{
  "_id": "6a153775acfb0bcc41d4faac",
  "Package": "pubmed.mineR",
  "Type": "Package",
  "Title": "Text Mining of PubMed Abstracts",
  "Version": "1.0.21",
  "Date": "2024-09-06",
  "Authors@R": "c(person(given = \"Jyoti\",\nfamily = \"Rani\",\nrole = \"aut\"),\nperson(family = \"S.Ramachandran\",\nrole = \"aut\"),\nperson(given = c(\"Ab\", \"Rauf\"),\nfamily = \"Shah\",\nrole = \"aut\"),\nperson(given = \"S.\",\nfamily = \"Ramachandran\",\nrole = \"cre\",\nemail = \"ramuigib@gmail.com\"))",
  "Maintainer": "S. Ramachandran <ramuigib@gmail.com>",
  "Description": "Text mining of PubMed Abstracts (text and XML) from\n<https://pubmed.ncbi.nlm.nih.gov/>.",
  "Collate": "'Abstracts-class.R' 'HGNC-class.R' 'Yearwise.R' 'Genewise.R'\n'combineabs.R' 'gene_atomization.R' 'Find_conclusion.R'\n'getabs.R' 'getabsT.R' 'gethgnc.R' 'ready.R' 'readabs.R'\n'removeabs.R' 'searchabsL.R' 'searchabsT.R' 'sendabs.R'\n'subabs.R' 'cleanabs.R' 'word_atomizations.R' 'SentenceToken.R'\n'contextSearch.R' 'uniprotfun.R' 'local_uniprotfun.R'\n'tdm_for_lsa.R' 'printabs.R' 'pubtator_function.R'\n'cos_sim_calc.R' 'cos_sim_calc_boot.R' 'wordscluster.R'\n'whichcluster.R' 'wordsclusterview.R' 'find_intro_conc_html.R'\n'cluster_words.R' 'get_original_term.R' 'get_original_term2.R'\n'input_for_find_intro_conc_html.R' 'xmlreadabs.R'\n'xmlword_atomizations.R' 'xmlgene_atomizations.R'\n'pubtator_result_list_to_table.R' 'genes_BWI.R' 'BWI.R'\n'currentabs_fn.R' 'previousabs_fn.R' 'altnamesfun.R'\n'subsetabs.R' 'prevsymbol_fn.R' 'alias_fn.R' 'get_NMids.R'\n'get_PMCIDS.R' 'get_PMCtable.R' 'get_Sequences.R'\n'Give_Sentences_PMC.R' 'head_abbrev.R' 'names_fn.R'\n'official_fn.R' 'pmids_to_abstracts.R' 'get_gene_sentences.R'\n'Give_Sentences.R' 'get_MedlinePlus.R' 'co_occurrence_fn.R'\n'space_quasher.R' 'readabsnew.R' 'word_associations.R'\n'get_DOIs.R' 'additional_info.R' 'new_xmlreadabs.R'\n'pubtator_function_JSON.R' 'xmlgene_atomizations_new.R'\n'co_occurrence_advance.R' 'pubtator3_function.R'",
  "License": "GPL-3",
  "LazyLoad": "true",
  "LazyData": "true",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-26 05:59:17 UTC",
    "User": "root"
  },
  "Author": "Jyoti Rani [aut], S.Ramachandran [aut], Ab Rauf Shah [aut], S.\nRamachandran [cre]",
  "Config/pak/sysreqs": "make libxml2-dev",
  "Repository": "https://ramuigibnew.r-universe.dev",
  "Date/Publication": "2024-09-09 02:57:10 UTC",
  "RemoteUrl": "https://github.com/cran/pubmed.mineR",
  "RemoteRef": "HEAD",
  "RemoteSha": "fda200ef9d555102b83fcdcb260443f4549b8743",
  "MD5sum": "ef383f626657452317cb786422979207",
  "_user": "ramuigibnew",
  "_type": "src",
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  "_created": "2026-05-26T05:59:17.000Z",
  "_published": "2026-05-26T06:02:29.122Z",
  "_distro": "noble",
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  "_buildurl": "https://github.com/r-universe/ramuigibnew/actions/runs/26435071246",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/pubmed.mineR",
  "_commit": {
    "id": "fda200ef9d555102b83fcdcb260443f4549b8743",
    "author": "S. Ramachandran <ramuigib@gmail.com>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.0.21\n",
    "time": 1725850630
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    "email": "ramuigib@gmail.com",
    "login": "ramuigibnew",
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    "uuid": 224242418
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  "_dependencies": [
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      "package": "R",
      "version": ">= 3.5.0",
      "role": "Depends"
    },
    {
      "package": "methods",
      "role": "Depends"
    },
    {
      "package": "RCurl",
      "role": "Imports"
    },
    {
      "package": "XML",
      "role": "Imports"
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    {
      "package": "boot",
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    {
      "package": "R2HTML",
      "role": "Imports"
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    {
      "package": "RJSONIO",
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  "_owner": "cran",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 6,
