TREEGL: reverse engineering tree-evolving gene networks underlying developing biological lineages
Author(s) -
Ankur P. Parikh,
Wei Wu,
Ross E. Curtis,
Eric P. Xing
Publication year - 2011
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btr239
Subject(s) - tree (set theory) , computer science , biological network , lineage (genetic) , computational biology , biology , gene , gene regulatory network , similarity (geometry) , artificial intelligence , genetics , mathematics , gene expression , mathematical analysis , image (mathematics)
Estimating gene regulatory networks over biological lineages is central to a deeper understanding of how cells evolve during development and differentiation. However, one challenge in estimating such evolving networks is that their host cells not only contiguously evolve, but also branch over time. For example, a stem cell evolves into two more specialized daughter cells at each division, forming a tree of networks. Another example is in a laboratory setting: a biologist may apply several different drugs individually to malignant cancer cells to analyze the effects of each drug on the cells; the cells treated by one drug may not be intrinsically similar to those treated by another, but rather to the malignant cancer cells they were derived from.
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