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  "_id": "6ac774f7de46216d5edd02d0",
  "Package": "PSSMCOOL",
  "Type": "Package",
  "Title": "Features Extracted from Position Specific Scoring Matrix (PSSM)",
  "Version": "0.2.2",
  "Authors@R": "c(\nperson(\"Javad\", \"zahiri\", email = \"zahiri@modares.ac.ir\", role = \"aut\"),\nperson(\"Alireza\", \"mohammadi\", email = \"alireza691111@gmail.com\", role = c(\"aut\",\"cre\")))",
  "Maintainer": "Alireza mohammadi <alireza691111@gmail.com>",
  "Description": "Returns almost all features that has been extracted from\nPosition Specific Scoring Matrix (PSSM) so far, which is a\nmatrix of L rows (L is protein length) and 20 columns produced\nby 'PSI-BLAST' which is a program to produce PSSM Matrix from\nmultiple sequence alignment of proteins see\n<https://www.ncbi.nlm.nih.gov/books/NBK2590/> for mor details.\nsome of these features are described in Zahiri, J., et\nal.(2013) <DOI:10.1016/j.ygeno.2013.05.006>, Saini, H., et\nal.(2016) <DOI:10.17706/jsw.11.8.756-767>, Ding, S., et\nal.(2014) <DOI:10.1016/j.biochi.2013.09.013>, Cheng, C.W., et\nal.(2008) <DOI:10.1186/1471-2105-9-S12-S6>, Juan, E.Y., et\nal.(2009) <DOI:10.1109/CISIS.2009.194>.",
  "License": "GPL-3",
  "URL": "https://github.com/Alireza9651501005/PSSMCOOL",
  "BugReports": "https://github.com/Alireza9651501005/PSSMCOOL/issues",
  "Encoding": "UTF-8",
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  "Date/Publication": "2021-12-30 09:03:10 UTC",
  "RemoteUrl": "https://github.com/biocool-lab/pssmcool",
  "RemoteRef": "HEAD",
  "RemoteSha": "65e1c4e91cfdda6a7d0c715ded9910f50bf3a390",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-10-08 09:56:27 UTC",
    "User": "root"
  },
  "Author": "Javad zahiri [aut],\nAlireza mohammadi [aut, cre]",
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  "_expires": "2027-01-16T10:48:20.000Z",
  "_created": "2026-10-08T09:56:27.000Z",
  "_published": "2026-10-08T10:48:23.672Z",
  "_buildurl": "https://github.com/r-universe/biocool-lab/actions/runs/37759738986",
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  "_host": "GitHub-Actions",
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  "_selfowned": true,
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  "_tags": [],
  "_stars": 4,
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  },
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/PSSMCOOL"
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  "_devurl": "https://github.com/alireza9651501005/pssmcool",
  "_searchresults": 20,
  "_rbuild": "4.6.1",
  "_assets": [
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    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
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    "extra/PSSMCOOL.html",
    "extra/readme.html",
    "extra/readme.md"
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  "_homeurl": "https://github.com/biocool-lab/pssmcool",
  "_realowner": "biocool-lab",
  "_cranurl": true,
  "_releases": [
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      "version": "0.1.0",
      "date": "2020-05-08"
    },
    {
      "version": "0.2.0",
      "date": "2020-08-07"
    },
    {
      "version": "0.2.1",
      "date": "2020-10-25"
    },
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      "date": "2021-09-27"
    },
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      "date": "2021-12-11"
    },
    {
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      "date": "2022-01-04"
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  ],
  "_exports": [
    "AATP_TPCC",
    "AB_PSSM",
    "Averag_Block",
    "consunsus_sequence",
    "CS_PSe_PSSM",
    "DFMCA_PSSM",
    "Discrete_Cosine_Transform",
    "disulfid",
    "DP_PSSM",
    "DPC_PSSM",
    "dwt_PSSM",
    "EDP_MEDP",
    "FPSSM",
    "FPSSM2",
    "grey_pssm_pseAAC",
    "k_mers",
    "k_seperated_bigrame",
    "kiderafactor",
    "LPC_PSSM",
    "MBMGACPSSM",
    "pse_pssm",
    "pssm_ac",
    "pssm_cc",
    "PSSM_SD",
    "pssm_seg",
    "pssm400",
    "PSSMAC",
    "PSSMBLOCK",
    "rpssm",
    "scsh2",
    "single_Average",
    "smoothed_PSSM",
    "SOMA_PSSM",
    "SVD_PSSM",
    "three_mer",
    "trigrame_pssm"
  ],
  "_help": [
    {
      "page": "PSSMCOOL-package",
      "title": "PSSMCOOL:Extracting Various Feature vectors from PSSM Matrix",
      "topics": [
        "PSSMCOOL-package"
      ]
    },
    {
      "page": "AATP_TPCC",
      "title": "AATP_TPC feature vector",
      "topics": [
        "AATP_TPCC"
      ]
    },
    {
      "page": "AB_PSSM",
      "title": "AB-PSSM and RPM-PSSM feature vector",
