Connection
Jonathan Irish to Algorithms
This is a "connection" page, showing publications Jonathan Irish has written about Algorithms.
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Connection Strength |
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0.491 |
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Barone SM, Paul AG, Muehling LM, Lannigan JA, Kwok WW, Turner RB, Woodfolk JA, Irish JM. Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy. Elife. 2021 08 05; 10.
Score: 0.108
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Leelatian N, Sinnaeve J, Mistry AM, Barone SM, Brockman AA, Diggins KE, Greenplate AR, Weaver KD, Thompson RC, Chambless LB, Mobley BC, Ihrie RA, Irish JM. Unsupervised machine learning reveals risk stratifying glioblastoma tumor cells. Elife. 2020 06 23; 9.
Score: 0.100
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Ferrer-Font L, Mayer JU, Old S, Hermans IF, Irish J, Price KM. High-Dimensional Data Analysis Algorithms Yield Comparable Results for Mass Cytometry and Spectral Flow Cytometry Data. Cytometry A. 2020 08; 97(8):824-831.
Score: 0.099
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Eskander A, de Almeida JR, Irish JC. Acute Upper Airway Obstruction. N Engl J Med. 2019 Nov 14; 381(20):1940-1949.
Score: 0.096
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van Driel AA, Mureau MAM, Goldstein DP, Gilbert RW, Irish JC, Gullane PJ, Neligan PC, Hofer SOP. Aesthetic and oncologic outcome after microsurgical reconstruction of complex scalp and forehead defects after malignant tumor resection: an algorithm for treatment. Plast Reconstr Surg. 2010 Aug; 126(2):460-470.
Score: 0.050
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Pyne S, Lee SX, Wang K, Irish J, Tamayo P, Nazaire MD, Duong T, Ng SK, Hafler D, Levy R, Nolan GP, Mesirov J, McLachlan GJ. Joint modeling and registration of cell populations in cohorts of high-dimensional flow cytometric data. PLoS One. 2014; 9(7):e100334.
Score: 0.017
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Nithiananthan S, Brock KK, Irish JC, Siewerdsen JH. Deformable registration for intra-operative cone-beam CT guidance of head and neck surgery. Annu Int Conf IEEE Eng Med Biol Soc. 2008; 2008:3634-7.
Score: 0.011
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Hamming NM, Daly MJ, Irish JC, Siewerdsen JH. Effect of fiducial configuration on target registration error in intraoperative cone-beam CT guidance of head and neck surgery. Annu Int Conf IEEE Eng Med Biol Soc. 2008; 2008:3643-8.
Score: 0.011
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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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