MICHAEL TAYLOR to Gene Expression Profiling
This is a "connection" page, showing publications MICHAEL TAYLOR has written about Gene Expression Profiling.
Connection Strength
0.415
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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: 0.125
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Molecular subgroups of medulloblastoma: the current consensus. Acta Neuropathol. 2012 Apr; 123(4):465-72.
Score: 0.054
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Radial glia cells are candidate stem cells of ependymoma. Cancer Cell. 2005 Oct; 8(4):323-35.
Score: 0.035
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Unveiling spatial heterogeneity in medulloblastoma: A multi-omics analysis of cellular state and geographical organization. Neuro Oncol. 2025 Jul 30; 27(6):1611-1627.
Score: 0.035
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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: 0.035
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High-resolution structural genomics reveals new therapeutic vulnerabilities in glioblastoma. Genome Res. 2019 08; 29(8):1211-1222.
Score: 0.023
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Intratumoral Genetic and Functional Heterogeneity in Pediatric Glioblastoma. Cancer Res. 2019 05 01; 79(9):2111-2123.
Score: 0.022
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Intertumoral Heterogeneity within Medulloblastoma Subgroups. Cancer Cell. 2017 06 12; 31(6):737-754.e6.
Score: 0.020
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Spatial heterogeneity in medulloblastoma. Nat Genet. 2017 May; 49(5):780-788.
Score: 0.020
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MLL5 Orchestrates a Cancer Self-Renewal State by Repressing the Histone Variant H3.3 and Globally Reorganizing Chromatin. Cancer Cell. 2015 Dec 14; 28(6):715-729.
Score: 0.018
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Quiescent sox2(+) cells drive hierarchical growth and relapse in sonic hedgehog subgroup medulloblastoma. Cancer Cell. 2014 Jul 14; 26(1):33-47.
Score: 0.016
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Delineation of two clinically and molecularly distinct subgroups of posterior fossa ependymoma. Cancer Cell. 2011 Aug 16; 20(2):143-57.
Score: 0.013