Connection
Timothy Ashby to Gene Expression Profiling
This is a "connection" page, showing publications Timothy Ashby has written about Gene Expression Profiling.
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0.307 |
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Boyle EM, Rosenthal A, Wang Y, Farmer P, Rutherford M, Ashby C, Bauer M, Johnson SK, Wardell CP, Hoering A, Schinke C, Thanendrarajan S, Zangari M, Barlogie B, Davies FE, Walker BA, van Rhee F, Morgan GJ. High-risk transcriptional profiles in multiple myeloma are an acquired feature that can occur in any subtype and more frequently with each subsequent relapse. Br J Haematol. 2021 10; 195(2):283-286.
Score: 0.142
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Sun F, Cheng Y, Ying J, Mery D, Al Hadidi S, Wanchai V, Siegel ER, Xu H, Gai D, Ashby TC, Bailey C, Chen JR, Schinke C, Thanendrarajan S, Zangari M, Janz S, Barlogie B, Van Rhee F, Tricot G, Shaughnessy JD, Zhan F. A gene signature can predict risk of MGUS progressing to multiple myeloma. J Hematol Oncol. 2023 06 29; 16(1):70.
Score: 0.041
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Boyle EM, Rosenthal A, Ghamlouch H, Wang Y, Farmer P, Rutherford M, Ashby C, Bauer M, Johnson SK, Wardell CP, Wang Y, Hoering A, Schinke C, Thanendrarajan S, Zangari M, Barlogie B, Dhodapkar MV, Davies FE, Morgan GJ, van Rhee F, Walker BA. Plasma cells expression from smouldering myeloma to myeloma reveals the importance of the PRC2 complex, cell cycle progression, and the divergent evolutionary pathways within the different molecular subgroups. Leukemia. 2022 02; 36(2):591-595.
Score: 0.036
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Choudhury SR, Ashby C, Tytarenko R, Bauer M, Wang Y, Deshpande S, Den J, Schinke C, Zangari M, Thanendrarajan S, Davies FE, van Rhee F, Morgan GJ, Walker BA. The functional epigenetic landscape of aberrant gene expression in molecular subgroups of newly diagnosed multiple myeloma. J Hematol Oncol. 2020 08 06; 13(1):108.
Score: 0.033
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Schinke C, Boyle EM, Ashby C, Wang Y, Lyzogubov V, Wardell C, Qu P, Hoering A, Deshpande S, Ryan K, Thanendrarajan S, Mohan M, Yarlagadda N, Khan M, Choudhury SR, Zangari M, van Rhee F, Davies F, Barlogie B, Morgan G, Walker BA. Genomic analysis of primary plasma cell leukemia reveals complex structural alterations and high-risk mutational patterns. Blood Cancer J. 2020 06 19; 10(6):70.
Score: 0.033
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Ma S, Johnson D, Ashby C, Xiong D, Cramer CL, Moore JH, Zhang S, Huang X. SPARCoC: a new framework for molecular pattern discovery and cancer gene identification. PLoS One. 2015; 10(3):e0117135.
Score: 0.023
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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