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

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Mapping and confirmation of the <i>arches</i> locus. by McKenna Feltes (11242085)

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

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Forward genetic screen identifies 28 dark yolk mutants. by McKenna Feltes (11242085)

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Summary of WGS datasets. by McKenna Feltes (11242085)

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Oligo sequences. by McKenna Feltes (11242085)

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<i>zion</i> WGS summary. by McKenna Feltes (11242085)

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Confirmation of the <i>zion</i> locus. by McKenna Feltes (11242085)

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<i>slc3a2a</i>^<i>zion</i> is a novel regulator of B-lp metabolism. by McKenna Feltes (11242085)

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(<i>Left</i>) Reconstruction and performance of the message-passing algorithm for binary patterns. by Sebastian Goldt (14522594)

“…<p>We plot the mse (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e027" target="_blank">7</a>) obtained by the AMP algorithm (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e072" target="_blank">32</a>) as a function of the effective noise Δ (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e032" target="_blank">9</a>) (blue crosses). …”

Evaluation of the optimization algorithm using <i>in vitro</i> microbiome reference values. by Juan Ricardo Velasco-Álvarez (16859181)

“…<p>A: Evolution of biomass fraction distribution during the cycles of adaptation enforced by the gradient descent algorithm using a value of <i>α</i> = 0.25 and <i>in vitro</i> abundance data obtained from [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0290082#pone.0290082.ref021" target="_blank">21</a>]; B: Comparison of pie charts for the <i>in vitro</i> reference biomass percentage distributions (left) and the obtained with the modeling strategy based on the gradient descent algorithm (right); C: Performance functional (<i>J</i>) evolution for <i>in vitro</i> microbiome simulation.…”

Search Algorithms and Loss Functions for Bayesian Clustering by David B. Dahl (11761055)

“…<p>We propose a randomized greedy search algorithm to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. …”

STUDY OF THE INFLUENCE OF WOOD PROPERTIES ON THE CHARCOAL PRODUCTION: APPLYING THE RANDOM FOREST ALGORITHM by Kaléo Dias Pereira (10383513)

“…The apparent relative density of charcoal was the variable in which the random forest algorithm reached the best level of explanation of the variability as a function of the properties of wood, while the minor error was observed for the fixed carbon content.…”

Effect of post-processing threshold and algorithms performance on the communities abundance-structure estimation. by Valentine Fleuré (12822137)

“…<p>Estimation of abundance-structure as a function of post-processing threshold for 45 automated analysis models resulting from 9 detection models, with their respective recall (“det_recall” – columns) and precision (“det_prec” – rows) performances and 5 classification models (accuracy (“cla_acc”) as colors) for 1 frame per second processing rate. …”

Convergence curves of different algorithms on the benchmark functions. by Aihua Guo (13267712)

Algorithm results based on experimental likelihood functions. by Nicolas Herzig (9230425)

Benchmark functions T-test for the proposed and compared algorithms. by El-Sayed M. El-kenawy (14581088)

Versatile Descent Algorithms for Group Regularization and Variable Selection in Generalized Linear Models by Nathaniel E. Helwig (8452212)

“…Unlike previously proposed algorithms, the proposed algorithm adaptively bounds the Fisher information matrix, which results in a flexible and stable computational framework. …”

Supplementary Figures and tables from A Functional Screen Identifies miRs That Induce Radioresistance in Glioblastomas by Patryk Moskwa (15078010)

Synthetic Realness: Authenticity as Algorithm (Reality Drift Working Paper Series, 2025) by Reality Drift Working Papers Series 2020-2025 (22445446)

“…<p dir="ltr">This paper explores the concept of synthetic realness: how authenticity is increasingly engineered by algorithms until the line between real and fake becomes functionally irrelevant. …”