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Assessing equivalent and inverse change in genes between diverse experiments.
Neums, Lisa; Koestler, Devin C; Xia, Qing; Hu, Jinxiang; Patel, Shachi; Bell-Glenn, Shelby; Pei, Dong; Zhang, Bo; Boyd, Samuel; Chalise, Prabhakar; Thompson, Jeffrey A.
Affiliation
  • Neums L; Department of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, United States.
  • Koestler DC; University of Kansas Cancer Center, Kansas City, KS, United States.
  • Xia Q; Department of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, United States.
  • Hu J; University of Kansas Cancer Center, Kansas City, KS, United States.
  • Patel S; Department of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, United States.
  • Bell-Glenn S; University of Kansas Cancer Center, Kansas City, KS, United States.
  • Pei D; Department of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, United States.
  • Zhang B; University of Kansas Cancer Center, Kansas City, KS, United States.
  • Boyd S; Department of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, United States.
  • Chalise P; University of Kansas Cancer Center, Kansas City, KS, United States.
  • Thompson JA; Department of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, United States.
Front Bioinform ; 2: 893032, 2022.
Article in En | MEDLINE | ID: mdl-36304274
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Front Bioinform Year: 2022 Type: Article Affiliation country: United States
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Front Bioinform Year: 2022 Type: Article Affiliation country: United States