A computational ranking of candidate 'plasticity marker' genes in pediatric AML from longitudinal scRNA-seq, using LSTM, Transformer, and BDM perturbation, without reported predictive performance.
The molecular landscape of pediatric acute myeloid leukemia reveals recurrent structural alterations and age-specific muta- tional interactions
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Neurosymbolic Learning for Predicting Cell Fate Decisions from Longitudinal Single Cell Transcriptomics in Paediatric Acute Myeloid Leukemia
A computational ranking of candidate 'plasticity marker' genes in pediatric AML from longitudinal scRNA-seq, using LSTM, Transformer, and BDM perturbation, without reported predictive performance.