Risk Groups Immune Infiltration Analysis by ssGSEA Algorithm. by Yongling Wang (13261656)

Illustration of the cell detection process. by Adam L. Tyson (10892822)

Subjects:

<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.…”

Table S2 from Precision Oncology beyond Targeted Therapy: Combining Omics Data with Machine Learning Matches the Majority of Cancer Cells to Effective Therapeutics by Michael Q. Ding (15079000)

Table S1 from Precision Oncology beyond Targeted Therapy: Combining Omics Data with Machine Learning Matches the Majority of Cancer Cells to Effective Therapeutics by Michael Q. Ding (15079000)

Table S3 from Precision Oncology beyond Targeted Therapy: Combining Omics Data with Machine Learning Matches the Majority of Cancer Cells to Effective Therapeutics by Michael Q. Ding (15079000)

Tabel S4 from Precision Oncology beyond Targeted Therapy: Combining Omics Data with Machine Learning Matches the Majority of Cancer Cells to Effective Therapeutics by Michael Q. Ding (15079000)

Binary leaf image rotated anti-clock wise from the origin degree to 40^<i>o</i>, 80^<i>o</i>, 120^<i>o</i>, and 160^<i>o</i> from left to ri... by Ali Ahmed (2567584)

Subjects:

Constructing the dynamical law. by Robert Marsland (8616483)

Pyrho Validation - Check re-gridded periodic data by Jimmy Shen (12664675)

Data extraction and patient algorithm. by Jennifer M. Kwan (3350321)

Trainable parameters for different algorithms. by Anwar Hossain Efat (19942283)

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

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Genetic Algorithm parameter search. by Elishai Ezra-Tsur (11888717)

“…</b> Illustration of the second generation. The best individuals from Gen 0 are copied to Gen 1 and the rest are a combination of different individuals from the previous generation (illustrated by individuals with combinations of colors). …”

List of recurrent connections from the single column connectome of Drosophila. by Alexander Borst (32619)

Subjects:

Machine learning analysis of 10 hub genes related to SCI was performed using eight algorithms applied to the dataset. by Tianbao Feng (21722233)

Supplementary Table S4 from Detection of Enhancer-Associated Rearrangements Reveals Mechanisms of Oncogene Dysregulation in B-cell Lymphoma by Russell J.H. Ryan (15101277)

Representative neurons and their corresponding step functions. by Reem Khalil (10898163)

Subjects: “…Cell Biology…”

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

Subjects:

Data imputation algorithm for the vector x. by Yu Yang Fredrik Liu (9023738)