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[VIS19 Preview] scAnalyzer: an Interactive Tool for Convenient Visual Analysis and Exploration of Single-Cell Data (poster)
⏲ 30 sec ✓ 20-Sep-2019
Introduction to scRNA-seq data analysis
⏲ 15 minutes 26 seconds 👁 6.1K
Introduction to ScRNA-seq Data Analysis
⏲ 7 minutes 33 seconds 👁 1.9K
Cracking the code of pancreatic cancer's resilient stem cells - Meet one of the Scipio bioscience’s grant awards winners! �
⏲ 1 min 29 sec ✓ 07-Nov-2023
scRNA-seq: Detecting cluster marker genes
⏲ 13 minutes 32 seconds 👁 878
8. Differential expression analysis of scRNA-seq data
⏲ 47 minutes 23 seconds 👁 3.2K
How to Analyze Single Cell RNA Seq Data - Point, Click, Done
⏲ 47 minutes 44 seconds 👁 1.2K
A beginner's bioinformatics guide for single-cell RNAseq data analysis
⏲ 26 minutes 9 seconds 👁 2K
scRNA-seq analysis workshop - April 27th, 2020
⏲ 7 hours 38 minutes 11 seconds 👁 5.8K
Normalization methods for single-cell RNA-Seq data (high-level overview)
⏲ 27 minutes 5 seconds 👁 5.6K
Complete single-cell RNAseq analysis walkthrough | Advanced introduction
⏲ 1 hour 18 minutes 40 seconds 👁 34.9K
Single cell and spatial omics: A short introduction to the core concepts of scRNA-seq and more
⏲ 6 minutes 21 seconds 👁 3.1K
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_vis19-preview-scanalyzer-an-interactive-tool-for-convenient-visual-analysis-and-exploration-of-single-cell-data-poster.webp "Poster nnAuthors: Haejin Jeong , hyoung-oh Jeong , Assistant Professor Semin Lee , Won-Ki JeongnnAbstract: Single-cell RNA sequencing (scRNA-seq) is increasingly used to study gene expression of cells at the single cell level. Analyzing scRNA-seq data allows analysts to discover and characterize cell types. In most cell type estimation processes, analysts need to identify differentially expressed genes in all cell populations and need to know which genes are associated with which cell types. Thi")
_introduction-to-scrna-seq-data-analysis.webp "Chipster Tutorials")
_introduction-to-scrna-seq-data-analysis.webp "10x Genomics")
_cracking-the-code-of-pancreatic-cancer39s-resilient-stem-cells-meet-one-of-the-scipio-biosciences-grant-awards-winners.webp "New tools are needed to fight chemotherapy-resistant pancreatic cancer, and Dr. Siim Pauklin and his team at the University of Oxford’s Botnar Research Center intend to uncover the weaknesses of the cancer stem cells at the core of the tumors.nnWith their $30-000 prize covering Asteria™ scRNA-seq kits and sequencing, they are well-equipped to fight back and try out their new strategy thanks to single-cell insights. nRead more about their research and the other winners here: https://scipio.bi")
_scrna-seq-detecting-cluster-marker-genes.webp "Chipster Tutorials")
_8-differential-expression-analysis-of-scrna-seq-data.webp "Chipster Tutorials")
_how-to-analyze-single-cell-rna-seq-data-point-click-done.webp "Partek Incorporated")
_a-beginner39s-bioinformatics-guide-for-single-cell-rnaseq-data-analysis.webp "chatomics")
_scrna-seq-analysis-workshop-april-27th-2020.webp "dpcook")
_normalization-methods-for-single-cell-rna-seq-data-high-level-overview.webp "Florian Wagner")
_complete-single-cell-rnaseq-analysis-walkthrough-124-advanced-introduction.webp "Sanbomics")
_single-cell-and-spatial-omics-a-short-introduction-to-the-core-concepts-of-scrna-seq-and-more.webp "Lars Juhl Jensen")
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