Multiresolution categorical regression for interpretable cell‐type annotation von Molstad, Aaron J., Motwani, Keshav

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A Likelihood-Based Approach for Multivariate Categorical Response Regression in High Dimensions von Molstad, Aaron J., Rothman, Adam J.

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Dimension reduction for integrative survival analysis von Molstad, Aaron J, Patra, Rohit K

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Scalable algorithms for semiparametric accelerated failure time models in high dimensions von Suder, Piotr M., Molstad, Aaron J.

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Mixed‐type multivariate response regression with covariance estimation von Ekvall, Karl Oskar, Molstad, Aaron J.

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Gaussian process regression for survival time prediction with genome-wide gene expression von Molstad, Aaron J, Hsu, Li, Sun, Wei

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Heterogeneity-aware integrative regression for ancestry-specific association studies von Molstad, Aaron J, Cai, Yanwei, Reiner, Alexander P, Kooperberg, Charles, Sun, Wei, Hsu, Li

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A COVARIANCE-ENHANCED APPROACH TO MULTI-TISSUE JOINT EQTL MAPPING WITH APPLICATION TO TRANSCRIPTOME-WIDE ASSOCIATION STUDIES von Molstad, Aaron J, Sun, Wei, Hsu, Li

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Shrinking characteristics of precision matrix estimators von MOLSTAD, AARON J., ROTHMAN, ADAM J.

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Binned multinomial logistic regression for integrative cell-type annotation von Motwani, Keshav, Bacher, Rhonda, Molstad, Aaron J.

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A covariance-enhanced approach to multitissue joint eQTL mapping with application to transcriptome-wide association studies von Molstad, Aaron J., Sun, Wei, Hsu, Li

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Indirect multivariate response linear regression von MOLSTAD, AARON J., ROTHMAN, ADAM J.

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Asymptotic properties of concave L1-norm group penalties von Sherwood, Ben, Molstad, Aaron J., Singha, Sumanta

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Asymptotic properties of concave L 1 -norm group penalties von Sherwood, Ben, Molstad, Aaron J., Singha, Sumanta

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A convex-nonconvex strategy for grouped variable selection von Liu, Xiaoqian, Molstad, Aaron J., Chi, Eric C.

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Direct covariance matrix estimation with compositional data von Molstad, Aaron J., Ekvall, Karl Oskar, Suder, Piotr M.

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Multiresolution categorical regression for interpretable cell type annotation von Molstad, Aaron J, Motwani, Keshav

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Conditional probability tensor decompositions for multivariate categorical response regression von Molstad, Aaron J, Zhang, Xin

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Subspace decompositions for association structure learning in multivariate categorical response regression von Zhao, Hongru, Molstad, Aaron J, Rothman, Adam J

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Smooth and shape-constrained quantile distributed lag models von Jin, Yisen, Molstad, Aaron J, Wilson, Ander, Antonelli, Joseph

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