University of Arizona authors' scholarly works published and cited works year 2022 from OpenAlex by Yan Han (11106597)

“…</li><li><b>Data Retrieval:</b> The process involves using the oa_fetch function from the openalexR package with the entity="works" parameter and specifying the institutions.ror.…”

University of Arizona authors' scholarly works published and cited works year 2023 from OpenAlex by Yan Han (11106597)

“…Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i></p><p><br></p>…”

University of Arizona authors' scholarly works published and cited works year 2021 from OpenAlex by Yan Han (11106597)

“…</li><li><b>Data Retrieval:</b> The process involves using the oa_fetch function from the openalexR package with the entity="works" parameter and specifying the institutions.ror.…”

University of Arizona authors' scholarly works published and cited works year 2024 from OpenAlex by Yan Han (11106597)

“…</li><li><b>Data Retrieval:</b> The process involves using the oa_fetch function from the openalexR package with the entity="works" parameter and specifying the institutions.ror.…”

University of Arizona authors' scholarly works published and cited works year 2020 from OpenAlex by Yan Han (11106597)

“…</li><li><b>Data Retrieval:</b> The process involves using the oa_fetch function from the openalexR package with the entity="works" parameter and specifying the institutions.ror.…”

PresQT - Services to Improve Re-use and FAIRness of Research Data and Software by Sandra Gesing (4501198)

“…PresQT services are easily integratable and target systems can be added via extending JSON files and Python functions. Data is packaged as BagITs for uploads, downloads and transfers. …”

A-scalable method-to-construct-compact-road-networks-from-GPS-trajectories.zip by Yuejun Guo (8768960)

“…</li></ol><p></p><p>-- Description of functions:<br></p><ol><li>main.m: the main function to run the algorithm<br></li><li>resampleTra.m: to resample the trajectories<br></li><li>obtainDensity: compute the density destribution of trajectory data<br></li><li>slide: to adjust data. …”

Maned wolf (Chrysocyon brachyurus) urinary volatile organic compounds by 0000-0001-5045-6725 (11090142)

“…The xcms package contains functions to identify ion peaks, group the same ion peaks across replicates, correct retention time drift using the Obiwarp algorithm, and then use the corrected retention times to regroup ion peaks across replicates. …”

Table_3_A Prognostic Signature Consisting of Pyroptosis-Related Genes and SCAF11 for Predicting Immune Response in Breast Cancer.XLSX by Ling Chu (434707)

“…Knocking down SCAF11 possessed an anti-cancer effect in terms of inhibiting cell viability and suppressing colony-formation in in-vitro functional assays. Meanwhile, the biological functions of SCAF11 in BRCA were further validated with several algorithms, such as Xiantao tool, LinkedOmics, GEPIA2, and TISIDB. …”

Table_2_A Prognostic Signature Consisting of Pyroptosis-Related Genes and SCAF11 for Predicting Immune Response in Breast Cancer.XLSX by Ling Chu (434707)

“…Knocking down SCAF11 possessed an anti-cancer effect in terms of inhibiting cell viability and suppressing colony-formation in in-vitro functional assays. Meanwhile, the biological functions of SCAF11 in BRCA were further validated with several algorithms, such as Xiantao tool, LinkedOmics, GEPIA2, and TISIDB. …”

Image_1_A Prognostic Signature Consisting of Pyroptosis-Related Genes and SCAF11 for Predicting Immune Response in Breast Cancer.TIF by Ling Chu (434707)

“…Knocking down SCAF11 possessed an anti-cancer effect in terms of inhibiting cell viability and suppressing colony-formation in in-vitro functional assays. Meanwhile, the biological functions of SCAF11 in BRCA were further validated with several algorithms, such as Xiantao tool, LinkedOmics, GEPIA2, and TISIDB. …”

Table_1_A Prognostic Signature Consisting of Pyroptosis-Related Genes and SCAF11 for Predicting Immune Response in Breast Cancer.XLSX by Ling Chu (434707)

“…Knocking down SCAF11 possessed an anti-cancer effect in terms of inhibiting cell viability and suppressing colony-formation in in-vitro functional assays. Meanwhile, the biological functions of SCAF11 in BRCA were further validated with several algorithms, such as Xiantao tool, LinkedOmics, GEPIA2, and TISIDB. …”

Polyanion sodium cathode materials dataset by Martin Hoffmann Petersen (13626778)

“…</p><p dir="ltr">The complete dataset, including all structures with atomic charge as well as the structures without atomic charge obtained during structural optimization (298,144 structures), is available as <i>polyanion_cathode_dataset_with_optimization_steps/Combined.xyz</i>.</p><p dir="ltr"><br>To extract structural compositions and physical properties, the ase.io.read function from ASE version 3.23.0 is used. …”

Code by Baoqiang Chen (21099509)

“…We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …”

Core data by Baoqiang Chen (21099509)

“…We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …”

Optimal Network Membership Estimation under Severe Degree Heterogeneity by Zheng Tracy Ke (8293395)

“…To obtain a rate-optimal method, we modify an existing spectral algorithm, Mixed-SCORE, by adding a pre-PCA normalization step. …”

Community-level predictors of infection risk. by Thomas S. Kraft (3255267)

“…Each outcome (row) is plotted as a function of community distance to nearest market town (first column), community size (second column), community density (third column), and ln+1-transformed community betweenness centrality (measured using an algorithm for weighted, directed graphs, with weights equal to the visitation probabilities from the travel sociomatrix used in the model) (fourth column). …”

Supporting Information by Anastasiia Mikhailova (22178497)

“…Electronic supplementary information (ESI) available: Figure S1. Scheme of the first step of MLIP training procedure. Figure S2. Scheme of the second step of MLIP training procedure. …”

MCCN Case Study 2 - Spatial projection via modelled data by Donald Hobern (21435904)

“…This study demonstrates: 1) Description of spatial assets using STAC, 2) Loading heterogeneous data sources into a cube, 3) Spatial projection in xarray using different algorithms offered by the <a href="https://pypi.org/project/PyKrige/" rel="nofollow" target="_blank">pykrige</a> and <a href="https://pypi.org/project/rioxarray/" rel="nofollow" target="_blank">rioxarray</a> packages.…”

Estimation of Knots in Linear Spline Models by Guangyu Yang (128903)

“…Simulation studies have shown that the two-step algorithm performs well in terms of both statistical and computational properties and improves over existing methods. …”