Last updated: 2019-02-11

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• ✔ R Markdown file: up-to-date

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• ✔ Repository version: 5e22c9b

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Expand here to see past versions:

File	Version	Author	Date	Message
html	7af222f	courtneyschiffman	2019-02-05	Build site.
Rmd	c77dbd3	courtneyschiffman	2019-02-05	wflow_publish(“analysis/publications.Rmd”)
html	b4202aa	courtneyschiffman	2018-12-13	Build site.
Rmd	d9439d5	courtneyschiffman	2018-12-13	wflow_publish(c(“analysis/about.Rmd”, “analysis/publications.Rmd”,
html	d0ccc3c	courtneyschiffman	2018-12-13	Build site.
html	b4fb801	courtneyschiffman	2018-12-13	Build site.
Rmd	8886030	courtneyschiffman	2018-12-13	wflow_publish(c(“analysis/cv.Rmd”, “analysis/”))

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Kang, et al., “Electrophoretic cytopathology resolves ERB2 forms with single-cell”, NPJ Precision Oncology, 2018.

Perttula, et al., “Lipidomic features associated with colorectal cancer in a prospective cohort”, BMC Cancer, 2018.

Petrick, et al., “An untargeted metabolomics method for archived newborn dried blood spots in epidemiological studies”, Metabolomics, 2017.

Petrick, et al., “Metabolomics of Neonatal Blood Spots Reveals Lipid Associations with Pediatric Acute Lymphoblastic Leukemia,” Cancer Letters, 2019. Under review.

Schiffman et al., “SIDEseq: a cell similarity measure defined by shared identified differentially expressed genes for single-cell RNA-sequencing data”, Statistics in Biosciences, 2017.

Schiffman et al., “Identification of gene expression predictors of occupational benzene exposure,” PLOS ONE, 2018.

Schiffman et al., “Data-adaptive filtering of untargeted LC-MS metabolomics data.,” BMC Bioinformatics, 2019. under review.

Yano, et al., “Untargeted Adductomics of Cys34 Modification to Human Serum Albumin in Newborn Dried Blood Spots,” ABC, 2019.

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This reproducible R Markdown analysis was created with workflowr 1.1.1

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