Schematic diagram depicting the <i>in-vitro</i> co-culture model setup. by Elias Vera-Siguenza (16993830)

Functional profiling of GS height <i>preserved</i> modules with cumulative evidence for genomic risk effect on co-expression; PITT sample. by Eugenia Radulescu (319733)

Functional profiling of GS-SCZ <i>preserved</i> modules with cumulative evidence for genomic risk effect on co-expression- PITT sample. by Eugenia Radulescu (319733)

First order statistics of image noise measurements as a function of exposure and grouped according to different reconstruction protocols. by George Amadeus Prenosil (8582295)

Constructing the dynamical law. by Robert Marsland (8616483)

The rules obtained with the original method versus the ones obtained with the improved parameter classification algorithm. by Ljubisa Miskovic (4175095)

S1 File - by Yuh-Chin T. Huang (17867207)

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S1 Dataset - by Yuh-Chin T. Huang (17867207)

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Development of the CO₂ Adsorption Model on Porous Adsorbent Materials Using Machine Learning Algorithms by Hossein Mashhadimoslem (11456548)

“…In this research study, we created a data set and collected data points from porous adsorbents (2789) from 21 published papers, including carbon-based, porous polymers, metal–organic frameworks (MOFs), and zeolites, to understand their characteristics for CO₂ adsorption. Different machine learning (ML) algorithms, such as NN, MLP-GWO, XGBoost, RF, DT, and SVM, have been applied to display the CO₂ adsorption performance as a function of characteristics and adsorption isotherm parameters. …”

SARS-CoV-2 secondary structure predictions via KnotAli. by Luke Trinity (6792770)

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Dominant SARS-CoV-2 pseudoknot motif predictions via Shapify. by Luke Trinity (6792770)

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Schematic diagram depicting the workflow to generate our <i>in-silico</i> co-culture model. by Elias Vera-Siguenza (16993830)

SARS-CoV-2 secondary structure motifs free energy per nt. by Luke Trinity (6792770)

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Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic by NELSON L. DIAS (8078003)

“…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. …”

SARS-CoV-2 pseudoknot predictions overlap, 222 nt window via Shapify. by Luke Trinity (6792770)

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<b>Algorithm Pseudocode</b> by Yibin Zhao (22425801)

Algorithm for generating virtual patients. by Adrianne L. Jenner (11133854)

“…<b>2)</b> The model evaluated is then simulated on this parameter set to obtain <i>y</i>(<i>t</i>, <i>p</i>). <b>3)</b> A simulated annealing algorithm is then used to determine a parameter set that optimises the objective function <i>J</i>(<i>p</i>) (<a href="http://www.plospathogens.org/article/info:doi/10.1371/journal.ppat.1009753#ppat.1009753.e059" target="_blank">Eq 17</a>). …”

SARS-CoV-2 long range pseudoknot predictions, 222 nt window via Shapify. by Luke Trinity (6792770)

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Shortest and longest window sizes used for SARS-CoV-2 structure predictions via Shapify. by Luke Trinity (6792770)

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Structural regions involving pseudoknots in SARS-CoV-2, 144 nt window via Shapify. by Luke Trinity (6792770)

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