 Connection
Casey Greene to Precision Medicine
This is a "connection" page, showing publications Casey Greene has written about Precision Medicine.
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Connection Strength |
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0.605 |
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Greene CS, Himmelstein DS, Nelson HH, Kelsey KT, Williams SM, Andrew AS, Karagas MR, Moore JH. Enabling personal genomics with an explicit test of epistasis. Pac Symp Biocomput. 2010; 327-36.
Score: 0.238
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Wiley LK, Shortt JA, Roberts ER, Lowery J, Kudron E, Lin M, Mayer D, Wilson M, Brunetti TM, Chavan S, Phang TL, Pozdeyev N, Lesny J, Wicks SJ, Moore ET, Morgenstern JL, Roff AN, Shalowitz EL, Stewart A, Williams C, Edelmann MN, Hull M, Patton JT, Axell L, Ku L, Lee YM, Jirikowic J, Tanaka A, Todd E, White S, Peterson B, Hearst E, Zane R, Greene CS, Mathias R, Coors M, Taylor M, Ghosh D, Kahn MG, Brooks IM, Aquilante CL, Kao D, Rafaels N, Crooks KR, Hess S, Barnes KC, Gignoux CR. Building a vertically integrated genomic learning health system: The biobank at the Colorado Center for Personalized Medicine. Am J Hum Genet. 2024 01 04; 111(1):11-23.
Score: 0.157
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Allaway RJ, Fischer DA, de Abreu FB, Gardner TB, Gordon SR, Barth RJ, Colacchio TA, Wood M, Kacsoh BZ, Bouley SJ, Cui J, Hamilton J, Choi JA, Lange JT, Peterson JD, Padmanabhan V, Tomlinson CR, Tsongalis GJ, Suriawinata AA, Greene CS, Sanchez Y, Smith KD. Genomic characterization of patient-derived xenograft models established from fine needle aspirate biopsies of a primary pancreatic ductal adenocarcinoma and from patient-matched metastatic sites. Oncotarget. 2016 Mar 29; 7(13):17087-102.
Score: 0.092
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Gonzalez GH, Tahsin T, Goodale BC, Greene AC, Greene CS. Recent Advances and Emerging Applications in Text and Data Mining for Biomedical Discovery. Brief Bioinform. 2016 Jan; 17(1):33-42.
Score: 0.089
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Lin YT, Way GP, Barwick BG, Mariano MC, Marcoulis M, Ferguson ID, Driessen C, Boise LH, Greene CS, Wiita AP. Integrated phosphoproteomics and transcriptional classifiers reveal hidden RAS signaling dynamics in multiple myeloma. Blood Adv. 2019 11 12; 3(21):3214-3227.
Score: 0.029
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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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