{
  "id": 444067,
  "title": "Understanding multiome data",
  "url": "/competitions/open-problems-single-cell-perturbations/discussion/444067",
  "author_name": "",
  "post_date": "2023-09-30T08:18:35.652482100Z",
  "votes": 5,
  "comment_count": 4,
  "views": 0,
  "content": "<p>Hello community! Would be very grateful for any advice. As mentioned in the description, the location column in the multiome_train.parquet file contains gene symbols. But when I filter only genes present in the de_train file (column names), it appears that there are only 15580 of the 18211 genes. </p>\n<p>Do I understand correctly that we only have multiome data (baseline expression) for a subset of genes, or am I doing something wrong?</p>",
  "messages": [
    {
      "id": "2462242",
      "postDate": "09/30/2023 08:18:35",
      "content": "<p>Hello community! Would be very grateful for any advice. As mentioned in the description, the location column in the multiome_train.parquet file contains gene symbols. But when I filter only genes present in the de_train file (column names), it appears that there are only 15580 of the 18211 genes. </p>\n<p>Do I understand correctly that we only have multiome data (baseline expression) for a subset of genes, or am I doing something wrong?</p>",
      "rawMarkdown": "Hello community! Would be very grateful for any advice. As mentioned in the description, the location column in the multiome_train.parquet file contains gene symbols. But when I filter only genes present in the de_train file (column names), it appears that there are only 15580 of the 18211 genes. \n\nDo I understand correctly that we only have multiome data (baseline expression) for a subset of genes, or am I doing something wrong?",
      "votes": null
    },
    {
      "id": "2463784",
      "postDate": "10/01/2023 14:57:53",
      "content": "<p>Maybe we both doing something wrong - I see the same number of missing genes.</p>",
      "rawMarkdown": "Maybe we both doing something wrong - I see the same number of missing genes.",
      "votes": null
    },
    {
      "id": "2463850",
      "postDate": "10/01/2023 16:07:19",
      "content": "<p>there was a post about this a while ago, here: <a href=\"https://www.kaggle.com/competitions/open-problems-single-cell-perturbations/discussion/440792\" target=\"_blank\">https://www.kaggle.com/competitions/open-problems-single-cell-perturbations/discussion/440792</a></p>",
      "rawMarkdown": "there was a post about this a while ago, here: https://www.kaggle.com/competitions/open-problems-single-cell-perturbations/discussion/440792",
      "votes": null
    },
    {
      "id": "2464089",
      "postDate": "10/01/2023 23:52:59",
      "content": "<p>Think this is a different question.  There are 2631 genes which have no multiome_var_meta data.  Makes for a pretty big hole if you wanted to add 'chromosome' as a feature in your model.</p>",
      "rawMarkdown": "Think this is a different question.  There are 2631 genes which have no multiome_var_meta data.  Makes for a pretty big hole if you wanted to add 'chromosome' as a feature in your model.",
      "votes": null
    },
    {
      "id": "2464115",
      "postDate": "10/02/2023 00:30:22",
      "content": "<p>yeah, I saw it. It's about adata_train.parquet, says it is actually a superset of de_train. Here is a different situation - multiome data has  **fewer **genes than de_train, unless I  did not understand smth…</p>",
      "rawMarkdown": "yeah, I saw it. It's about adata_train.parquet, says it is actually a superset of de_train. Here is a different situation - multiome data has  **fewer **genes than de_train, unless I  did not understand smth...",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2463784,
      "author_name": "pcjimmmy",
      "author_url": "",
      "post_date": "10/01/2023 14:57:53",
      "content": "<p>Maybe we both doing something wrong - I see the same number of missing genes.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2463850,
      "author_name": "rahi37",
      "author_url": "",
      "post_date": "10/01/2023 16:07:19",
      "content": "<p>there was a post about this a while ago, here: <a href=\"https://www.kaggle.com/competitions/open-problems-single-cell-perturbations/discussion/440792\" target=\"_blank\">https://www.kaggle.com/competitions/open-problems-single-cell-perturbations/discussion/440792</a></p>",
      "votes": null,
      "replies": [
        {
          "id": 2464089,
          "author_name": "pcjimmmy",
          "author_url": "",
          "post_date": "10/01/2023 23:52:59",
          "content": "<p>Think this is a different question.  There are 2631 genes which have no multiome_var_meta data.  Makes for a pretty big hole if you wanted to add 'chromosome' as a feature in your model.</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 2464115,
          "author_name": "antoninadolgorukova",
          "author_url": "",
          "post_date": "10/02/2023 00:30:22",
          "content": "<p>yeah, I saw it. It's about adata_train.parquet, says it is actually a superset of de_train. Here is a different situation - multiome data has  **fewer **genes than de_train, unless I  did not understand smth…</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2462242": "Hello community! Would be very grateful for any advice. As mentioned in the description, the location column in the multiome_train.parquet file contains gene symbols. But when I filter only genes present in the de_train file (column names), it appears that there are only 15580 of the 18211 genes. \n\nDo I understand correctly that we only have multiome data (baseline expression) for a subset of genes, or am I doing something wrong?",
    "2463784": "Maybe we both doing something wrong - I see the same number of missing genes.",
    "2463850": "there was a post about this a while ago, here: https://www.kaggle.com/competitions/open-problems-single-cell-perturbations/discussion/440792",
    "2464089": "Think this is a different question.  There are 2631 genes which have no multiome_var_meta data.  Makes for a pretty big hole if you wanted to add 'chromosome' as a feature in your model.",
    "2464115": "yeah, I saw it. It's about adata_train.parquet, says it is actually a superset of de_train. Here is a different situation - multiome data has  **fewer **genes than de_train, unless I  did not understand smth..."
  },
  "source": "meta"
}