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Connection

Liping Yu to Predictive Value of Tests

This is a "connection" page, showing publications Liping Yu has written about Predictive Value of Tests.

 
Connection Strength
 
 
 
0.192
 
  1. Yu L, Boulware DC, Beam CA, Hutton JC, Wenzlau JM, Greenbaum CJ, Bingley PJ, Krischer JP, Sosenko JM, Skyler JS, Eisenbarth GS, Mahon JL. Zinc transporter-8 autoantibodies improve prediction of type 1 diabetes in relatives positive for the standard biochemical autoantibodies. Diabetes Care. 2012 Jun; 35(6):1213-8.
    View in: PubMed
    Score: 0.071
  2. Yu L, Liu Y, Miao D, Wenzlau J, Davidson H, Hutton J, Eisenbarth GS. Triple chimeric islet autoantigen IA2-ZnT8WR to facilitate islet autoantibody determination. J Immunol Methods. 2010 Feb 28; 353(1-2):20-3.
    View in: PubMed
    Score: 0.060
  3. Miao D, Steck AK, Zhang L, Guyer KM, Jiang L, Armstrong T, Muller SM, Krischer J, Rewers M, Yu L. Electrochemiluminescence assays for insulin and glutamic acid decarboxylase autoantibodies improve prediction of type 1 diabetes risk. Diabetes Technol Ther. 2015 Feb; 17(2):119-27.
    View in: PubMed
    Score: 0.021
  4. Baker PR, Nanduri P, Gottlieb PA, Yu L, Klingensmith GJ, Eisenbarth GS, Barker JM. Predicting the onset of Addison's disease: ACTH, renin, cortisol and 21-hydroxylase autoantibodies. Clin Endocrinol (Oxf). 2012 May; 76(5):617-24.
    View in: PubMed
    Score: 0.018
  5. Aly TA, Ide A, Humphrey K, Barker JM, Steck A, Erlich HA, Yu L, Miao D, Redondo MJ, McFann K, Roberts CM, Babu SR, Norris JM, Eisenbarth GS, Rewers MJ. Genetic prediction of autoimmunity: initial oligogenic prediction of anti-islet autoimmunity amongst DR3/DR4-DQ8 relatives of patients with type 1A diabetes. J Autoimmun. 2005; 25 Suppl:40-5.
    View in: PubMed
    Score: 0.011
  6. Barker JM, Barriga KJ, Yu L, Miao D, Erlich HA, Norris JM, Eisenbarth GS, Rewers M. Prediction of autoantibody positivity and progression to type 1 diabetes: Diabetes Autoimmunity Study in the Young (DAISY). J Clin Endocrinol Metab. 2004 Aug; 89(8):3896-902.
    View in: PubMed
    Score: 0.010
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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