 Connection
Steven Rosenberg to High-Throughput Nucleotide Sequencing
This is a "connection" page, showing publications Steven Rosenberg has written about High-Throughput Nucleotide Sequencing.
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Connection Strength |
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1.240 |
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Lu YC, Zheng Z, Lowery FJ, Gartner JJ, Prickett TD, Robbins PF, Rosenberg SA. Direct identification of neoantigen-specific TCRs from tumor specimens by high-throughput single-cell sequencing. J Immunother Cancer. 2021 07; 9(7).
Score: 0.549
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Lu YC, Zheng Z, Robbins PF, Tran E, Prickett TD, Gartner JJ, Li YF, Ray S, Franco Z, Bliskovsky V, Fitzgerald PC, Rosenberg SA. An Efficient Single-Cell RNA-Seq Approach to Identify Neoantigen-Specific T Cell Receptors. Mol Ther. 2018 02 07; 26(2):379-389.
Score: 0.426
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Parkhurst M, Gros A, Pasetto A, Prickett T, Crystal JS, Robbins P, Rosenberg SA. Isolation of T-Cell Receptors Specifically Reactive with Mutated Tumor-Associated Antigens from Tumor-Infiltrating Lymphocytes Based on CD137 Expression. Clin Cancer Res. 2017 May 15; 23(10):2491-2505.
Score: 0.100
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Deniger DC, Kwong ML, Pasetto A, Dudley ME, Wunderlich JR, Langhan MM, Lee CR, Rosenberg SA. A Pilot Trial of the Combination of Vemurafenib with Adoptive Cell Therapy in Patients with Metastatic Melanoma. Clin Cancer Res. 2017 Jan 15; 23(2):351-362.
Score: 0.099
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Leko V, Groh E, Levi ST, Copeland AR, White BS, Gasmi B, Li Y, Hill V, Gurusamy D, Levin N, Kim SP, Sindiri S, Gartner JJ, Prickett TD, Parkhust M, Lowery FJ, Goff SL, Rosenberg SA, Robbins P. Utilization of primary tumor samples for cancer neoantigen discovery. J Immunother Cancer. 2025 Jan 11; 13(1).
Score: 0.044
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Arafeh R, Qutob N, Emmanuel R, Keren-Paz A, Madore J, Elkahloun A, Wilmott JS, Gartner JJ, Di Pizio A, Winograd-Katz S, Sindiri S, Rotkopf R, Dutton-Regester K, Johansson P, Pritchard AL, Waddell N, Hill VK, Lin JC, Hevroni Y, Rosenberg SA, Khan J, Ben-Dor S, Niv MY, Ulitsky I, Mann GJ, Scolyer RA, Hayward NK, Samuels Y. Recurrent inactivating RASA2 mutations in melanoma. Nat Genet. 2015 Dec; 47(12):1408-10.
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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