{
  "id": 276750,
  "title": "Single-cell RNASeq Analysis",
  "url": "/competitions/hpa-single-cell-image-classification/discussion/276750",
  "author_name": "Aayush Sharma",
  "post_date": "2021-10-06T06:38:38.633000",
  "votes": 4,
  "comment_count": 0,
  "views": 0,
  "content": "<p>For the past few weeks, I worked on the <strong>Single-Cell RNA sequence data analysis</strong>.<br>\nIn recent years, single-cell RNA-seq (scRNA-seq) has become widely used for transcriptome analysis in many areas of biology. The analysis of scRNA-seq data is the crucial step.<br>\nI created a few Kaggle notebooks covering the standard pipeline for scRNA-seq data analysis and did my best to describe the stuff going on. <br>\nI covered the following stuff:</p>\n<ul>\n<li><a href=\"https://www.kaggle.com/aayush9753/theory-introduction-to-single-cell-rna-seq?scriptVersionId=74733387\" target=\"_blank\">Theory - Introduction to single-cell RNA-seq</a></li>\n<li><a href=\"https://www.kaggle.com/aayush9753/1-anndata-and-preprocessing-spike-ins\" target=\"_blank\">AnnData and Preprocessing spike-ins</a></li>\n<li><a href=\"https://www.kaggle.com/aayush9753/2-quality-control-in-single-cell-rna-seq-data\" target=\"_blank\">Quality Control in Single cell RNA-seq data</a> </li>\n<li><a href=\"https://www.kaggle.com/aayush9753/3-normalization-pca-in-single-cell-rna-seq-data#Normalizing-gene-expression\" target=\"_blank\">Normalization &amp; PCA</a></li>\n<li><a href=\"https://www.kaggle.com/aayush9753/4-dimensionality-reduction-and-clustering\" target=\"_blank\">Dimensionality reduction and Clustering</a></li>\n<li><a href=\"https://www.kaggle.com/aayush9753/5-differential-expression-in-single-cell-rna-seq\" target=\"_blank\">Differential expression</a></li>\n</ul>\n<p>I hope you will find this interesting.</p>\n<p><a href=\"https://github.com/aayush9753/Single-cell-RNA-seq-analysis-of-Tabula-Muris-data\" target=\"_blank\">My Github</a></p>",
  "messages": [
    {
      "id": 1535735,
      "postDate": "2021-10-06T06:38:38.633Z",
      "content": "<p>For the past few weeks, I worked on the <strong>Single-Cell RNA sequence data analysis</strong>.<br>\nIn recent years, single-cell RNA-seq (scRNA-seq) has become widely used for transcriptome analysis in many areas of biology. The analysis of scRNA-seq data is the crucial step.<br>\nI created a few Kaggle notebooks covering the standard pipeline for scRNA-seq data analysis and did my best to describe the stuff going on. <br>\nI covered the following stuff:</p>\n<ul>\n<li><a href=\"https://www.kaggle.com/aayush9753/theory-introduction-to-single-cell-rna-seq?scriptVersionId=74733387\" target=\"_blank\">Theory - Introduction to single-cell RNA-seq</a></li>\n<li><a href=\"https://www.kaggle.com/aayush9753/1-anndata-and-preprocessing-spike-ins\" target=\"_blank\">AnnData and Preprocessing spike-ins</a></li>\n<li><a href=\"https://www.kaggle.com/aayush9753/2-quality-control-in-single-cell-rna-seq-data\" target=\"_blank\">Quality Control in Single cell RNA-seq data</a> </li>\n<li><a href=\"https://www.kaggle.com/aayush9753/3-normalization-pca-in-single-cell-rna-seq-data#Normalizing-gene-expression\" target=\"_blank\">Normalization &amp; PCA</a></li>\n<li><a href=\"https://www.kaggle.com/aayush9753/4-dimensionality-reduction-and-clustering\" target=\"_blank\">Dimensionality reduction and Clustering</a></li>\n<li><a href=\"https://www.kaggle.com/aayush9753/5-differential-expression-in-single-cell-rna-seq\" target=\"_blank\">Differential expression</a></li>\n</ul>\n<p>I hope you will find this interesting.</p>\n<p><a href=\"https://github.com/aayush9753/Single-cell-RNA-seq-analysis-of-Tabula-Muris-data\" target=\"_blank\">My Github</a></p>",
      "rawMarkdown": "For the past few weeks, I worked on the **Single-Cell RNA sequence data analysis**.\nIn recent years, single-cell RNA-seq (scRNA-seq) has become widely used for transcriptome analysis in many areas of biology. The analysis of scRNA-seq data is the crucial step.\nI created a few Kaggle notebooks covering the standard pipeline for scRNA-seq data analysis and did my best to describe the stuff going on. \nI covered the following stuff:\n- [Theory - Introduction to single-cell RNA-seq](https://www.kaggle.com/aayush9753/theory-introduction-to-single-cell-rna-seq?scriptVersionId=74733387)\n- [AnnData and Preprocessing spike-ins](https://www.kaggle.com/aayush9753/1-anndata-and-preprocessing-spike-ins)\n- [Quality Control in Single cell RNA-seq data](https://www.kaggle.com/aayush9753/2-quality-control-in-single-cell-rna-seq-data) \n- [Normalization & PCA](https://www.kaggle.com/aayush9753/3-normalization-pca-in-single-cell-rna-seq-data#Normalizing-gene-expression)\n- [Dimensionality reduction and Clustering](https://www.kaggle.com/aayush9753/4-dimensionality-reduction-and-clustering )\n- [Differential expression](https://www.kaggle.com/aayush9753/5-differential-expression-in-single-cell-rna-seq)\n\nI hope you will find this interesting.\n\n[My Github](https://github.com/aayush9753/Single-cell-RNA-seq-analysis-of-Tabula-Muris-data)",
      "votes": 4
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1535735": "For the past few weeks, I worked on the **Single-Cell RNA sequence data analysis**.\nIn recent years, single-cell RNA-seq (scRNA-seq) has become widely used for transcriptome analysis in many areas of biology. The analysis of scRNA-seq data is the crucial step.\nI created a few Kaggle notebooks covering the standard pipeline for scRNA-seq data analysis and did my best to describe the stuff going on. \nI covered the following stuff:\n- [Theory - Introduction to single-cell RNA-seq](https://www.kaggle.com/aayush9753/theory-introduction-to-single-cell-rna-seq?scriptVersionId=74733387)\n- [AnnData and Preprocessing spike-ins](https://www.kaggle.com/aayush9753/1-anndata-and-preprocessing-spike-ins)\n- [Quality Control in Single cell RNA-seq data](https://www.kaggle.com/aayush9753/2-quality-control-in-single-cell-rna-seq-data) \n- [Normalization & PCA](https://www.kaggle.com/aayush9753/3-normalization-pca-in-single-cell-rna-seq-data#Normalizing-gene-expression)\n- [Dimensionality reduction and Clustering](https://www.kaggle.com/aayush9753/4-dimensionality-reduction-and-clustering )\n- [Differential expression](https://www.kaggle.com/aayush9753/5-differential-expression-in-single-cell-rna-seq)\n\nI hope you will find this interesting.\n\n[My Github](https://github.com/aayush9753/Single-cell-RNA-seq-analysis-of-Tabula-Muris-data)"
  }
}