Sparkler plot representation of functional impact of ARAF variants. by Alexis M. Thornton (11068403)

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Comparison of algorithms in two cases. by Yi Tao (178829)

Subjects: “…evolutionary genetic algorithm…”

Flow of the NSGA-II algorithm. by Yi Tao (178829)

Subjects: “…evolutionary genetic algorithm…”

TCGA COAD expression in marker genes from eVIP2-identified pathways. by Alexis M. Thornton (11068403)

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ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space by Koushik Naskar (7510592)

“…In order to overcome such shortcoming, we develop a generalized algorithm, “ADT” to generate the nonadiabatic equations through symbolic manipulation and to construct highly accurate diabatic surfaces for molecular processes involving excited electronic states. …”

Automated unsupervised annotation of clones in the larval eye. by Sebastian M. Bernasek (8525829)

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Automated correction of fluorescence bleedthrough in the larval eye. by Sebastian M. Bernasek (8525829)

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Fly-QMA: Automated analysis of mosaic imaginal discs in <i>Drosophila</i> by Sebastian M. Bernasek (8525829)

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GLAST-Cre⁺ cells from the GER mitotically regenerate IPhCs. by Tomokatsu Udagawa (11675636)

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Assignment of signal to individual cell candidates in the third dimension. Saggital sections (i.e. orthogonal to acquisition) shown. by Adam L. Tyson (10892822)

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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. …”

Data_Sheet_1_Transcranial magnetic stimulation mapping of the motor cortex: comparison of five estimation algorithms.docx by Yuanyuan Chen (165812)

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Table_1_Identifying Mild Hepatic Encephalopathy Based on Multi-Layer Modular Algorithm and Machine Learning.DOCX by Gaoyan Zhang (450697)

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Data_Sheet_1_Prediction of motor function in patients with traumatic brain injury using genetic algorithms modified back propagation neural network: a data-based study.docx by Hui Dang (4396087)

“…</p>Conclusion<p>The genetic algorithms modified back propagation neural network can predict motor function in patients with traumatic brain injury, which can be used as a reference for risk and prognosis assessment and guide clinical decision-making.…”

Data_Sheet_1_Prediction of motor function in patients with traumatic brain injury using genetic algorithms modified back propagation neural network: A data-based study.docx by Hui Dang (4396087)

“…</p>Conclusion<p>The genetic algorithms modified back propagation neural network can predict motor function in patients with traumatic brain injury, which can be used as a reference for risk and prognosis assessment and guide clinical decision-making.…”

Test on the remeshing algorithm with <i>N</i> = 50 points. by Ondrej Maxian (8722185)

Top 15 hub genes in five algorithms. by Tianqi Liu (1625776)

Table S1 from Phenotypic Mapping of Pathologic Cross-Talk between Glioblastoma and Innate Immune Cells by Synthetic Genetic Tracing by Matthias Jürgen Schmitt (15113509)

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Table S3 from Phenotypic Mapping of Pathologic Cross-Talk between Glioblastoma and Innate Immune Cells by Synthetic Genetic Tracing by Matthias Jürgen Schmitt (15113509)

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Table S2 from Phenotypic Mapping of Pathologic Cross-Talk between Glioblastoma and Innate Immune Cells by Synthetic Genetic Tracing by Matthias Jürgen Schmitt (15113509)

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