  "_contributors": [
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      "user": "ramuigibnew",
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  "_downloads": {
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/pubmed.mineR"
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  "_searchresults": 95,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/pubmed.mineR.html",
    "manual.pdf"
  ],
  "_realowner": "ramuigibnew",
  "_cranurl": false,
  "_releases": [
    {
      "version": "1.0",
      "date": "2014-03-13"
    },
    {
      "version": "1.0.1",
      "date": "2014-03-18"
    },
    {
      "version": "1.0.2",
      "date": "2014-08-26"
    },
    {
      "version": "1.0.2.1",
      "date": "2014-12-20"
    },
    {
      "version": "1.0.3",
      "date": "2014-12-26"
    },
    {
      "version": "1.0.3.1",
      "date": "2015-02-06"
    },
    {
      "version": "1.0.4",
      "date": "2015-06-24"
    },
    {
      "version": "1.0.5",
      "date": "2016-02-18"
    },
    {
      "version": "1.0.6",
      "date": "2017-01-04"
    },
    {
      "version": "1.0.7",
      "date": "2017-01-05"
    },
    {
      "version": "1.0.8",
      "date": "2017-02-09"
    },
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      "date": "2017-04-25"
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      "date": "2017-07-03"
    },
    {
      "version": "1.0.11",
      "date": "2017-09-12"
    },
    {
      "version": "1.0.12",
      "date": "2018-04-12"
    },
    {
      "version": "1.0.13",
      "date": "2018-08-17"
    },
    {
      "version": "1.0.14",
      "date": "2019-02-12"
    },
    {
      "version": "1.0.15",
      "date": "2019-05-06"
    },
    {
      "version": "1.0.16",
      "date": "2019-07-23"
    },
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      "date": "2021-01-07"
    },
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      "version": "1.0.18",
      "date": "2021-07-26"
    },
    {
      "version": "1.0.19",
      "date": "2021-11-26"
    },
    {
      "version": "1.0.20",
      "date": "2024-04-08"
    },
    {
      "version": "1.0.21",
      "date": "2024-09-08"
    }
  ],
  "_exports": [
    "additional_info",
    "alias_fn",
    "altnamesfun",
    "BWI",
    "cleanabs",
    "cluster_words",
    "co_occurrence_advance",
    "co_occurrence_fn",
    "combineabs",
    "contextSearch",
    "cos_sim_calc",
    "cos_sim_calc_boot",
    "currentabs_fn",
    "Find_conclusion",
    "find_intro_conc_html",
    "gene_atomization",
    "genes_BWI",
    "Genewise",
    "get_DOIs",
    "get_gene_sentences",
    "get_MedlinePlus",
    "get_NMids",
    "get_original_term",
    "get_original_term2",
    "get_PMCIDS",
    "get_PMCtable",
    "get_Sequences",
    "getabs",
    "getabsT",
    "Give_Sentences",
    "Give_Sentences_PMC",
    "head_abbrev",
    "input_for_find_intro_conc_html",
    "local_uniprotfun",
    "names_fn",
    "new_xmlreadabs",
    "official_fn",
    "pmids_to_abstracts",
    "previousabs_fn",
    "prevsymbol_fn",
    "printabs",
    "pubtator_function",
    "pubtator_function_JSON",
    "pubtator_result_list_to_table",
    "pubtator3_function",
    "readabs",
    "readabsnew",
    "ready",
    "removeabs",
    "searchabsL",
    "searchabsT",
    "sendabs",
    "SentenceToken",
    "space_quasher",
    "subabs",
    "subsetabs",
    "tdm_for_lsa",
    "uniprotfun",
    "whichcluster",
    "word_associations",
    "word_atomizations",
    "wordscluster",
    "wordsclusterview",
    "xmlgene_atomizations",
    "xmlgene_atomizations_new",
    "xmlreadabs",
    "xmlword_atomizations",
    "Yearwise"
  ],
  "_datasets": [
    {
      "name": "common_words_new",
      "title": "R Data containing words which frequently in text",
      "object": "common_words_new",
      "class": [
        "character"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "GeneToEntrez",
      "title": "Data containing Entrez Ids",
      "object": "GeneToEntrez",
      "class": [
        "data.frame"
      ],
      "fields": [
        "V1",
        "V2"
      ],
      "rows": 21116,
      "table": true,
      "tojson": true
