Journal article
Bridging biological scales by state-space analysis and modeling using molecular, tissue cytometric and physiological data
Cytometry. Part A, v 69(3)
Mar 2006
PMID: 16479594
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Combining data streams across different levels of biological organization such as molecular, cellular, and physiological responses support to a system-wide view in biology. Recently, an unbiased analysis of tissues that provides data-rich descriptors of tissue architecture, cell types, and cell states has become available. As tissues are centrally located in the biological hierarchy, these advancements give rise to a new class of state variables that are critical to elucidate both underlying cellular, molecular and emergent physiological properties. Concepts to statistically identify, correlate, and model relationships across scales are introduced, which rely on a state-space matrix derived by multi-omics data aggregation.
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Details
- Title
- Bridging biological scales by state-space analysis and modeling using molecular, tissue cytometric and physiological data
- Creators
- Andres Kriete - Drexel University
- Publication Details
- Cytometry. Part A, v 69(3)
- Publisher
- Wiley
- Number of pages
- 4
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000236130200003
- Scopus ID
- 2-s2.0-33645925303
- Other Identifier
- 991019168699304721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Biochemical Research Methods
- Cell Biology