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Items: 1 to 20 of 190

2.

Building the next generation of quantitative biologists.

Pattin KA, Greene AC, Altman RB, Hunter LE, Ross DA, Foster JA, Moore JH.

Pac Symp Biocomput. 2014:417-21.

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Sparse generalized functional linear model for predicting remission status of depression patients.

Liu Y, Nie Z, Zhou J, Farnum M, Narayan VA, Wittenberg G, Ye J.

Pac Symp Biocomput. 2014:364-75.

8.

Towards pathway curation through literature mining--a case study using PharmGKB.

Ravikumar KE, Wagholikar KB, Liu H.

Pac Symp Biocomput. 2014:352-63.

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Combining heterogenous data for prediction of disease related and pharmacogenes.

Funk CS, Hunter LE, Cohen KB.

Pac Symp Biocomput. 2014:328-39.

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Bags of words models of epitope sets: HIV viral load regression with counting grids.

Perina A, Lovato P, Jojic N.

Pac Symp Biocomput. 2014:288-99.

14.

Variant priorization and analysis incorporating problematic regions of the genome.

Patwardhan A, Clark M, Morgan A, Chervitz S, Pratt M, Bartha G, Chandratillake G, Garcia S, Leng N, Chen R.

Pac Symp Biocomput. 2014:277-87.

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Utilization of an EMR-biorepository to identify the genetic predictors of calcineurin-inhibitor toxicity in heart transplant recipients.

Oetjens M, Bush WS, Birdwell KA, Dilks HH, Bowton EA, Denny JC, Wilke RA, Roden DM, Crawford DC.

Pac Symp Biocomput. 2014:253-64.

17.

Imputation-based assessment of next generation rare exome variant arrays.

Martin AR, Tse G, Bustamante CD, Kenny EE.

Pac Symp Biocomput. 2014:241-52.

18.

PATH-SCAN: a reporting tool for identifying clinically actionable variants.

Daneshjou R, Zappala Z, Kukurba K, Boyle SM, Ormond KE, Klein TE, Snyder M, Bustamante CD, Altman RB, Montgomery SB.

Pac Symp Biocomput. 2014:229-40.

19.

Personalized medicine: from genotypes and molecular phenotypes towards therapy- session introduction.

Listgarten J, Stegle O, Morris Q, Brenner SE, Parts L.

Pac Symp Biocomput. 2014;19:224-8. doi: 10.1142/9789814583220_0022. No abstract available.

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