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

EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit حسب Gonzalo Colmenarejo (650249)

"…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …"

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results حسب Se-Hee Jo (20554623)

"…A Python-based algorithm was developed for estimating the nonrandom two-liquid (NRTL) model parameters of aqueous binary systems in a straightforward manner from simplified molecular-input line-entry specification (SMILES) strings of substances in a system. …"

Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined. حسب Yuanchen Zhao (12905580)

"…The reaction network is assumed to form a linear degradation chain 1 → 2 → ⋯ → <i>N</i> with the end-product concentration (metabolite <i>N</i>, orange) taken as the function of interest (shown with <i>N</i> = 3 as an example). …"

FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz حسب Faizan Ali (21689861)

الموضوعات:

Pipeline of the interactor algorithm. حسب Jose Cleydson F. Silva (8685594)

Proposed algorithm. حسب Keenjhar Ayoob (22339616)

Indel markers generated by WheresWalker for each mutant. حسب McKenna Feltes (11242085)

الموضوعات:

Candidate lists generated by WheresWalker for each mutant. حسب McKenna Feltes (11242085)

الموضوعات:

Background heterogeneity and sequencing depth improve WheresWalker SNPindex. حسب McKenna Feltes (11242085)

الموضوعات:

WheresWalker outperforms homozygosity density mapping for Maize mutant. حسب McKenna Feltes (11242085)

الموضوعات:

Benchmark functions. حسب Peiwen Zhang (1863202)

WheresWalker pipeline utilizes WGS data to identify segregating SNPs and indels. حسب McKenna Feltes (11242085)

الموضوعات:

Bulk Segregant Analysis (BSA) homozygosity mapping mirrors WheresWalker output. حسب McKenna Feltes (11242085)

الموضوعات:

WheresWalker identifies the correct chromosomal region for three dark yolk loci. حسب McKenna Feltes (11242085)

الموضوعات:

WGCNA and machine learning algorithms. حسب Shushu Wang (6870191)

Mapping indices: WheresWalker SNP index, Het^wt, and homozygosity values for zebrafish and maize datasets. حسب McKenna Feltes (11242085)

الموضوعات:

Ms.FPOP: A Fast Exact Segmentation Algorithm with a Multiscale Penalty حسب Arnaud Liehrmann (10970682)

"…This penalty was proposed by Verzelen et al. and achieves optimal rates for changepoint detection and changepoint localization in a non-asymptotic scenario. Our proposed algorithm, Multiscale Functional Pruning Optimal Partitioning (Ms.FPOP), extends functional pruning ideas presented in Rigaill and Maidstone et al. to multiscale penalties. …"

Fitness curves of the 6 test functions. حسب Peiwen Zhang (1863202)

If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. حسب Yuanchen Zhao (12905580)

"…Both versions are evaluated on the same synthetic datasets with a 3-group ground truth. Each algorithm return a set of coarsened <i>variables</i> (a grouping of species into three groups) and a <i>model</i> that uses these variables to predict the function. …"