    },
    {
      "name": "HGNC2UniprotID",
      "title": "R Data containing HGNC2UniprotID data mapping.",
      "object": "HGNC2UniprotID",
      "class": [
        "data.frame"
      ],
      "fields": [
        "From",
        "To"
      ],
      "rows": 67042,
      "table": true,
      "tojson": true
    },
    {
      "name": "HGNCdata",
      "title": "R Data containing HGNC data.",
      "object": "HGNCdata",
      "class": [
        "data.table",
        "data.frame"
      ],
      "fields": [
        "hgnc_id",
        "symbol",
        "name"
      ],
      "rows": 42368,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "Abstracts-class",
      "title": "Class '\"Abstracts\"' Abstract Class",
      "topics": [
        "Abstracts-class"
      ]
    },
    {
      "page": "additional_info",
      "title": "To extract sentences with nultiple keywords from Abstracts",
      "topics": [
        "additional_info"
      ]
    },
    {
      "page": "alias_fn",
      "title": "To extract sentences containing Alias of the Human Genes from Pubmed abstracts.",
      "topics": [
        "alias_fn"
      ]
    },
    {
      "page": "altnamesfun",
      "title": "To Get Alternative names of Genes",
      "topics": [
        "altnamesfun"
      ]
    },
    {
      "page": "BWI",
      "title": "To obtain the Buzz Word Index of terms from the Abstracts.",
      "topics": [
        "BWI"
      ]
    },
    {
      "page": "cleanabs",
      "title": "To clean the result of searchabsL",
      "topics": [
        "cleanabs"
      ]
    },
    {
      "page": "cleanabs-methods",
      "title": "Methods for Function 'cleanabs'",
      "topics": [
        "cleanabs,Abstracts-method",
        "cleanabs-methods"
      ]
    },
    {
      "page": "cluster_words",
      "title": "To Find the highest frequency of words within clusters",
      "topics": [
        "cluster_words"
      ]
    },
    {
      "page": "co_occurrence_advance",
      "title": "Extracts multiple sentence with co-occurrence of two sets of terms)",
      "topics": [
        "co_occurrence_advance"
      ]
    },
    {
      "page": "co_occurrence_fn",
      "title": "Extracts sentences with co-occurrence of two sets of terms",
      "topics": [
        "co_occurrence_fn"
      ]
    },
    {
      "page": "combineabs",
      "title": "To combine the abstracts",
      "topics": [
        "combineabs"
      ]
    },
    {
      "page": "combineabs-methods",
      "title": "'Abstracts' Method to Combine Abstracts",
      "topics": [
        "combineabs,Abstracts-method",
        "combineabs-methods"
      ]
    },
    {
      "page": "common_words_new",
      "title": "R Data containing words which frequently in text",
      "topics": [
        "common_words_new"
      ]
    },
    {
      "page": "contextSearch",
      "title": "For Context Search",
      "topics": [
        "contextSearch"
      ]
    },
    {
      "page": "contextSearch-methods",
      "title": "Method for Context Search",
      "topics": [
        "contextSearch,Abstracts-method",
        "contextSearch-methods"
      ]
    },
    {
      "page": "cos_sim_calc",
      "title": "To calculate the cosine similarity between terms.",
      "topics": [
        "cos_sim_calc"
      ]
    },
    {
      "page": "cos_sim_calc_boot",
      "title": "Cosine Similarity Calculation by Boot Strapping",
      "topics": [
        "cos_sim_calc_boot"
      ]
    },
    {
      "page": "currentabs_fn",
      "title": "To Retrive the Abstracts for year.",
      "topics": [
        "currentabs_fn"
      ]
    },
    {
      "page": "Find_conclusion",
      "title": "To find the conclusion from the abstract(s).",
      "topics": [
        "Find_conclusion"
      ]
    },
    {
      "page": "find_intro_conc_html",
      "title": "To find the introduction and conclusion from the abstracts.",
      "topics": [
        "find_intro_conc_html"
      ]
    },
    {
      "page": "gene_atomization",
      "title": "To Extract Genes from the Abstracts",
      "topics": [
        "gene_atomization"
      ]
    },
    {
      "page": "genes_BWI",
      "title": "Function to obtain the Buzz Word Index of Genes from the abstracts.",
