2023
DOI: 10.1016/j.crmeth.2023.100512
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Characterization of cell-fate decision landscapes by estimating transcription factor dynamics

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Cited by 2 publications
(1 citation statement)
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“…One of the strengths of SinCMat lies in its ability to predict functional maturation TFs from only the information on the target cell type without requiring any additional input. Nonetheless, we compared its performance with FateCompass, a tool that computes TF activity over time ( Jiménez et al., 2023 ), by using time-series datasets of maturing cells/organs. Interestingly, our results unveiled that TF activity over the cell maturation time course does not correlate with the concept of functional cell maturation considered in this study, supporting the need for a model that takes into account the co-binding property of ITFs/STFs.…”
Section: Resultsmentioning
confidence: 99%
“…One of the strengths of SinCMat lies in its ability to predict functional maturation TFs from only the information on the target cell type without requiring any additional input. Nonetheless, we compared its performance with FateCompass, a tool that computes TF activity over time ( Jiménez et al., 2023 ), by using time-series datasets of maturing cells/organs. Interestingly, our results unveiled that TF activity over the cell maturation time course does not correlate with the concept of functional cell maturation considered in this study, supporting the need for a model that takes into account the co-binding property of ITFs/STFs.…”
Section: Resultsmentioning
confidence: 99%