Volltext-Artikel, E-Books und Literaturhinweise aus dem EBSCO Discovery Service
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1
von Bundy, Joseph L. ; Rogers, Jesse D. ; Shah, Imran ; et al.
Journal of Chemical Information and Modeling. 65(13):6671-6684
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2
von Eisner, Nora L. ; Grunblatt, Samuel K. ; Barragán, Oscar ; et al.
Published in AJ, 2024
Schlagworte: Astrophysics - Earth and Planetary Astrophysics
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3
von Johnson, James ; Bundy, Joseph L. ; Harrill, Joshua A. ; et al.
In Computational Toxicology December 2025 36
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von Abdurro'uf ; Accetta, Katherine ; Aerts, Conny ; et al.
Schlagworte: Astrophysics - Astrophysics of Galaxies; Astrophysics - Instrumentation and Methods for Astrophysics
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5
von Bundy, Joseph L. ; Everett, Logan J. ; Rogers, Jesse D. ; et al.
In Toxicology and Applied Pharmacology October 2024 491
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von Ahumada, Romina ; Prieto, Carlos Allende ; Almeida, Andres ; et al.
Schlagworte: Astrophysics - Astrophysics of Galaxies; Astrophysics - Cosmology and Nongalactic Astrophysics; Astrophysics - Instrumentation and Methods for Astrophysics
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von Joseph L. Bundy ; Jesse D. Rogers ; Imran Shah ; et al.
Schlagworte: Biochemistry; Genetics; Pharmacology; Sociology; Inorganic Chemistry; Environmental Sciences not elsewhere classified; Biological Sciences not elsewhere classified; Mathematical Sciences not elsewhere classified; Chemical Sciences not elsewhere classified; Information Systems not elsewhere classified; value ≤ 0; performed significantly better; nine mies modeled; new bioinformatic approaches; machine learning approach; identifies reference chemicals; glucocorticoid receptor agonism; extracting mechanistic insight; excluded reference chemicals; estrogen receptor agonism; correctly predicted mies; 1750 test chemicals; chemical safety information; chemical hazard identification; generate mie predictions; transcriptomic data sets; three yielded classifiers; framework trains models; reference chemical exposures; l
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von Laura J Word ; Clinton M Willis ; Richard S Judson ; et al.
PLoS ONE, Vol 20, Iss 5, p e0320862 (2025)
Schlagworte: Medicine; Science
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10
von Laura J. Word ; Clinton M. Willis ; Richard S. Judson ; et al.
Schlagworte: Biochemistry; Genetics; Molecular Biology; Immunology; Developmental Biology; Cancer; Biological Sciences not elsewhere classified; transcriptomics technologies allow; different read depths; average pearson correlation; 76 &# 8211; gene ontologies annotated; cellular structure functions; pearson correlation 0; concordant expression levels; 90 – 0; 810 genes ); 290 genes within; principal component analysis; div >< p; calculating relative log; normalized expression data; seq data sets; seq rle data; seq data; ribosomal functions; ontologies associated; data acquisition; 480 genes; well correlated
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11
von Blanton, Michael R. ; Bershady, Matthew A. ; Abolfathi, Bela ; et al.
The Astronomical Journal, Volume 154, Number 1, pp. 28-62 (2017)
Schlagworte: Astrophysics - Astrophysics of Galaxies
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12
von Joseph L. Bundy
Schlagworte: Toxicology (incl. clinical toxicology); High Throughput Transcriptomics; Molecular Initiating Events; Machine Learning; New Approach Methods (Alternatives to Animal Testing)
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13
von Abolfathi, Bela ; Aguado, D. S. ; Aguilar, Gabriela ; et al.
Schlagworte: Astrophysics - Astrophysics of Galaxies; Astrophysics - Instrumentation and Methods for Astrophysics
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14
von Cheung, Edmond ; Bundy, Kevin ; Cappellari, Michele ; et al.
Schlagworte: Astrophysics - Astrophysics of Galaxies
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15
von Joseph L. Bundy ; Richard Judson ; Antony J. Williams ; et al.
BioData Mining, Vol 15, Iss 1, Pp 1-27 (2022)
Schlagworte: Molecular initiating events; Chemical safety screening; Machine learning; High throughput transcriptomics; Binary classification; RefChemDB; Computer applications to medicine. Medical informatics; R858-859.7; Analysis; QA299.6-433
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von Li, Cheng ; Wang, Enci ; Lin, Lin ; et al.
Schlagworte: Astrophysics - Astrophysics of Galaxies; Astrophysics - Cosmology and Nongalactic Astrophysics
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17
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18
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19
von McDevitt, Joseph L. ; Srinivasa, Ravi N. ; Hage, Anthony N. ; et al.
Pediatric Radiology. 49(6):808-818
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20
von Laura J. Word ; Clinton M. Willis ; Richard S. Judson ; et al.
Schlagworte: Biochemistry; Genetics; Molecular Biology; Immunology; Developmental Biology; Cancer; Biological Sciences not elsewhere classified; transcriptomics technologies allow; different read depths; average pearson correlation; 76 &# 8211; gene ontologies annotated; cellular structure functions; pearson correlation 0; concordant expression levels; 90 – 0; 810 genes ); 290 genes within; principal component analysis; div >< p; calculating relative log; normalized expression data; seq data sets; seq rle data; seq data; ribosomal functions; ontologies associated; data acquisition; 480 genes; well correlated
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21
von McDevitt, Joseph L. ; Srinivasa, Ravi N. ; Gemmete, Joseph J. ; et al.
CardioVascular and Interventional Radiology. 42(2):205-212
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22
von Laura J. Word ; Clinton M. Willis ; Richard S. Judson ; et al.
Schlagworte: Biochemistry; Genetics; Molecular Biology; Immunology; Developmental Biology; Cancer; Biological Sciences not elsewhere classified; transcriptomics technologies allow; different read depths; average pearson correlation; 76 &# 8211; gene ontologies annotated; cellular structure functions; pearson correlation 0; concordant expression levels; 90 – 0; 810 genes ); 290 genes within; principal component analysis; div >< p; calculating relative log; normalized expression data; seq data sets; seq rle data; seq data; ribosomal functions; ontologies associated; data acquisition; 480 genes; well correlated
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23
von Laura J. Word ; Clinton M. Willis ; Richard S. Judson ; et al.
Schlagworte: Biochemistry; Genetics; Molecular Biology; Immunology; Developmental Biology; Cancer; Biological Sciences not elsewhere classified; transcriptomics technologies allow; different read depths; average pearson correlation; 76 &# 8211; gene ontologies annotated; cellular structure functions; pearson correlation 0; concordant expression levels; 90 – 0; 810 genes ); 290 genes within; principal component analysis; div >< p; calculating relative log; normalized expression data; seq data sets; seq rle data; seq data; ribosomal functions; ontologies associated; data acquisition; 480 genes; well correlated
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24
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25
von Laura J. Word ; Clinton M. Willis ; Richard S. Judson ; et al.
Schlagworte: Biochemistry; Genetics; Molecular Biology; Immunology; Developmental Biology; Cancer; Biological Sciences not elsewhere classified; transcriptomics technologies allow; different read depths; average pearson correlation; 76 &# 8211; gene ontologies annotated; cellular structure functions; pearson correlation 0; concordant expression levels; 90 – 0; 810 genes ); 290 genes within; principal component analysis; div >< p; calculating relative log; normalized expression data; seq data sets; seq rle data; seq data; ribosomal functions; ontologies associated; data acquisition; 480 genes; well correlated
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