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Items: 4

1.

Precision Lasso: Accounting for Correlations and Linear Dependencies in High-Dimensional Genomic Data.

Wang H, Lengerich BJ, Aragam B, Xing EP.

Bioinformatics. 2018 Sep 1. doi: 10.1093/bioinformatics/bty750. [Epub ahead of print]

PMID:
30184048
2.

Personalized regression enables sample-specific pan-cancer analysis.

Lengerich BJ, Aragam B, Xing EP.

Bioinformatics. 2018 Jul 1;34(13):i178-i186. doi: 10.1093/bioinformatics/bty250.

3.

Opportunities and obstacles for deep learning in biology and medicine.

Ching T, Himmelstein DS, Beaulieu-Jones BK, Kalinin AA, Do BT, Way GP, Ferrero E, Agapow PM, Zietz M, Hoffman MM, Xie W, Rosen GL, Lengerich BJ, Israeli J, Lanchantin J, Woloszynek S, Carpenter AE, Shrikumar A, Xu J, Cofer EM, Lavender CA, Turaga SC, Alexandari AM, Lu Z, Harris DJ, DeCaprio D, Qi Y, Kundaje A, Peng Y, Wiley LK, Segler MHS, Boca SM, Swamidass SJ, Huang A, Gitter A, Greene CS.

J R Soc Interface. 2018 Apr;15(141). pii: 20170387. doi: 10.1098/rsif.2017.0387. Review.

4.

Experimental and computational mutagenesis to investigate the positioning of a general base within an enzyme active site.

Schwans JP, Hanoian P, Lengerich BJ, Sunden F, Gonzalez A, Tsai Y, Hammes-Schiffer S, Herschlag D.

Biochemistry. 2014 Apr 22;53(15):2541-55. doi: 10.1021/bi401671t. Epub 2014 Apr 9.

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