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Items: 5

1.

Estimating Prevalence, Demographics, and Costs of ME/CFS Using Large Scale Medical Claims Data and Machine Learning.

Valdez AR, Hancock EE, Adebayo S, Kiernicki DJ, Proskauer D, Attewell JR, Bateman L, DeMaria A Jr, Lapp CW, Rowe PC, Proskauer C.

Front Pediatr. 2019 Jan 8;6:412. doi: 10.3389/fped.2018.00412. eCollection 2018.

2.

HE4 transcription- and splice variants-specific expression in endometrial cancer and correlation with patient survival.

Jiang SW, Chen H, Dowdy S, Fu A, Attewell J, Kalogera E, Drapkin R, Podratz K, Broaddus R, Li J.

Int J Mol Sci. 2013 Nov 18;14(11):22655-77. doi: 10.3390/ijms141122655.

3.

Bioinformatics methods for prioritizing serum biomarker candidates.

Klee EW, Finlay JA, McDonald C, Attewell JR, Hebrink D, Dyer R, Love B, Vasmatzis G, Li TM, Beechem JM, Klee GG.

Clin Chem. 2006 Nov;52(11):2162-4. No abstract available.

4.

A systematic method for selection of promising serum protein biomarkers to improve prostate cancer (PCa1) detection.

Finlay JA, Klee EW, McDonald C, Attewell JR, Hebrink D, Dyer R, Love B, Vasmatzis G, Li TM, Beechem JM, Klee GG.

Clin Chem. 2006 Nov;52(11):2159-62. No abstract available.

5.

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