S
Susanne Ragg
Researcher at Indiana University – Purdue University Indianapolis
Publications - 10
Citations - 536
Susanne Ragg is an academic researcher from Indiana University – Purdue University Indianapolis. The author has contributed to research in topics: Quantitative proteomics & CD34. The author has an hindex of 6, co-authored 10 publications receiving 500 citations. Previous affiliations of Susanne Ragg include Fred Hutchinson Cancer Research Center & Purdue University.
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Journal ArticleDOI
Detection and direct genomic sequencing of multiple rare unknown flanking DNA in highly complex samples.
Manfred Schmidt,C von Kalle,Gesa Hoffmann,Manuela Wissler,N. Lemke,A. Müßig,H. Glimm,H. Glimm,D. A. Williams,D. A. Williams,Susanne Ragg,C. U. Hesemann +11 more
TL;DR: EpTS/LM-PCR enables studies of retro- and lentiviral integration, viral vector tracking in gene therapy, insertional mutagenesis, transgene integration, and direct genomic sequencing that until now have been difficult or impossible to perform.
Journal ArticleDOI
Statistical protein quantification and significance analysis in label-free LC-MS experiments with complex designs.
Timothy Clough,Safia Thaminy,Safia Thaminy,Susanne Ragg,Ruedi Aebersold,Ruedi Aebersold,Olga Vitek +6 more
TL;DR: It is demonstrated, using as examples two experimental investigations with complex designs, that a simultaneous statistical modeling of all the relevant features and conditions yields a higher sensitivity of protein significance analysis and a higher accuracy of protein quantification as compared to commonly employed alternatives.
Journal ArticleDOI
Protein quantification in label-free LC-MS experiments.
TL;DR: It is demonstrated, using a spike-in and a clinical data set, that the proposed models improve the sensitivity and specificity of testing, improve the accuracy of patient-specific protein quantifications, and are more robust in the presence of missing data.
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Identification and quantification of metabolites in 1H NMR spectra by Bayesian model selection
TL;DR: A probabilistic approach Bayesian Quantification (BQuant) is introduced, for fully automated database-based identification and quantification of metabolites in local regions of (1)H NMR spectra.
Journal ArticleDOI
In vivo selection of human hematopoietic cells in a xenograft model using combined pharmacologic and genetic manipulations.
Karen E. Pollok,Jennifer R. Hartwell,Annemarije Braber,Ryan J. Cooper,Michael Jansen,Susanne Ragg,Barbara J. Bailey,Leonard C. Erickson,Emiko L. Kreklau,David A. Williams +9 more
TL;DR: Functionally, 6BG/BCNU-treated mice demonstrated multilineage differentiation in vivo, although some skewing in the maturation of myeloid and B cells was observed in mice transplanted with granulocyte-colony stimulating factor (G-CSF)-mobilized peripheral blood compared to umbilical cord blood.