Analysis of multiplex gene expression maps obtained by voxelation
Explore this paper's citation graph
Summary
The experimental results confirm the hypothesis that genes with similar gene expression maps might have similar gene functions, and can potentially be used to predict gene functions and provide helpful suggestions to biologists.
- Type
- article
- Published
- 2008-11-03
- Cited by
- 4,177
- References
- 15
- Access
- Open access
- OpenAlex
- https://openalex.org/W2054093087
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:214625972
Keywords
Gene, Gene expression, Cluster analysis, Similarity (geometry), Computational biology
References
- An Information-Theoretic Definition of Similarity
- Algorithms for Clustering Data
- A Friendly Guide To Wavelets
- High density synthetic oligonucleotide arrays
- Neurogenomics: at the intersection of neurobiology and genome sciences
- Gene expression tomography.
- Some methods for classification and analysis of multivariate observations
- Voxelation and gene expression tomography for the acquisition of 3-D gene expression maps in the brain.
- High-resolution voxelation mapping of human and rodent brain gene expression.
- High-throughput imaging of brain gene expression.
- Cluster analysis and display of genome-wide expression patterns.
- A genome-scale map of expression for a mouse brain section obtained using voxelation.
- [Serial analysis of gene expression].
- Clustering Algorithms
Cited by
- Bone Density and Microarchitecture: Relationship Between Hand, Peripheral, and Axial Skeletal Sites Assessed by HR-pQCT and DXA in Rheumatoid Arthritis
- Independent measurement of femoral cortical thickness and cortical bone density using clinical CT
- Availability and distribution of human resources for provision of comprehensive emergency obstetric and newborn care in Afghanistan: a cross-sectional study
- CmMDb: A Versatile Database for Cucumis melo Microsatellite Markers and Other Horticulture Crop Research
- Quantitative in vivo micro-computed tomography for assessment of age-dependent changes in murine whole-body composition
- Dyadic Behavior Analysis in Depression Severity Assessment Interviews
- Lipid signatures reflect the function of the murine primary placentation
- Utility of micro-CT for dating post-cranial fractures of known post-traumatic ages through 3D measurements of the trabecular inner morphology
- Théorèmes de de Finetti, limites de champ moyen et condensation de Bose-Einstein
- About Big Data and its Challenges and Benefits in Manufacturing
- Rejection of disturbances in multivariable motion systems
- Teaching Calculus using Dynamic Geometric Tools
- Variational inference in graphical models: The view from the marginal polytope
- Ground State of the Nelson Model(Recent Developments in Linear Operator Theory and its Applications)
- The Hardy inequality and the heat equation with magnetic field in any dimension
- L'ion hydrogénoïde confiné en électrodynamique quantique non relativiste. Effet Lamb-Dicke
- Reconstruction of an Expert's Decision Making Expertise in Concrete Dispatching by Machine Learning
- La théorie de Gross-Pitaevskii pour un condensat de Bose-Einstein en rotation : vortex et transitions de phase
- Glottal-based analysis of the lombard effect
- Qualitative Properties Of Solutions Of Fully Nonlinear Equations And Overdetermined Problems
Related papers
- Clustering - What Both Theoreticians and Practitioners Are Doing Wrong
- Classifying infants in the Strange Situation with three-way mixture method of clustering.
- Performance of Similarity Measures in 2D Fragment-Based Similarity Searching: Comparison of Structural Descriptors and Similarity Coefficients
- A new concept of higher-order similarity and the role of distance/similarity measures in local classification methods
- An Assessment Method of the Data Similarity Considering the Shape Differences of Objects
- Symmetrical 2DLDA Using Different Measures in Face Recognition
- Emulating human perception of motion similarity
- A Feature Selection Method in Pattern Recognition
- S2DPCA with DM and FM in Face Recognition