{
  "id": 613082,
  "title": "Train Data train_terms.tsv",
  "url": "/competitions/cafa-6-protein-function-prediction/discussion/613082",
  "author_name": "",
  "post_date": "2025-10-24T04:14:03.402052200Z",
  "votes": null,
  "comment_count": 4,
  "views": 0,
  "content": "<p>Hi, I'm new for this CAFA competition. May I know what is this \"aspect\" feature means? it has P, C, F values? how does it relates with the other data files? thanks</p>",
  "messages": [
    {
      "id": "3306185",
      "postDate": "10/24/2025 04:14:03",
      "content": "<p>Hi, I'm new for this CAFA competition. May I know what is this \"aspect\" feature means? it has P, C, F values? how does it relates with the other data files? thanks</p>",
      "rawMarkdown": "Hi, I'm new for this CAFA competition. May I know what is this \"aspect\" feature means? it has P, C, F values? how does it relates with the other data files? thanks",
      "votes": null
    },
    {
      "id": "3306298",
      "postDate": "10/24/2025 08:35:40",
      "content": "<p>Hi.</p>\n<blockquote>\n  <p>The organizers provide a set of protein sequences on which the participants are asked to predict Gene Ontology (GO) terms in each of the three subontologies: Molecular <strong>Function</strong> (M<strong>F</strong>), Biological <strong>Process</strong> (B<strong>P</strong>), and Cellular <strong>Component</strong> (C<strong>C</strong>). This set of sequences is referred to as the test superset.</p>\n</blockquote>",
      "rawMarkdown": "Hi.\n\n> The organizers provide a set of protein sequences on which the participants are asked to predict Gene Ontology (GO) terms in each of the three subontologies: Molecular **Function** (M**F**), Biological **Process** (B**P**), and Cellular **Component** (C**C**). This set of sequences is referred to as the test superset.",
      "votes": null
    },
    {
      "id": "3306326",
      "postDate": "10/24/2025 10:28:15",
      "content": "<p>Is it? I thought those info were in go-basic.odo file? Why is it P instead of BP? </p>",
      "rawMarkdown": "Is it? I thought those info were in go-basic.odo file? Why is it P instead of BP?",
      "votes": null
    },
    {
      "id": "3306336",
      "postDate": "10/24/2025 10:41:41",
      "content": "<p>Is shorter. More accurate source, from data you can read:</p>\n<blockquote>\n  <p>Labels: train_terms.tsv contains the list of annotated terms (ground truth) for the proteins in train_sequences.fasta. The first column indicates the protein's UniProt accession ID, the second is the GO term ID, <strong>and the third indicates in which ontology the term appears</strong>.</p>\n</blockquote>",
      "rawMarkdown": "Is shorter. More accurate source, from data you can read:\n\n>Labels: train_terms.tsv contains the list of annotated terms (ground truth) for the proteins in train_sequences.fasta. The first column indicates the protein's UniProt accession ID, the second is the GO term ID, **and the third indicates in which ontology the term appears**.",
      "votes": null
    },
    {
      "id": "3306427",
      "postDate": "10/24/2025 14:13:39",
      "content": "<p>Yes, that is correct. Every GO term belongs to one subontology (\"P\" for Biological Process, BP, BPO; \"C\" for Cellular Component, CC, CCO; \"F\" for Molecular Function, MF, MFO). We use these acronyms interchangeably within each aspect/subontology. </p>",
      "rawMarkdown": "Yes, that is correct. Every GO term belongs to one subontology (\"P\" for Biological Process, BP, BPO; \"C\" for Cellular Component, CC, CCO; \"F\" for Molecular Function, MF, MFO). We use these acronyms interchangeably within each aspect/subontology.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3306298,
      "author_name": "sacuscreed",
      "author_url": "",
      "post_date": "10/24/2025 08:35:40",
      "content": "<p>Hi.</p>\n<blockquote>\n  <p>The organizers provide a set of protein sequences on which the participants are asked to predict Gene Ontology (GO) terms in each of the three subontologies: Molecular <strong>Function</strong> (M<strong>F</strong>), Biological <strong>Process</strong> (B<strong>P</strong>), and Cellular <strong>Component</strong> (C<strong>C</strong>). This set of sequences is referred to as the test superset.</p>\n</blockquote>",
      "votes": null,
      "replies": [
        {
          "id": 3306326,
          "author_name": "rubyhartono",
          "author_url": "",
          "post_date": "10/24/2025 10:28:15",
          "content": "<p>Is it? I thought those info were in go-basic.odo file? Why is it P instead of BP? </p>",
          "votes": null,
          "replies": [
            {
              "id": 3306336,
              "author_name": "sacuscreed",
              "author_url": "",
              "post_date": "10/24/2025 10:41:41",
              "content": "<p>Is shorter. More accurate source, from data you can read:</p>\n<blockquote>\n  <p>Labels: train_terms.tsv contains the list of annotated terms (ground truth) for the proteins in train_sequences.fasta. The first column indicates the protein's UniProt accession ID, the second is the GO term ID, <strong>and the third indicates in which ontology the term appears</strong>.</p>\n</blockquote>",
              "votes": null,
              "replies": []
            },
            {
              "id": 3306427,
              "author_name": "ahphan",
              "author_url": "",
              "post_date": "10/24/2025 14:13:39",
              "content": "<p>Yes, that is correct. Every GO term belongs to one subontology (\"P\" for Biological Process, BP, BPO; \"C\" for Cellular Component, CC, CCO; \"F\" for Molecular Function, MF, MFO). We use these acronyms interchangeably within each aspect/subontology. </p>",
              "votes": null,
              "replies": []
            }
          ]
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "3306185": "Hi, I'm new for this CAFA competition. May I know what is this \"aspect\" feature means? it has P, C, F values? how does it relates with the other data files? thanks",
    "3306298": "Hi.\n\n> The organizers provide a set of protein sequences on which the participants are asked to predict Gene Ontology (GO) terms in each of the three subontologies: Molecular **Function** (M**F**), Biological **Process** (B**P**), and Cellular **Component** (C**C**). This set of sequences is referred to as the test superset.",
    "3306326": "Is it? I thought those info were in go-basic.odo file? Why is it P instead of BP?",
    "3306336": "Is shorter. More accurate source, from data you can read:\n\n>Labels: train_terms.tsv contains the list of annotated terms (ground truth) for the proteins in train_sequences.fasta. The first column indicates the protein's UniProt accession ID, the second is the GO term ID, **and the third indicates in which ontology the term appears**.",
    "3306427": "Yes, that is correct. Every GO term belongs to one subontology (\"P\" for Biological Process, BP, BPO; \"C\" for Cellular Component, CC, CCO; \"F\" for Molecular Function, MF, MFO). We use these acronyms interchangeably within each aspect/subontology."
  },
  "source": "meta"
}