Heather Zhou

PhD Student in Statistics
heatherjzhou@ucla.edu

Heather is interested in developing statistical models and algorithms to answer biological questions. She is currently working on applying generalized R square on UK Biobank data to discover previously missed associations between phenotypes and SNP genotypes. She is also working with Yidan on two projects: bipartite tight spectral clustering (BiTSC) algorithm, and model-based bipartite clustering. Both projects aim to use gene expression data and gene orthology information to group genes from two different species into co-clusters, taking into account the existence of noise genes. Heather holds a B.A. from Swarthmore College where she double majored in mathematics and economics.

Publications:

64. Zhou, H.J., Li, L., Li, Y., Li, W., and Li, J.J. (2022). PCA outperforms popular hidden variable inference methods for QTL mapping. Genome Biology 23:210. [ Highlight talk at RECOMB 2023 ] [ SOFTWARE ] | [ PDF ]

48. Sun, Y.E.Zhou, H.J., and Li, J.J. (2021). Bipartite tight spectral clustering (BiTSC) algorithm for identifying conserved gene co-clusters in two species. Bioinformatics 37(9):1225–1233. [ SOFTWARE ]