Matlab code of a function used in S2 File. by Hiroko Kato Solvang (5718250)

Computer Model Emulation with High-Dimensional Functional Output in Large-Scale Observing System Uncertainty Experiments by Pulong Ma (6105767)

“…Within each distinct spectral band, the emulator represents radiance output at irregular wavelengths as a linear combination of basis functions and random coefficients. These random coefficients are then modeled with nearest-neighbor Gaussian processes with built-in input dimension reduction via active subspace. …”

New-Generation Electron-Propagator Methods for Calculations of Electron Affinities and Ionization Energies: Tests on Organic Photovoltaic Molecules by Ernest Opoku (86078)

Subjects: “…quintically scaling algorithms…”

New-Generation Electron-Propagator Methods for Calculations of Electron Affinities and Ionization Energies: Tests on Organic Photovoltaic Molecules by Ernest Opoku (86078)

Subjects: “…quintically scaling algorithms…”

New-Generation Electron-Propagator Methods for Calculations of Electron Affinities and Ionization Energies: Tests on Organic Photovoltaic Molecules by Ernest Opoku (86078)

Subjects: “…quintically scaling algorithms…”

New-Generation Electron-Propagator Methods for Calculations of Electron Affinities and Ionization Energies: Tests on Organic Photovoltaic Molecules by Ernest Opoku (86078)

Subjects: “…quintically scaling algorithms…”

Systematically Improvable Tensor Hypercontraction: Interpolative Separable Density-Fitting for Molecules Applied to Exact Exchange, Second- and Third-Order Møller–Plesset Perturbat... by Joonho Lee (1351974)

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Acc epoch loss curve of IPCA algorithm. by Lu Lin (201289)

PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. by Gursimran Singh (575288)

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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. …”

Python code for a rule-based NLP model for mapping circular economy indicators to SDGs by Zahir Barahmand (18008947)

“…The package includes:</p><ul><li>The complete Python codebase implementing the classification algorithm</li><li>A detailed manual outlining model features, requirements, and usage instructions</li><li>Sample input CSV files and corresponding processed output files to demonstrate functionality</li><li>Keyword dictionaries for all 17 SDGs, distinguishing strong and weak matches</li></ul><p dir="ltr">These materials enable full reproducibility of the study, facilitate adaptation for related research, and offer transparency in the methodological framework.…”

Studies on <i>Agrobacterium</i>-mediated gene transformation of chrysanthemums using <i>GUS</i> gene. by Mohsen Hesami (6917390)

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The results of sensitivity analysis on the developed ensemble model to rank the importance of factors involved in <i>Agrobacterium</i>-mediated gene transformation of chrysanthemum... by Mohsen Hesami (6917390)

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Performance criteria of individual and ensemble models for gene transformation efficiency of chrysanthemum in training, testing, and validation processes. by Mohsen Hesami (6917390)

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The results of optimization process via FOA for gene transformation efficiency of chrysanthemum. by Mohsen Hesami (6917390)

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Scatter plot of model predicted vs. observed data of chrysanthemum gene transformation efficiency by ensemble model. by Mohsen Hesami (6917390)

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The schematic view of the proposed ensemble model. by Mohsen Hesami (6917390)

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2lpiRNApred: a two-layered integrated algorithm for identifying piRNAs and their functions based on LFE-GM feature selection by Yun Zuo (8541492)

“…Five feature extraction strategies, namely, Kmer, General parallel correlation pseudo-dinucleotide composition, General series correlation pseudo-dinucleotide composition, Normalized Moreau–Broto autocorrelation, and Geary autocorrelation, and two types of classifier, Sparse Representation Classifier (SRC) and support vector machine with Mahalanobis distance-based radial basis function (SVMMDRBF), were used to construct a two-layered integrated classifier algorithm, 2lpiRNApred. …”

Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics by Paolo Cifani (1575613)

“…Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. …”

Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics by Paolo Cifani (1575613)

“…Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. …”