GEO series
Global transcriptional profiles of hiPSC-derived hypothalamus-pituitary organoids predicted to fail or succeed by machine learning model
GSE301692
Homo sapiens
Expression profiling by high throughput sequencing
16 samples
2025/07/03
GPL30173
Summary
We have established a machine learning-based model capable of predicting the successful hypothalamus-pituitary organoid formation from human iPS cells, based solely on phase-contrast images captured at the early timing of differentiation.
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Paper (PMID 40763741) ↗
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