 Connection
Jay Hesselberth to Gene Expression Profiling
This is a "connection" page, showing publications Jay Hesselberth has written about Gene Expression Profiling.
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Connection Strength |
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0.204 |
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Riemondy KA, Ransom M, Alderman C, Gillen AE, Fu R, Finlay-Schultz J, Kirkpatrick GD, Di Paola J, Kabos P, Sartorius CA, Hesselberth JR. Recovery and analysis of transcriptome subsets from pooled single-cell RNA-seq libraries. Nucleic Acids Res. 2019 02 28; 47(4):e20.
Score: 0.092
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Puntambekar S, Hesselberth JR, Riemondy KA, Fu R. Cell-level metadata are indispensable for documenting single-cell sequencing datasets. PLoS Biol. 2021 05; 19(5):e3001077.
Score: 0.027
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Fu R, Gillen AE, Sheridan RM, Tian C, Daya M, Hao Y, Hesselberth JR, Riemondy KA. clustifyr: an R package for automated single-cell RNA sequencing cluster classification. F1000Res. 2020; 9:223.
Score: 0.025
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Riemondy KA, Gillen AE, White EA, Bogren LK, Hesselberth JR, Martin SL. Dynamic temperature-sensitive A-to-I RNA editing in the brain of a heterothermic mammal during hibernation. RNA. 2018 11; 24(11):1481-1495.
Score: 0.022
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Tuttle KD, Krovi SH, Zhang J, Bedel R, Harmacek L, Peterson LK, Dragone LL, Lefferts A, Halluszczak C, Riemondy K, Hesselberth JR, Rao A, O'Connor BP, Marrack P, Scott-Browne J, Gapin L. TCR signal strength controls thymic differentiation of iNKT cell subsets. Nat Commun. 2018 07 09; 9(1):2650.
Score: 0.022
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Pillai MM, Gillen AE, Yamamoto TM, Kline E, Brown J, Flory K, Hesselberth JR, Kabos P. HITS-CLIP reveals key regulators of nuclear receptor signaling in breast cancer. Breast Cancer Res Treat. 2014 Jul; 146(1):85-97.
Score: 0.017
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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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