Area of research
Molecular Biology · Information Systems and Management
Research interest
Research interests include Gene expression and cancer classification, Scientific Computing and Data Management, Molecular Biology Techniques and Applications, and Bioinformatics and Genomic Networks.
Inverting the model of genomics data sharing with the NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space
recount3: summaries and queries for large-scale RNA-seq expression and splicing
Transparency and reproducibility in artificial intelligence
Addressing confounding artifacts in reconstruction of gene co-expression networks
Developmental and genetic regulation of the human cortex transcriptome illuminate schizophrenia pathogenesis
Reproducible RNA-seq analysis using recount2
qSVA framework for RNA quality correction in differential expression analysis
Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown
What Should Researchers Expect When They Replicate Studies? A Statistical View of Replicability in Psychological Science
Human splicing diversity and the extent of unannotated splice junctions across human RNA-seq samples on the Sequence Read Archive
BatchQC: interactive software for evaluating sample and batch effects in genomic data
Rail-RNA: scalable analysis of RNA-seq splicing and coverage
Ballgown bridges the gap between transcriptome assembly and expression analysis
<i>Polyester</i> : simulating RNA-seq datasets with differential transcript expression
Statistics: P values are just the tip of the iceberg
Reproducible research can still be wrong: Adopting a prevention approach
Evolution of cellular morpho-phenotypes in cancer metastasis
Test set bias affects reproducibility of gene signatures
svaseq: removing batch effects and other unwanted noise from sequencing data
Developmental regulation of human cortex transcription and its clinical relevance at single base resolution
Preserving biological heterogeneity with a permuted surrogate variable analysis for genomics batch correction
An estimate of the science-wise false discovery rate and application to the top medical literature
The <tt>sva</tt> package for removing batch effects and other unwanted variation in high-throughput experiments
Bump hunting to identify differentially methylated regions in epigenetic epidemiology studies