9,306 results for -single · 0.331s

github.com/jagt/python-single-line-convert

jagt/python-single-line-convert

Convert multiple line Python code to a single line in a dead simple way. (⭐ 24)

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Reference-Based Single-Cell RNA-Seq Annotation

Mar 3, 2025 · SingleR is an automatic annotation method for single-cell RNA sequencing (scRNAseq) data (Aran et al. 2019). Given a reference dataset of samples (single-cell or bulk) with known labels, …

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Using SingleR to annotate single-cell RNA-seq data - TU Dortmund

SingleR is an automatic annotation method for single-cell RNA sequencing (scRNAseq) data (Aran et al. 2019). Given a reference dataset of samples (single-cell or bulk) with known labels, it labels new …

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Using SingleR to annotate single-cell RNA-seq data

Jan 5, 2026 · SingleR is an automatic annotation method for single-cell RNA sequencing (scRNAseq) data (Aran et al. 2019). Given a reference dataset of samples (single-cell or bulk) with known labels, …

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SingleR | Aran Lab @ Technion

Here, we present SingleR, a novel computational method for unbiased cell type recognition of scRNA-seq. SingleR leverages reference transcriptomic datasets of pure cell types to infer the cell of origin …

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SingleR: Reference-Based Single-Cell RNA-Seq Annotation

SingleR: Reference-Based Single-Cell RNA-Seq Annotation Performs unbiased cell type recognition from single-cell RNA sequencing data, by leveraging reference transcriptomic datasets of pure cell …

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SingleR tutorial: easy cell type annotation - biostatsquid.com

In this easy, step-by-step tutorial you will learn how to to do cell type annotation with the R package SingleR. SingleR is a popular reference-based automatic cell type annotation tool used to predict cell …

arxiv.org/abs/1205.5068v2

Single-molecule pulling: phenomenology and interpretation

Single-molecule pulling techniques have emerged as versatile tools for probing the noncovalent forces holding together the secondary and tertiary structure of macromolecules. They also constitute a way to study at the single-molecule level processes...

arxiv.org/abs/2210.12385v2

Deep Learning in Single-Cell Analysis

Single-cell technologies are revolutionizing the entire field of biology. The large volumes of data generated by single-cell technologies are high-dimensional, sparse, heterogeneous, and have complicated dependency structures, making analyses using c...

arxiv.org/abs/2408.11792v6

Optical ISAC: Fundamental Performance Limits and Transceiver Design

This paper characterizes the optimal capacity-distortion (C-D) tradeoff in an optical point-to-point system with single-input single-output (SISO) for communication and single-input multiple-output (SIMO) for sensing within an integrated sensing and...

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