 Connection
Rasika Mathias to Transcriptome
This is a "connection" page, showing publications Rasika Mathias has written about Transcriptome.
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Connection Strength |
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0.844 |
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Kammers K, Taub MA, Rodriguez B, Yanek LR, Ruczinski I, Martin J, Kanchan K, Battle A, Cheng L, Wang ZZ, Johnson AD, Leek JT, Faraday N, Becker LC, Mathias RA. Transcriptional profile of platelets and iPSC-derived megakaryocytes from whole-genome and RNA sequencing. Blood. 2021 02 18; 137(7):959-968.
Score: 0.464
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Kammers K, Taub MA, Ruczinski I, Martin J, Yanek LR, Frazee A, Gao Y, Hoyle D, Faraday N, Becker DM, Cheng L, Wang ZZ, Leek JT, Becker LC, Mathias RA. Integrity of Induced Pluripotent Stem Cell (iPSC) Derived Megakaryocytes as Assessed by Genetic and Transcriptomic Analysis. PLoS One. 2017; 12(1):e0167794.
Score: 0.349
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Ngwa JS, Yanek LR, Kammers K, Kanchan K, Taub MA, Scharpf RB, Faraday N, Becker LC, Mathias RA, Ruczinski I. Secondary analyses for genome-wide association studies using expression quantitative trait loci. Genet Epidemiol. 2022 04; 46(3-4):170-181.
Score: 0.031
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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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