Matthew N. McCall

Assistant Professor of Biostatistics and Biomedical Genetics

University of Rochester

Biography

Matthew McCall is an Assistant Professor at the University of Rochester Medical Center. He is currently developing methods to estimate gene regulatory networks from gene perturbation experiments, to address within-subject heterogeneity in genomic tumor biomarkers, to preprocess and analyze genomic data, and to examine the effect of cellular composition on tissue-level gene expression.

My complete curriculum vitae in pdf format is available here.

Interests

Statistical Genomics
Systems Biology
Bioinformatics

Education

PhD in Biostatistics, 2010

Johns Hopkins University
MHS in Bioinformatics, 2010

Johns Hopkins University
BS in Statistics, 2004

University of Michigan

Lab Members

Qingyan (Lilly) Xie

Postdoctoral Associate

Isar Nassiri

Postdoctoral Associate

Yun Zhang

Statistics PhD Student

Valeriia Sherina

Statistics PhD Student

David Burton

Statistics PhD Student

Zachary Brehm

Statistics PhD Student

Jeremiah Jones

Statistics PhD Student

Jonavelle Cuerdo

Data Science Undergraduate

Lauren Kemperman

Data Science Undergraduate

Benjamin Hsu

Statistics Undergraduate

Winslow Powers

BME Undergraduate

Qidi Yang

Biochemistry Undergraduate

Jeffrey Hrebenach

Data Science Undergraduate

Alida Mooney

Mathematics Undergraduate

Allison Maier

Biology Undergraduate

Lindsey Barden

Biostatistics Undergraduate

Scott Onestak

Data Science Undergraduate

Fatimar Umar

High School Student

Raymond Feng

High School Student

Selected Publications

Nassiri I, McCall MN (2018). Systematic exploration of cell morphological phenotypes associated with a transcriptomic query. Nucleic Acids Research.

Code Paper

McCall MN, Kim MS, Adil M, Patil AH, Lu Y, Mitchell CJ, Leal-Rojas P, Xu J, Kumar M, Dawson VL, Dawson TM, Baras AS, Rosenberg AZ, Arking DE, Burns KH, Pandey A, Halushka MK (2017). Toward the human cellular microRNAome. Genome Research.

Preprint Dataset Paper Research@URMC

McCall MN, Illei PB, Halushka MK (2016). Complex Sources of Variation in Tissue Expression Data: Analysis of the GTEx Lung Transcriptome. The American Journal of Human Genetics.

Paper

Xie QY, Almudevar A, Whitney-Miller CL, Barry CT, McCall MN (2016). A microRNA biomarker of hepatocellular carcinoma recurrence following liver transplantation accounting for within-patient heterogeneity. BMC Medical Genomics.

Paper

McCall MN, McMurray H, Land H, Almudevar A (2014). On Non-Detects in qPCR Data. Bioinformatics.

Code Paper GenomeWeb

McCall MN, Uppal K, Jaffee HA, Zilliox MJ, Irizarry RA (2011). The Gene Expression Barcode: leveraging public data repositories to begin cataloging the human and murine transcriptomes. Nucleic Acids Research.

Code Paper Website

McCall MN, Bolstad BM, Irizarry RA (2010). Frozen Robust Multi-Array Analysis (fRMA). Biostatistics.

Code Paper

Recent Publications

More Publications

Hill MA, Alexander WB, Guo B, Kato Y, Patra KC, O’Dell MR, McCall MN, Whitney-Miller CL, Bardeesy N, Hezel AF (2018). Kras and Tp53 mutations cause cholangiocyte- and hepatocyte-derived cholangiocarcinoma. Cancer Research.

Paper

Rosenberg AZ, Wright C, Fox-Talbot K, Rajpurohit A, Williams C, Porter C, Kovbasnjuk O, McCall MN, Shin JH, Halushka MK (2018). xMD-miRNA-seq to generate near in vivo miRNA expression estimates in colon epithelial cells. Scientific Reports.

Paper

Halushka MK, Fromm B, Peterson KJ, McCall MN (2018). Big Strides in Cellular MicroRNA Expression. Trends in Genetics.

Paper

Sherina V, McMurray HR, Powers W, Land H, Love TMT, McCall MN (2017). Statistical Approches to Decreasing the Discrepancy of Non-detects in qPCR Data. BioRxiv.

Preprint Code

Kemperman L, McCall MN (2017). miRcomp-Shiny: Interactive assessment of qPCR-based microRNA quantification and quality control algorithms. F1000Research.

Code Paper Software

Software

frma

Preprocessing and analysis for single microarrays and microarray batches.

frmaTools

Tools for advanced use of the frma package.

miRcomp

Based on a large miRNA dilution study, this package provides tools to read in the raw amplification data and use these data to assess the performance of methods that estimate expression from the amplification curves.

miRcompData

Raw amplification data from a large microRNA mixture / dilution study. These data are used by the miRcomp package to assess the performance of methods that estimate expression from the amplification curves.

microRNAome

This package provides a SummarizedExperiment object of read counts for microRNAs across tissues, cell-types, and cancer cell-lines.

nondetects

Methods to model and impute non-detects in the results of qPCR experiments.

spkTools

The package contains functions that can be used to compare expression measures on different array platforms.

ternarynet

A computational Bayesian approach to ternary gene regulatory network estimation from gene perturbation experiments.

News

2018-03-29 awards

Raymond Feng accepted to the Simons Summer Research Program

Raymond Feng has been accepted to the Simons Summer Research Program at Stony Brook University, which gives academically talented, motivated high school students the opportunity to engage in hands-on research in science, math or engineering at Stony Brook University. Simons Fellows work with distinguished faculty mentors, learn laboratory techniques and tools, become part of active research teams, and experience life at a research university. You can read more about this program here: https://www.

2018-01-24 awards

Valeriia Sherina receives William Jackson Hall Graduate Student Fellowship

Valeriia Sherina has been awarded the William Jackson Hall Graduate Student Fellowship. This merit-based fellowship recognizes Statistics doctoral students whose academic record reflects the major cornerstones of Jack Hall’s distinguished career. Recipients have distinguished themselves through outstanding performance in coursework and qualifying exams, excellence in their service as a graduate student teaching assistant, and timely completion of a dissertation containing work judged to be of particular significance in both its methodological contribution and potential impact in applications.

2017-12-04 awards

Valeriia Sherina wins an ENAR Distinguished Student Paper Award

Congratulations to Valeriia Sherina who won an ENAR Distinguished Student Paper Award for the 2018 ENAR Spring Meeting in Atlanta, GA. The award recognizes her paper entitled, Statistical Approaches to Decreasing the Discrepancy of Non-detects in qPCR Data. You can read the preprint here: https://www.biorxiv.org/content/early/2017/12/08/231621

2017-08-10 grants

R01 awarded to Marc Halushka

Dr. Marc Halushka’s R01, Fine Dissection of Atherosclerosis Microenvironment RNA Expression, has been funded! The proposed research represents the first in-depth analysis of expression in human coronary atherosclerotic plaques to uncover cell-specific gene expression differences. The McCall Lab has received a subcontract to analyze transcriptomic data from the cell types present in an atherosclerotic plaque and assess the ability of mRNA- and miRNA-seq to distinguish between cell types. We will estimate the cellular composition of ~800 GTEx coronary artery samples.