Analysis and Reconstruction of the Hematopoietic Stem Cell Differentiation Tree: A Linear Programming Approach for Gene Selection

Analysis and Reconstruction of the Hematopoietic Stem Cell Differentiation Tree: A Linear Programming Approach for Gene Selection

Stem cells differentiate through an organized hierarchy of intermediate cell types to terminally differentiated cell types. This process is largely guided by master transcriptional regulators, but it also depends on the expression of many other types of genes. The discrete cell types in the differen...

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Bibliographic Details
Main Author: Ghadie, Mohamed A.
Other Authors: Perkins, Theodore
Language:en
Published: Université d'Ottawa / University of Ottawa 2015
Subjects:
Linear Programming
Distance Metric Learning
Machine Learning
Feature Selection
Tree Reconstruction
Hierarchical Clustering
Minimum Spanning Tree
Clustering
Optimization
Maximum Parsimony
Euclidean Distance
Weighted Euclidean
Stem Cell Differentiation
Hematopoiesis
Transcriptional Regulation
Transcription Factor
Gene Selection
Gene Expression
Microarray
Cell Type
Marker Gene
Functional Annotation
Random Forest
Biological Function
Regulation
Statistical Significance
Erythropoiesis
Natural Killer Cell
T Cell
B Cell
Granulocyte
Monocyte
Megakaryocyte
Minimization
Linear Constraint
Cell Lineage
Online Access:http://hdl.handle.net/10393/32048
http://dx.doi.org/10.20381/ruor-2753

Internet

http://hdl.handle.net/10393/32048
http://dx.doi.org/10.20381/ruor-2753

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