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Items: 5

1.

Applying Deep Neural Network Analysis to High-Content Image-Based Assays.

Yang SJ, Lipnick SL, Makhortova NR, Venugopalan S, Fan M, Armstrong Z, Schlaeger TM, Deng L, Chung WK, O'Callaghan L, Geraschenko A, Whye D, Berndl M, Hazard J, Williams B, Narayanaswamy A, Ando DM, Nelson P, Rubin LL.

SLAS Discov. 2019 Sep;24(8):829-841. doi: 10.1177/2472555219857715. Epub 2019 Jul 8.

2.

High-quality MS/MS spectrum prediction for data-dependent and data-independent acquisition data analysis.

Tiwary S, Levy R, Gutenbrunner P, Salinas Soto F, Palaniappan KK, Deming L, Berndl M, Brant A, Cimermancic P, Cox J.

Nat Methods. 2019 Jun;16(6):519-525. doi: 10.1038/s41592-019-0427-6. Epub 2019 May 27.

PMID:
31133761
3.

In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images.

Christiansen EM, Yang SJ, Ando DM, Javaherian A, Skibinski G, Lipnick S, Mount E, O'Neil A, Shah K, Lee AK, Goyal P, Fedus W, Poplin R, Esteva A, Berndl M, Rubin LL, Nelson P, Finkbeiner S.

Cell. 2018 Apr 19;173(3):792-803.e19. doi: 10.1016/j.cell.2018.03.040. Epub 2018 Apr 12.

4.

Assessing microscope image focus quality with deep learning.

Yang SJ, Berndl M, Michael Ando D, Barch M, Narayanaswamy A, Christiansen E, Hoyer S, Roat C, Hung J, Rueden CT, Shankar A, Finkbeiner S, Nelson P.

BMC Bioinformatics. 2018 Mar 15;19(1):77. doi: 10.1186/s12859-018-2087-4.

5.

Molecular graph convolutions: moving beyond fingerprints.

Kearnes S, McCloskey K, Berndl M, Pande V, Riley P.

J Comput Aided Mol Des. 2016 Aug;30(8):595-608. doi: 10.1007/s10822-016-9938-8. Epub 2016 Aug 24.

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