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Academic Journal

mzStudio: A Dynamic Digital Canvas for User-Driven Interrogation of Mass Spectrometry Data

Subjects: bioinformatics software; mass spectrometry; quantification

  • Source: Ficarro, Scott B., William M. Alexander, and Jarrod A. Marto. 2017. “mzStudio: A Dynamic Digital Canvas for User-Driven Interrogation of Mass

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Academic Journal

Towards Lipidomics of Low-Abundant Species for Exploring Tumor Heterogeneity Guided by High-Resolution Mass Spectrometry Imaging

Subjects: MALDI mass spectrometry imaging; FTICR mass spectrometry; lipidomics

  • Source: Cimino, Jonathan, David Calligaris, Johann Far, Delphine Debois, Silvia Blacher, Nor Eddine Sounni, Agnès Noel, and Edwin De Pauw. 2013. “Towards Lipidomics of Low-Abundant Species for Exploring

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Academic Journal

Identifying Metabolic Subpopulations from Population Level Mass Spectrometry

Subjects: Biology and Life Sciences; Biochemistry; Metabolism

  • Source: DeGennaro, Christine M., Yonatan Savir, and Michael Springer. 2016. “Identifying Metabolic Subpopulations from Population Level Mass

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Academic Journal

Segmentation of Multi-Isotope Imaging Mass Spectrometry Data for Semi-Automatic Detection of Regions of Interest

Subjects: biology; biochemistry; metabolism

  • Source: Gormanns, Philipp, Stefan Reckow, J. Collin Poczatek, Christoph W. Turck, and Claude Lechene. 2012. Segmentation of multi-isotope imaging mass

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Academic Journal

Molecular imaging of drug transit through the blood-brain barrier with MALDI mass spectrometry imaging

  • Source: Liu, X., J. L. Ide, I. Norton, M. A. Marchionni, M. C. Ebling, L. Y. Wang, E. Davis, et al. 2013. “Molecular imaging of drug transit through the blood-brain barrier with MALDI

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Academic Journal

Mapping differential interactomes by affinity purification coupled with data independent mass spectrometry acquisition

  • Source: Lambert, J., G. Ivosev, A. L. Couzens, B. Larsen, M. Taipale, Z. Lin, Q. Zhong, et al. 2013. “Mapping differential interactomes by affinity purification coupled with data independent

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Academic Journal

Recursive SVM Feature Selection and Sample Classification for Mass-Spectrometry and Microarray Data

  • Source: Zhang, Xuegong, Xin Lu, Qian Shi, Xiu-qin Xu, Hon-chiu E. Leung,, Lyndsay N. Harris, James D. Iglehart, Alexander Miron, Jun S. Liu, and Wing H. Wong. 2006. Recursive SVM feature selection and sample

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