Statistics

  • A. Chakraborty* , J. Zhang*, and Eugene Katsevich. Doubly robust and computationally efficient high-dimensional variable selection. Preprint. (paper, code)
  • Z. Niu, J. Ray Choudhury, E. Katsevich. Computationally efficient and statistically accurate conditional independence testing with spaCRT. Preprint. (paper, code)
  • Z. Niu, J. Ray Choudhury, E. Katsevich. The saddlepoint approximation for averages of conditionally independent random variables. Preprint. (paper)
  • Z. Niu*, A. Chakraborty*, O. Dukes, E. Katsevich. Reconciling model-X and doubly robust approaches to conditional independence testing. Annals of Statistics, 2024. (paper, code)
  • T. Barry, E. Katsevich, K. Roeder. Exponential family measurement error models for single-cell CRISPR screens. Biostatistics, 2024. (paper, code, results)
  • J. Tian, X. Chen, E. Katsevich, J. Goeman, A. Ramdas. Large-scale simultaneous inference under dependence. Scandinavian Journal of Statistics, 2022. (paper)
  • E. Katsevich, A. Ramdas. On the power of conditional independence testing under model-X. Electronic Journal of Statistics, 2022. (paper, slides)
  • M. Liu, E. Katsevich, L. Janson, A. Ramdas. Fast and Powerful Conditional Randomization Testing via Distillation. Biometrika, 2022. (paper, code)
  • E. Katsevich, C. Sabatti, M. Bogomolov. Filtering the rejection set while preserving false discovery rate control. Journal of the American Statistical Association, 2021. (paper, code, slides)
  • E. Katsevich, A. Ramdas. Simultaneous high-probability bounds on the FDP in structured, regression and online settings. Annals of Statistics, 2020. (paper, code, slides)
  • E. Katsevich, C. Sabatti. Multilayer Knockoff Filter: Controlled variable selection at multiple resolutions. Annals of Applied Statistics, 2019. (paper, code, slides)

Genetics and genomics

  • P. J. Law, J. Smith, J. Vijayakrishnan, T. Barry, D. Chubb, B. Kinnersley, M. Mandelia, A. J. Cornish, E. Katsevich, R. S. Houlston. Identification of enhancer-gene regulatory interactions in colorectal cancer identified through genome-wide CRISPRi perturbations. Preprint.
  • M. Conery, J. A. Pippin, Y. Wagley, K. Trang, M. C. Pahl, D. A. Villani, L. J. Favazzo, C. L. Ackert-Bicknell, M. J. Zuscik, E. Katsevich, A. D. Wells, B. S. Zemel, B. F. Voight, K. D. Hankenson, A. Chesi, S. F. A. Grant. Bioinformatics and single-cell CRISPRi screen reveal effector genes and implicate multi-tissue etiology for bone mineral density. Preprint. (paper)
  • R. E. Yan, A. Corman, Z. Z. Gajic, R. Sam, M. Farid, I. Raimondi, S. Ganesan, E. Katsevich, N. Dahmane, J. P. Greenfield, and N. E. Sanjana. Pooled CRISPR screens with joint single-cell chromatin accessibility and transcriptome profiling. Nature Biotechnology, to appear, 2024+.
  • T. Barry, K. Mason, K. Roeder, E. Katsevich. Robust differential expression testing for single-cell CRISPR screens at low multiplicity of infection. Genome Biology, 2024.(paper, software, reproduction code)
  • J. A. Morris, Z. Daniloski, J. Domingo, T. Barry, M. Ziosi, D. A. Glinos, S. Hao, E. Mimitou, P. Smibert, K. Roeder, E. Katsevich, T. Lappalainen, N. E. Sanjana. Discovery of target genes and pathways of blood trait loci using pooled CRISPR screens and single cell RNA sequencing. Science, 2023. (paper)
  • T. Barry, X. Wang, J. A. Morris, K. Roeder, E. Katsevich. SCEPTRE improves calibration and sensitivity in single-cell CRISPR screen analysis. Genome Biology, 2021. (paper, slides, software, results, reproduction code)
  • M. Sesia, E. Katsevich, S. Bates, E. Candes, C. Sabatti. Multi-resolution localization of causal variants across the genome. Nature Communications, 2020. (paper, website)
  • J. Zhu, Q. Zhao, E. Katsevich, C. Sabatti. Exploratory Gene Ontology Analysis with Interactive Visualization. Nature Scientific Reports, 2019. (paper, website)