MICHAEL TAYLOR to Single-Cell Analysis
This is a "connection" page, showing publications MICHAEL TAYLOR has written about Single-Cell Analysis.
Connection Strength
0.456
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A single-cell transcriptomic map of the developing Atoh1 lineage identifies neural fate decisions and neuronal diversity in the hindbrain. Dev Cell. 2024 08 19; 59(16):2171-2188.e7.
Score: 0.166
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Childhood cerebellar tumours mirror conserved fetal transcriptional programs. Nature. 2019 08; 572(7767):67-73.
Score: 0.115
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Gene context drift identifies drug targets to mitigate cancer treatment resistance. Cancer Cell. 2025 Sep 08; 43(9):1608-1621.e9.
Score: 0.044
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DeepVelo: deep learning extends RNA velocity to multi-lineage systems with cell-specific kinetics. Genome Biol. 2024 01 19; 25(1):27.
Score: 0.040
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Single-cell chromatin accessibility profiling of glioblastoma identifies an invasive cancer stem cell population associated with lower survival. Elife. 2021 01 11; 10.
Score: 0.032
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scRNA-seq in medulloblastoma shows cellular heterogeneity and lineage expansion support resistance to SHH inhibitor therapy. Nat Commun. 2019 12 20; 10(1):5829.
Score: 0.030
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Single-Cell Transcriptomics in Medulloblastoma Reveals Tumor-Initiating Progenitors and Oncogenic Cascades during Tumorigenesis and Relapse. Cancer Cell. 2019 09 16; 36(3):302-318.e7.
Score: 0.029