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CellNet: Network Biology Applied to Stem Cell Engineering A network biology platform, CellNet, enables a more accurate assessment of the fidelity of cellular engineering (e g , directed differentiation and directed conversion) and provides strategies for improving cell derivations
Assessing engineered cells using CellNet and RNA-Seq - PMC CellNet is a computational platform designed to assess cell populations engineered via either directed differentiation of pluripotent stem cells or via direct conversion, and to suggest specific hypotheses to improve cell fate engineering protocols
CellNet: network biology applied to stem cell engineering CellNet provides a platform for quantifying how closely engineered cell populations resemble their target cell type and a rational strategy to guide enhanced cellular engineering
Resources | Cahan Lab We designed a network biology computational method (CellNet) to assess the fidelity of cell fate engineering and to generate hypotheses for improving cell fate engineering protocols We used CellNet-predictions to improve B cell to macrophage direct conversion
The CellNet RNA-Seq Web Application - GitHub CellNet is a computational tool to assess the establishment of cell type specific gene regulatory networks in engineered cells Previously we built a web application that allows researchers to upload microarray data and analyze it using CellNet