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Kathryn Roeder
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2020 – today
- 2024
- [j8]Kevin Z. Lin, Yixuan Qiu, Kathryn Roeder:
eSVD-DE: cohort-wide differential expression in single-cell RNA-seq data using exponential-family embeddings. BMC Bioinform. 25(1): 113 (2024) - [i4]Jin-Hong Du
, Kathryn Roeder, Larry A. Wasserman:
Assumption-Lean Post-Integrated Inference with Negative Control Outcomes. CoRR abs/2410.04996 (2024) - 2023
- [i3]Jin-Hong Du
, Larry A. Wasserman, Kathryn Roeder:
Simultaneous inference for generalized linear models with unmeasured confounders. CoRR abs/2309.07261 (2023) - 2021
- [j7]Ronald Yurko
, Kathryn Roeder, Bernie Devlin, Max G'Sell:
An approach to gene-based testing accounting for dependence of tests among nearby genes. Briefings Bioinform. 22(6) (2021) - [j6]Jinjin Tian
, Jiebiao Wang
, Kathryn Roeder:
ESCO: single cell expression simulation incorporating gene co-expression. Bioinform. 37(16): 2374-2381 (2021) - [j5]Yixuan Qiu
, Jiebiao Wang
, Jing Lei
, Kathryn Roeder:
Identification of cell-type-specific marker genes from co-expression patterns in tissue samples. Bioinform. 37(19): 3228-3234 (2021) - 2020
- [j4]Jiebiao Wang
, Bernie Devlin, Kathryn Roeder:
Using multiple measurements of tissue to estimate subject- and cell-type-specific gene expression. Bioinform. 36(3): 782-788 (2020) - [i2]Tuo Zhao, Han Liu, Kathryn Roeder, John Lafferty, Larry A. Wasserman:
The huge Package for High-dimensional Undirected Graph Estimation in R. CoRR abs/2006.14781 (2020)
2010 – 2019
- 2019
- [i1]Yixuan Qiu, Jing Lei, Kathryn Roeder:
Gradient-based Sparse Principal Component Analysis with Extensions to Online Learning. CoRR abs/1911.08048 (2019) - 2015
- [j3]A. Ercüment Çiçek
, Kathryn Roeder
, Gultekin Özsoyoglu:
MIRA: mutual information-based reporter algorithm for metabolic networks. Bioinform. 31(7): 1160 (2015) - 2014
- [j2]A. Ercüment Çiçek
, Kathryn Roeder
, Gultekin Özsoyoglu:
MIRA: mutual information-based reporter algorithm for metabolic networks. Bioinform. 30(12): 175-184 (2014) - 2012
- [j1]Tuo Zhao, Han Liu, Kathryn Roeder, John D. Lafferty, Larry A. Wasserman:
The huge Package for High-dimensional Undirected Graph Estimation in R. J. Mach. Learn. Res. 13: 1059-1062 (2012) - [c2]Tuo Zhao, Kathryn Roeder, Han Liu:
Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation. NIPS 2012: 162-170 - 2010
- [c1]Han Liu, Kathryn Roeder, Larry A. Wasserman:
Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models. NIPS 2010: 1432-1440
Coauthor Index

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