Search alternatives:
complement forest » complement past (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
level coding » level according (Expand Search), level modeling (Expand Search), level using (Expand Search)
complement forest » complement past (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
level coding » level according (Expand Search), level modeling (Expand Search), level using (Expand Search)
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361
Table 1_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx
Published 2024“…Lastly, we provide a novel evaluation of noncoding SNP incorporation methods by testing which enabled the highest sensitivity/accuracy of known cell-state calls.…”
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362
Table 2_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx
Published 2024“…Lastly, we provide a novel evaluation of noncoding SNP incorporation methods by testing which enabled the highest sensitivity/accuracy of known cell-state calls.…”
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363
Table 9_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx
Published 2024“…Lastly, we provide a novel evaluation of noncoding SNP incorporation methods by testing which enabled the highest sensitivity/accuracy of known cell-state calls.…”
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364
Table 5_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx
Published 2024“…Lastly, we provide a novel evaluation of noncoding SNP incorporation methods by testing which enabled the highest sensitivity/accuracy of known cell-state calls.…”
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365
Table 7_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx
Published 2024“…Lastly, we provide a novel evaluation of noncoding SNP incorporation methods by testing which enabled the highest sensitivity/accuracy of known cell-state calls.…”
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366
Table 6_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx
Published 2024“…Lastly, we provide a novel evaluation of noncoding SNP incorporation methods by testing which enabled the highest sensitivity/accuracy of known cell-state calls.…”
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367
Table 10_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx
Published 2024“…Lastly, we provide a novel evaluation of noncoding SNP incorporation methods by testing which enabled the highest sensitivity/accuracy of known cell-state calls.…”
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368
Table 3_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx
Published 2024“…Lastly, we provide a novel evaluation of noncoding SNP incorporation methods by testing which enabled the highest sensitivity/accuracy of known cell-state calls.…”
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369
Table 4_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx
Published 2024“…Lastly, we provide a novel evaluation of noncoding SNP incorporation methods by testing which enabled the highest sensitivity/accuracy of known cell-state calls.…”
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370
Table 11_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx
Published 2024“…Lastly, we provide a novel evaluation of noncoding SNP incorporation methods by testing which enabled the highest sensitivity/accuracy of known cell-state calls.…”
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371
Table 8_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx
Published 2024“…Lastly, we provide a novel evaluation of noncoding SNP incorporation methods by testing which enabled the highest sensitivity/accuracy of known cell-state calls.…”
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372
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373
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374
EvoFuzzy
Published 2024“…The algorithm evolves a population of networks using fuzzy trigonometric differential evolution, with gene expression predictions based on confidence levels applied through a fuzzy logic-based predictor.…”
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375
TreeMap 2016: A tree-level model of the forests of the conterminous United States circa 2016
Published 2025“…The raster map of plot identifiers can be linked to the FIA databases available through the FIA DataMart (https://doi.org/10.2737/RDS-2001-FIADB) or to the text and SQL files included in this data publication to produce tree-level maps or to map other plot attributes. The accompanying database files included in this publication also contain attributes regarding the FIA plot CN (or control number, a unique identifier for each time a plot is measured), the subplot number, the tree record number, and for each tree: the status (live or dead), species, diameter, height, actual height (where broken), crown ratio, number of trees per acre, and a code for cause of death where applicable. …”
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376
Data Sheet 1_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.docx
Published 2024“…Lastly, we provide a novel evaluation of noncoding SNP incorporation methods by testing which enabled the highest sensitivity/accuracy of known cell-state calls.…”
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377
Communication-Efficient Distributed Estimation and Inference for Cox’s Model
Published 2025“…<p>Motivated by multi-center biomedical studies that cannot share individual data due to privacy and ownership concerns, we develop communication-efficient iterative distributed algorithms for estimation and inference in the high-dimensional sparse Cox proportional hazards model. …”
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378
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379
Fire Lab tree list: A tree-level model of the conterminous United States landscape circa 2014
Published 2025“…Forest Service’s Forest and Inventory Analysis program (FIA) version 1.7.1 and 2) the landscape target data, which consisted of raster data at 30x30 meter (m) resolution provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE; https://landfire.gov/) FIA plots were imputed to the raster data by the random forests algorithm, providing a tree-level model of all forested areas in the conterminous U.S. …”
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380