subjects:

Highly interrelated genes and their biological functions among 21 cancers. by Qunlun Shen (11668968)

BeAR: beige adipose area calculator (image analysis software) by Tamás Röszer (4355869)

Subjects: “…Biochemistry and cell biology not elsewhere classified…”

Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks. by Gursimran Singh (575288)

Subjects: