Black Box FDR

Controlling the false discovery rate: a practical and powerful approach to multiple testing

Benjamini, Y. and Hochberg, Y · 1995

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Bcr-abl protein tyrosine kinase activity induces a loss of p53 protein that mediates a delay in myeloid differentiation

Pierce, A., Spooncer, E., Wooley, S., Dive, C., Francis, J. M., Miyan, J., Owen-Lynch, P. J., Dexter, T. M., and Whetton, A. D · 2000

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Identification of genes induced by brca1 in breast cancer cells

Atalay, A., Crook, T., Ozturk, M., and Yulug, I. G · 2002

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A nonparametric recursive estimator of the mixing distribution

Newton, M. A · 2002

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Illuminating the “black box”: a randomization approach for understanding variable contributions in artificial neural networks

Olden, J. D. and Jackson, D. A · 2002

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Microarrays, empirical bayes and the two-groups model

Efron, B · 2008

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Modelling and analysis of gene regulatory networks

Karlebach, G. and Shamir, R · 2008

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Consistency of a recursive estimate of mixing distributions

Tokdar, S., Martin, R., and Ghosh, J · 2009

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Atm and met kinases are synthetic lethal with nongenotoxic activation of p53

Sullivan, K. D., Padilla-Just, N., Henry, R. E., Porter, C. C., Kim, J., Tentler, J. J., Eckhardt, S. G., Tan, A. C., DeGregori, J., and Espinosa, J. M · 2012

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Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude

Tieleman, T. and Hinton, G · 2012

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Genomics of drug sensitivity in cancer (gdsc): a resource for therapeutic biomarker discovery in cancer cells

Yang, W., Soares, J., Greninger, P., Edelman, E. J., Lightfoot, H., Forbes, S., Bindal, N., Beare, D., Smith, J. A., Thompson, I. R., et al · 2012

Cited alongside, same era.

Human folliculin delays cell cycle progression through late s and g2/m-phases: effect of phosphorylation and tumor associated mutations

Laviolette, L. A., Wilson, J., Koller, J., Neil, C., Hulick, P., Rejtar, T., Karger, B., Teh, B. T., and Iliopoulos, O · 2013

Cited alongside, same era.

Bayesian inference for logistic models using pólya–gamma latent variables

Polson, N. G., Scott, J. G., and Windle, J · 2013

Cited alongside, same era.

Associations with growth factor genes (fgf1, fgf2, pdgfb, fgfr2, nrg2, egf, erbb2) with breast cancer risk and survival: the breast cancer health disparities study

Slattery, M. L., John, E. M., Stern, M. C., Herrick, J., Lundgreen, A., Giuliano, A. R., Hines, L., Baumgartner, K. B., Torres-Mejia, G., and Wolff, R. K · 2013

Cited alongside, same era.

The biology of cancer

Xgboost: A scalable tree boosting system

Chen, T. and Guestrin, C · 2016

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A landscape of pharmacogenomic interactions in cancer

Iorio, F., Knijnenburg, T. A., Vis, D. J., Bignell, G. R., Menden, M. P., Schubert, M., Aben, N., Gonçalves, E., Barthorpe, S., Lightfoot, H., et al · 2016

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C-kit and pdgfra gene mutations in triple negative breast cancer

Original

Zhu, Y., Wang, Y., Guan, B., Rao, Q., Wang, J., Ma, H., Zhang, Z., and Zhou, X · 2016

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Streaming weak submodularity: Interpreting neural networks on the fly

Elenberg, E., Dimakis, A. G., Feldman, M., and Karbasi, A · 2017

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Accumulation tests for fdr control in ordered hypothesis testing

Li, A. and Barber, R. F · 2017

Later among the works it cites.

A unified treatment of multiple testing with prior knowledge