Table_2_BarleyNet: A Network-Based Functional Omics Analysis Server for Cultivated Barley, Hordeum vulgare L..docx by Sungho Lee (1678021)

“…We implemented three complementary network-based algorithms for prioritizing genes or functional concepts to study genetic components of complex traits such as environmental stress responses: (i) a pathway-centric search for candidate genes of pathways or complex traits; (ii) a gene-centric search to infer novel functional concepts for genes; and (iii) a context-centric search for novel genes associated with stress response. …”

Table_1_BarleyNet: A Network-Based Functional Omics Analysis Server for Cultivated Barley, Hordeum vulgare L..docx by Sungho Lee (1678021)

“…We implemented three complementary network-based algorithms for prioritizing genes or functional concepts to study genetic components of complex traits such as environmental stress responses: (i) a pathway-centric search for candidate genes of pathways or complex traits; (ii) a gene-centric search to infer novel functional concepts for genes; and (iii) a context-centric search for novel genes associated with stress response. …”

BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data by Jean-Christophe Lachance (6619307)

“…Despite its importance, no standardized computational platform is currently available to generate species-specific biomass objective functions in a data-driven, unbiased fashion. To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …”

Fig 8 - by Li Jiashen (20552690)

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Fig 9 - by Li Jiashen (20552690)

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Fig 10 - by Li Jiashen (20552690)

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Python scripts used to model CPU errors by Poisson distribution density mass function and to draw graph of Poisson events (needs Matplot, SciPy, PysimpleGUI and NumPy) by Santhosh Kumar Rajamani (13023678)

Compression rate of DDQR using real data. by Yujun Wang (1947196)

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Comparison of compression rates of DDQR and Geco3 using real data. by Yujun Wang (1947196)

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Contrast enhancement of digital images using dragonfly algorithm by Soumyajit Saha (19726163)

“…Comparisons with state-of-art methods ensure the superiority of the proposed algorithm. The Python implementation of the proposed approach is available in this <a href="https://github.com/somnath796/DA_contrast_enhancement" target="_blank">Github repository</a>.…”

The process of function F in the improved Blowfish algorithm. by Sathish Kaveripakam (16940710)

The <i>ℓ</i>₂-norm of the image difference between the reconstructed image and the ground truth for a certain scale of atelectasis. by Rongqing Chen (249906)

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Final assignment algorithm. by Negin Alisoltani (11949357)

Swarm intelligence algorithms for width and length on influence games by Francisco Muñoz (9455441)

“…Algorithms implemented on article "Finding extremal winning and losing coalitions for large influence games through swarm intelligence-based methods".…”

Gene content overlap in <i>RNF43 G659fs</i> mutation-specific pathways. by Alexis M. Thornton (11068403)

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Function of signature-based and anomaly-based IDS. by Nasrullah Khan (13778350)

Box plot of the ADGWDTO and competing algorithms for the seven benchmark functions. by El-Sayed M. El-kenawy (14581088)

A Genetic Algorithm Approach for Compact Wave Function Representations in Spin-Adapted Bases by Maru Song (22593561)

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Verification of the in-line PS function. by Raul Castañeda (13932971)

Available functions in the utility package. by Raul Castañeda (13932971)