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8 Results:SS:SINGLECELL PP:UNIVERSITY OF MICHIGAN. 0.406 sec.
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1
Computational Methods for Single-Cell and Spatial Multimodal Data Integration.
Computational Methods for Single-Cell and Spatial Multimodal Data Integration.
Gao, Chao.Bioinformatics. | University of Michigan. | 2024
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2
Computational Methods for Linking Molecular and Anatomical Data With Spatial Transcriptomics.
Computational Methods for Linking Molecular and Anatomical Data With Spatial Transcriptomics.
Kriebel, April R.Bioinformatics. | University of Michigan. | 2024
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3
Gene Expression and DNA Methylation in Human Placental Cell Types: Applications to Deconvolution, Prenatal Metals Exposure, and Preeclampsia Molecular Epidemiology- [electronic resource]
Gene Expression and DNA Methylation in Human Placental Cell Types: Applications to Deconvolution, Prenatal Metals Exposure, and Preeclampsia Molecular Epidemiology- [electronic resource]
Campbell, Kyle A.Epidemiological Science. | University of Michigan. | 2023
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4
Statistical and Computational Methods for High-Dimensional Genomics Data- [electronic resource]
Statistical and Computational Methods for High-Dimensional Genomics Data- [electronic resource]
Ma, Ying.Biostatistics. | University of Michigan. | 2023
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5
Deep Generative Models for Single-Cell Perturbation Experiments.
Deep Generative Models for Single-Cell Perturbation Experiments.
Yu, Hengshi.Biostatistics. | University of Michigan. | 2022
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6
A Systems Approach to Overcome Tumor-Cell Heterogeneity in Drug Response: Metrics and Mechanisms.
A Systems Approach to Overcome Tumor-Cell Heterogeneity in Drug Response: Metrics and Mechanisms.
Comandante-Lou, Natacha.Biomedical Engineering. | University of Michigan. | 2022
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7
Single-Cell Profiling of Paracrine Network and Immune Landscape in Non-Alcoholic Steatohepatitis.
Single-Cell Profiling of Paracrine Network and Immune Landscape in Non-Alcoholic Steatohepatitis.
Kuang, Henry.Cellular & Molec Biology PhD. | University of Michigan. | 2020
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8
Single Cell Transcriptomic Analytics: Methods Development, Benchmarking, and Applications in Biological Research.
Single Cell Transcriptomic Analytics: Methods Development, Benchmarking, and Applications in Biological Research.
Zheng, Xianing.Human Genetics. | University of Michigan. | 2022
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