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Showing 1 to 3 of 3 for “"cell type classification"”.
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Statistical analysis of neuronal data: Development of quantitative frameworks and application to microelectrode array analysis and cell type classification
… of quantitative frameworks for the analysis and classification of neuronal data from a variety of contexts. Firstly, I investigate methods for analysing spontaneous neuronal network activity recorded on microelectrode arrays (MEAs). I perform an unbiased evaluation of the existing techniques for …
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Leveraging Single-Cell ATAC-Seq for Genomic Language Models and Multimodal Foundation Models
Single-cell Assay for Transposase-Accessible Chromatin using sequencing (scATAC-seq) has emerged as a powerful tool for profiling chromatin accessibility at single-cell resolution. By capturing epigenomic landscapes, scATAC-seq provides critical insights into the regulatory elements that govern …
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Scalable Machine Learning Methods For The Analysis Of Single-Cell Transcriptomics And Multiomics Data
… Expression profiling of expression at the single-cell resolution allows investigators to identify rare cell subtypes in human tissue which would be otherwise confounded in lower-resolution, bulk sequencing technologies. Previously, investigators studied human cell populations by profiling RNA …