      "topics": [
        "AB_PSSM"
      ]
    },
    {
      "page": "Averag_Block",
      "title": "Averag Block feature vector",
      "topics": [
        "Averag_Block"
      ]
    },
    {
      "page": "consunsus_sequence",
      "title": "consunsus_sequence",
      "topics": [
        "consunsus_sequence"
      ]
    },
    {
      "page": "CS_PSe_PSSM",
      "title": "CSP-SegPseP-SegACP feature vector",
      "topics": [
        "CS_PSe_PSSM"
      ]
    },
    {
      "page": "DFMCA_PSSM",
      "title": "DMACA-PSSM feature",
      "topics": [
        "DFMCA_PSSM"
      ]
    },
    {
      "page": "Discrete_Cosine_Transform",
      "title": "Discrete Cosin Transform Feature",
      "topics": [
        "Discrete_Cosine_Transform"
      ]
    },
    {
      "page": "disulfid",
      "title": "Disulfide connectivity feature",
      "topics": [
        "disulfid"
      ]
    },
    {
      "page": "DP_PSSM",
      "title": "DP_PSSM feature vector",
      "topics": [
        "DP_PSSM"
      ]
    },
    {
      "page": "DPC_PSSM",
      "title": "DPC-PSSM,AAC-PSSM and AADP-PSSM feature vectors",
      "topics": [
        "DPC_PSSM"
      ]
    },
    {
      "page": "dwt_PSSM",
      "title": "discrete wavelet transform feature vector",
      "topics": [
        "dwt_PSSM"
      ]
    },
    {
      "page": "EDP_MEDP",
      "title": "EDP_EEDP_MEDP feature vector",
      "topics": [
        "EDP_MEDP"
      ]
    },
    {
      "page": "FPSSM",
      "title": "D-FPSSM and SF-PSSM feature vectors",
      "topics": [
        "FPSSM"
      ]
    },
    {
      "page": "FPSSM2",
      "title": "Mixture of Two FPSSM Features",
      "topics": [
        "FPSSM2"
      ]
    },
    {
      "page": "grey_pssm_pseAAC",
      "title": "grey pssm feature vector",
      "topics": [
        "grey_pssm_pseAAC"
      ]
    },
    {
      "page": "k_mers",
      "title": "3-mer and 2-mer in dataframe",
      "topics": [
        "k_mers"
      ]
    },
    {
      "page": "k_seperated_bigrame",
      "title": "k_seperated_bigrame feature vector",
      "topics": [
        "k_seperated_bigrame"
      ]
    },
    {
      "page": "kiderafactor",
      "title": "kiderafactor feature",
      "topics": [
        "kiderafactor"
      ]
    },
    {
      "page": "LPC_PSSM",
      "title": "Linear predictive coding feature",
      "topics": [
        "LPC_PSSM"
      ]
    },
    {
      "page": "MBMGACPSSM",
      "title": "MBMGACPSSM feature",
      "topics": [
        "MBMGACPSSM"
      ]
    },
    {
      "page": "pse_pssm",
      "title": "pseudo position-specific scoring matrix feature",
      "topics": [
        "pse_pssm"
      ]
    },
    {
      "page": "pssm_ac",
      "title": "auto covariance transformation feature vector",
      "topics": [
        "pssm_ac"
      ]
    },
    {
      "page": "pssm_cc",
      "title": "Cross covarianse feature vector",
      "topics": [
        "pssm_cc"
      ]
    },
    {
      "page": "PSSM_SD",
      "title": "PSSM-SD feature",
      "topics": [
        "PSSM_SD"
      ]
    },
    {
      "page": "pssm_seg",
      "title": "PSSM-Seg feature vector",
      "topics": [
        "pssm_seg"
      ]
    },
    {
      "page": "pssm400",
      "title": "PSSM400 feature",
      "topics": [
        "pssm400"
      ]
    },
    {
      "page": "PSSMAC",
      "title": "PSSMAC feature",
      "topics": [
        "PSSMAC"
      ]
    },
    {
      "page": "PSSMBLOCK",
      "title": "PSSM BLOCK feature vector",
      "topics": [
        "PSSMBLOCK"
      ]
    },
    {
      "page": "rpssm",
      "title": "RPSSM feature",
      "topics": [
        "rpssm"
      ]
    },
    {
      "page": "scsh2",
      "title": "SCSH Feature vector",
      "topics": [
        "scsh2"
      ]
    },
    {
      "page": "single_Average",
      "title": "single Average feature",
      "topics": [
        "single_Average"
      ]
    },
    {
      "page": "smoothed_PSSM",
      "title": "smoothed PSSM feature",
      "topics": [
        "smoothed_PSSM"
      ]
    },
    {
      "page": "SOMA_PSSM",
      "title": "SOMA PSSM Feature",
      "topics": [
        "SOMA_PSSM"
      ]
    },
    {
      "page": "SVD_PSSM",
      "title": "Singular Value Decomposition (SVD)",
      "topics": [
        "SVD_PSSM"
      ]
    },
    {
      "page": "three_mer",
      "title": "3-Mer and 2-Mer",
      "topics": [
        "three_mer"
      ]
    },
    {
      "page": "trigrame_pssm",
      "title": "trigrame feature vector",
      "topics": [
        "trigrame_pssm"
      ]
    }
  ],
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