User profiles for Heather J. Zhou
 | Heather J. ZhouGraduate student, UCLA Verified email at ucla.edu Cited by 51 |
[HTML][HTML] PCA outperforms popular hidden variable inference methods for molecular QTL mapping
Background Estimating and accounting for hidden variables is widely practiced as an important
step in molecular quantitative trait locus (molecular QTL, henceforth “QTL”) analysis for …
step in molecular quantitative trait locus (molecular QTL, henceforth “QTL”) analysis for …
Dissecting gene expression heterogeneity: generalized Pearson correlation squares and the K-lines clustering algorithm
Motivated by the pressing needs for dissecting heterogeneous relationships in gene expression
data, here we generalize the squared Pearson correlation to capture a mixture of linear …
data, here we generalize the squared Pearson correlation to capture a mixture of linear …
Bipartite tight spectral clustering (BiTSC) algorithm for identifying conserved gene co-clusters in two species
Motivation Gene clustering is a widely used technique that has enabled computational
prediction of unknown gene functions within a species. However, it remains a challenge to refine …
prediction of unknown gene functions within a species. However, it remains a challenge to refine …
[HTML][HTML] ClipperQTL: ultrafast and powerful eGene identification method
A central task in expression quantitative trait locus (eQTL) analysis is to identify cis-eGenes (henceforth
“eGenes”), ie, genes whose expression levels are regulated by at least one local …
“eGenes”), ie, genes whose expression levels are regulated by at least one local …
[BOOK][B] Capturing hidden covariates with linear factor models and other statistical methods in differential gene expression and expression quantitative trait locus …
HJ Zhou - 2022 - search.proquest.com
High-throughput technologies such as microarrays [1] and next-generation RNA-sequencing
(RNA-seq)[2] have enabled biologists to probe the expression of thousands of genes …
(RNA-seq)[2] have enabled biologists to probe the expression of thousands of genes …
PCA outperforms popular hidden variable inference methods for QTL mapping
Estimating and accounting for hidden variables is widely practiced as an important step in
quantitative trait locus (QTL) analysis for improving the power of QTL identification. Here we …
quantitative trait locus (QTL) analysis for improving the power of QTL identification. Here we …
Statistical methods for molecular quantitative trait locus analysis
HJ Zhou - 2023 - escholarship.org
Molecular quantitative trait locus (molecular QTL, henceforth "QTL") analysis investigates
the relationship between genetic variants and molecular traits, helping explain findings in …
the relationship between genetic variants and molecular traits, helping explain findings in …
Energy intake and prostate tumor growth, angiogenesis, and vascular endothelial growth factor expression
…, AV Sotnikov, HJ Mangian, JR Zhou… - Journal of the …, 1999 - academic.oup.com
BACKGROUND: A sedentary lifestyle coupled with excessive energy intake is speculated to
be a factor associated with increased incidence of prostate cancer. We have investigated …
be a factor associated with increased incidence of prostate cancer. We have investigated …
Towards verification of timed non-repudiation protocols
… Fairness of non-repudiation is naturally expressed as a liveness specification, as in [Sch98];
to formalize this idea, we apply the process algebra CSP to analyze the well-known Zhou-…
to formalize this idea, we apply the process algebra CSP to analyze the well-known Zhou-…
Stitchr: stitching coding TCR nucleotide sequences from V/J/CDR3 information
JM Heather, MJ Spindler, MH Alonso… - Nucleic acids …, 2022 - academic.oup.com
The study and manipulation of T cell receptors (TCRs) is central to multiple fields across
basic and translational immunology research. Produced by V(D)J recombination, TCRs are …
basic and translational immunology research. Produced by V(D)J recombination, TCRs are …