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Results: 8

1.

Epigenome data release: a participant-centered approach to privacy protection.

Dyke SO, Cheung WA, Joly Y, Ammerpohl O, Lutsik P, Rothstein MA, Caron M, Busche S, Bourque G, Rönnblom L, Flicek P, Beck S, Hirst M, Stunnenberg H, Siebert R, Walter J, Pastinen T.

Genome Biol. 2015 Jul 17;16:142. doi: 10.1186/s13059-015-0723-0.

2.

Risk of re-identification of epigenetic methylation data: a more nuanced response is needed.

Joly Y, Dyke SO, Cheung WA, Rothstein MA, Pastinen T.

Clin Epigenetics. 2015 Apr 18;7(1):45. doi: 10.1186/s13148-015-0079-z. eCollection 2015.

3.

Compensating for literature annotation bias when predicting novel drug-disease relationships through Medical Subject Heading Over-representation Profile (MeSHOP) similarity.

Cheung WA, Ouellette BF, Wasserman WW.

BMC Med Genomics. 2013;6 Suppl 2:S3. doi: 10.1186/1755-8794-6-S2-S3. Epub 2013 May 7.

4.

Inferring novel gene-disease associations using Medical Subject Heading Over-representation Profiles.

Cheung WA, Ouellette BF, Wasserman WW.

Genome Med. 2012 Sep 28;4(9):75. doi: 10.1186/gm376. eCollection 2012.

5.

Quantitative biomedical annotation using medical subject heading over-representation profiles (MeSHOPs).

Cheung WA, Ouellette BF, Wasserman WW.

BMC Bioinformatics. 2012 Sep 27;13:249. doi: 10.1186/1471-2105-13-249.

6.

The transcription factor encyclopedia.

Yusuf D, Butland SL, Swanson MI, Bolotin E, Ticoll A, Cheung WA, Zhang XY, Dickman CT, Fulton DL, Lim JS, Schnabl JM, Ramos OH, Vasseur-Cognet M, de Leeuw CN, Simpson EM, Ryffel GU, Lam EW, Kist R, Wilson MS, Marco-Ferreres R, Brosens JJ, Beccari LL, Bovolenta P, Benayoun BA, Monteiro LJ, Schwenen HD, Grontved L, Wederell E, Mandrup S, Veitia RA, Chakravarthy H, Hoodless PA, Mancarelli MM, Torbett BE, Banham AH, Reddy SP, Cullum RL, Liedtke M, Tschan MP, Vaz M, Rizzino A, Zannini M, Frietze S, Farnham PJ, Eijkelenboom A, Brown PJ, Laperrière D, Leprince D, de Cristofaro T, Prince KL, Putker M, del Peso L, Camenisch G, Wenger RH, Mikula M, Rozendaal M, Mader S, Ostrowski J, Rhodes SJ, Van Rechem C, Boulay G, Olechnowicz SW, Breslin MB, Lan MS, Nanan KK, Wegner M, Hou J, Mullen RD, Colvin SC, Noy PJ, Webb CF, Witek ME, Ferrell S, Daniel JM, Park J, Waldman SA, Peet DJ, Taggart M, Jayaraman PS, Karrich JJ, Blom B, Vesuna F, O'Geen H, Sun Y, Gronostajski RM, Woodcroft MW, Hough MR, Chen E, Europe-Finner GN, Karolczak-Bayatti M, Bailey J, Hankinson O, Raman V, LeBrun DP, Biswal S, Harvey CJ, DeBruyne JP, Hogenesch JB, Hevner RF, Héligon C, Luo XM, Blank MC, Millen KJ, Sharlin DS, Forrest D, Dahlman-Wright K, Zhao C, Mishima Y, Sinha S, Chakrabarti R, Portales-Casamar E, Sladek FM, Bradley PH, Wasserman WW.

Genome Biol. 2012;13(3):R24. doi: 10.1186/gb-2012-13-3-r24.

7.

Optimization of antibacterial peptides by genetic algorithms and cheminformatics.

Fjell CD, Jenssen H, Cheung WA, Hancock RE, Cherkasov A.

Chem Biol Drug Des. 2011 Jan;77(1):48-56. doi: 10.1111/j.1747-0285.2010.01044.x. Epub 2010 Oct 13.

PMID:
20942839
8.

Identification of novel antibacterial peptides by chemoinformatics and machine learning.

Fjell CD, Jenssen H, Hilpert K, Cheung WA, Panté N, Hancock RE, Cherkasov A.

J Med Chem. 2009 Apr 9;52(7):2006-15. doi: 10.1021/jm8015365.

PMID:
19296598
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