My lab works on a wide variety of problems at the interface of Statistics and Genetics. We often tackle problems where novel statistical methods are required, or can learn something new compared with existing approaches. Thus, much of our research involves developing new statistical methodology, many of which have a non-trivial computational component. People in my lab tend to come from a quantitative background (e.g., Statistics, Computer Science), with varying levels of formal or informal Biology training.
Dissecting tumor transcriptional heterogeneity from single-cell RNA-seq data by generalized binary covariance decomposition.
Dissecting tumor transcriptional heterogeneity from single-cell RNA-seq data by generalized binary covariance decomposition. Nat Genet. 2025 Jan; 57(1):263-273.
PMID: 39747597
Accelerated dimensionality reduction of single-cell RNA sequencing data with fastglmpca.
Accelerated dimensionality reduction of single-cell RNA sequencing data with fastglmpca. Bioinformatics. 2024 08 02; 40(8).
PMID: 39110511
Accelerated dimensionality reduction of single-cell RNA sequencing data with fastglmpca.
Accelerated dimensionality reduction of single-cell RNA sequencing data with fastglmpca. bioRxiv. 2024 Jul 04.
PMID: 38585920
Fast and flexible joint fine-mapping of multiple traits via the Sum of Single Effects model.
Fast and flexible joint fine-mapping of multiple traits via the Sum of Single Effects model. bioRxiv. 2024 Jun 18.
PMID: 37425935
Dissecting tumor transcriptional heterogeneity from single-cell RNA-seq data by generalized binary covariance decomposition.
Dissecting tumor transcriptional heterogeneity from single-cell RNA-seq data by generalized binary covariance decomposition. bioRxiv. 2024 May 26.
PMID: 37645713
Adjusting for genetic confounders in transcriptome-wide association studies improves discovery of risk genes of complex traits.
Adjusting for genetic confounders in transcriptome-wide association studies improves discovery of risk genes of complex traits. Nat Genet. 2024 Feb; 56(2):336-347.
PMID: 38279041
A pairwise cytokine code explains the organism-wide response to sepsis.
A pairwise cytokine code explains the organism-wide response to sepsis. Nat Immunol. 2024 Feb; 25(2):226-239.
PMID: 38191855
GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership.
GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership. Genome Biol. 2023 10 19; 24(1):236.
PMID: 37858253
GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership.
GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership. bioRxiv. 2023 Sep 14.
PMID: 36945441
DISSECTING TUMOR TRANSCRIPTIONAL HETEROGENEITY FROM SINGLE-CELL RNA-SEQ DATA BY GENERALIZED BINARY COVARIANCE DECOMPOSITION.
DISSECTING TUMOR TRANSCRIPTIONAL HETEROGENEITY FROM SINGLE-CELL RNA-SEQ DATA BY GENERALIZED BINARY COVARIANCE DECOMPOSITION. bioRxiv. 2023 Aug 17.
PMID: 37645713