QCBio Research Seminar: Leah Briscoe (Garud Lab)
ZOOM CA, United States“Background noise correction of microbiome data increases power to predict phenotype”
“Background noise correction of microbiome data increases power to predict phenotype”
“Identification of TBX15 as an adipose master trans regulator of abdominal obesity genes”
"mbImpute: an accurate and robust imputation method for microbiome data"
“Cell Segmentation with Spatial Transcriptomics and Expectation Maximization”
“Unifying susceptible-infected-recovered processes on networks”
"A framework for identifying representative and differential chromatin state annotations within and across groups of samples"
“Early detection of minimal residual disease and recurrence from circulating tumor DNA”
"Inferring disease transmission and immune parameters from sparse serological data"
“Bipartite Tight Spectral Clustering (BiTSC) Algorithm for Identifying Conserved Gene Co-clusters in Two Species”
“Modeling Epigenetic Age Under an Evolutionary Framework”