Author

D. Koslicki

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 2 Ecology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Assay:metagenomics· 1

Frequent Co-Authors

A. Ori· 1 shared C. Lomen-Hoerth· 1 shared E. Eskin· 1 shared G. Jospin· 1 shared H. T. Yang· 1 shared J. McClelland· 1 shared L. M Olde Loohuis· 1 shared M. Novak· 1 shared

Activity by Year

2016-2016 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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1 shared paperMicrobiology

A. Ori

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

EMDUnifrac: Exact linear time computation of the Unifrac metric and identification of differentially abundant organisms

J. McClelland, D. Koslicki

EMDUnifrac computes the Unifrac metric in linear time and identifies differentially abundant organisms, explaining why communities differ.

bioRxiv · Nov 14, 2016Microbiology

Exact probabilities for the indeterminacy of complex networks as perceived through press perturbations

D. Koslicki, M. Novak

The paper derives exact formulas to predict how uncertain complex networks respond to perturbations, offering tools to assess prediction reliability and error sensitivity.

bioRxiv · Oct 25, 2016Ecology

Transcriptome analysis in whole blood reveals increased microbial diversity in schizophrenia

L. M Olde Loohuis, S. Mangul, A. Ori, G. Jospin, D. Koslicki, H. T. Yang, T. Wu, M. P. Boks, C. Lomen-Hoerth, M. Wiedau-Pazos, R. Cantor, W. M de Vos, R. S Kahn, E. Eskin, R. A. Ophoff

The paper analyzes the transcriptome of whole blood to find increased microbial diversity in schizophrenia patients compared to controls and other neurological disorders.

bioRxiv · Jun 7, 2016Microbiology