M
Mark P. Styczynski
Researcher at Georgia Institute of Technology
Publications - 80
Citations - 1735
Mark P. Styczynski is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 18, co-authored 66 publications receiving 1304 citations. Previous affiliations of Mark P. Styczynski include Massachusetts Institute of Technology & Yerkes National Primate Research Center.
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Journal ArticleDOI
Systematic Identification of Conserved Metabolites in GC/MS Data for Metabolomics and Biomarker Discovery
Mark P. Styczynski,Joel F. Moxley,Lily V. Tong,Jason Walther,Kyle Jensen,Gregory Stephanopoulos +5 more
TL;DR: This work presents a method and software implementation that can systematically detect components that are conserved across samples without the need for a reference library or manual curation, and demonstrates an application with a brief analysis of the Escherichia coli metabolome.
Journal ArticleDOI
The Cancer Microbiome: Distinguishing Direct and Indirect Effects Requires a Systemic View
Joao B. Xavier,Vincent B. Young,Joseph D. Skufca,Fiona Ginty,Traci L. Testerman,Alexander T. Pearson,Paul Macklin,Amir Mitchell,Ilya Shmulevich,Lei Xie,J. Gregory Caporaso,Keith A. Crandall,Nicole L. Simone,Filipa Godoy-Vitorino,Timothy J. Griffin,Katrine Whiteson,Heather H. Gustafson,Daniel J. Slade,Thomas M. Schmidt,Marina Walther-Antonio,Tal Korem,Bobbie-Jo M. Webb-Robertson,Mark P. Styczynski,W. Evan Johnson,Christian Jobin,Jason M. Ridlon,Andrew Y. Koh,Michael Yu,Libusha Kelly,Jennifer A. Wargo +29 more
TL;DR: Understanding the role of host-associated microbial communities in cancer systems will require a multidisciplinary approach combining microbial ecology, immunology, cancer cell biology, and computational biology - a systems biology approach.
Journal ArticleDOI
BLOSUM62 miscalculations improve search performance.
Mark P. Styczynski,Mark P. Styczynski,Kyle Jensen,Kyle Jensen,Isidore Rigoutsos,Gregory Stephanopoulos +5 more
TL;DR: This paper presents a meta-analyses of the immune system’s response to chemotherapy and shows clear patterns of decline in the number of immune-related adverse events in patients treated with chemotherapy and in the general population.
Journal ArticleDOI
Applications of metabolomics in cancer research.
TL;DR: This review summarizes contributions that metabolomics has made in cancer research and presents the current challenges and potential future directions within the field.
Journal ArticleDOI
A generic motif discovery algorithm for sequential data
TL;DR: A generic motif discovery algorithm (Gemoda) for sequential data that can be applied to any dataset with a sequential character, including both categorical and real-valued data and deterministically discovers motifs that are maximal in composition and length.