      "topics": [
        "genes_BWI"
      ]
    },
    {
      "page": "GeneToEntrez",
      "title": "Data containing Entrez Ids",
      "topics": [
        "GeneToEntrez"
      ]
    },
    {
      "page": "Genewise",
      "title": "To Search the number of abstracts for Genes",
      "topics": [
        "Genewise"
      ]
    },
    {
      "page": "Genewise-methods",
      "title": "method to find the abstracts for the given gene.",
      "topics": [
        "Genewise,Abstracts-method",
        "Genewise-methods"
      ]
    },
    {
      "page": "get_DOIs",
      "title": "function for extracting Digital Object Identifier (DOIs) of papers",
      "topics": [
        "get_DOIs"
      ]
    },
    {
      "page": "get_gene_sentences",
      "title": "To extract the sentences for genes from the corpus.",
      "topics": [
        "get_gene_sentences"
      ]
    },
    {
      "page": "get_MedlinePlus",
      "title": "To Get MedLinePlus Summary",
      "topics": [
        "get_MedlinePlus"
      ]
    },
    {
      "page": "get_NMids",
      "title": "To extract NM ids from NCBI.",
      "topics": [
        "get_NMids"
      ]
    },
    {
      "page": "get_original_term",
      "title": "To get the original terms from the corpus. deprecated",
      "topics": [
        "get_original_term"
      ]
    },
    {
      "page": "get_original_term2",
      "title": "To get the original terms from the corpus.",
      "topics": [
        "get_original_term2"
      ]
    },
    {
      "page": "get_PMCIDS",
      "title": "To extract the PMC Ids of the abstracts.",
      "topics": [
        "get_PMCIDS"
      ]
    },
    {
      "page": "get_PMCtable",
      "title": "To fetch the given PMC article tables. Deprecated",
      "topics": [
        "get_PMCtable"
      ]
    },
    {
      "page": "get_Sequences",
      "title": "To extract the Gene sequence from the NCBI.",
      "topics": [
        "get_Sequences"
      ]
    },
    {
      "page": "getabs",
      "title": "To get Abstracts for a given term.",
      "topics": [
        "getabs"
      ]
    },
    {
      "page": "getabs-methods",
      "title": "'getabs' To Get abstracts for a term",
      "topics": [
        "getabs,Abstracts-method",
        "getabs-methods"
      ]
    },
    {
      "page": "getabsT",
      "title": "To get Abstracts for a given term.",
      "topics": [
        "getabsT"
      ]
    },
    {
      "page": "getabsT-methods",
      "title": "To Get Abstracts",
      "topics": [
        "getabsT,Abstracts-method",
        "getabsT-methods"
      ]
    },
    {
      "page": "Give_Sentences",
      "title": "To extract sentences from the Abstracts",
      "topics": [
        "Give_Sentences"
      ]
    },
    {
      "page": "Give_Sentences_PMC",
      "title": "To fetch the sentence from the PMC full text article",
      "topics": [
        "Give_Sentences_PMC"
      ]
    },
    {
      "page": "head_abbrev",
      "title": "To extract the abbreviated term.",
      "topics": [
        "head_abbrev"
      ]
    },
    {
      "page": "HGNC-class",
      "title": "HGNC Class for package.",
      "topics": [
        "HGNC-class"
      ]
    },
    {
      "page": "HGNC2UniprotID",
      "title": "R Data containing HGNC2UniprotID data mapping.",
      "topics": [
        "HGNC2UniprotID"
      ]
    },
    {
      "page": "HGNCdata",
      "title": "R Data containing HGNC data.",
      "topics": [
        "HGNCdata"
      ]
    },
    {
      "page": "input_for_find_intro_conc_html",
      "title": "fetch the abstracts using E-utilities.",
      "topics": [
        "input_for_find_intro_conc_html"
      ]
    },
    {
      "page": "local_uniprotfun",
      "title": "To Get Information from Uniprot.",
      "topics": [
        "local_uniprotfun"
      ]
    },
    {
      "page": "names_fn",
      "title": "To extract the sentences in asbtracts containing gene names from HGNC.",
      "topics": [
        "names_fn"
      ]
    },
    {
      "page": "new_xmlreadabs",
      "title": "To read the abstracts from the PubMed saved in XML format.",
      "topics": [
        "new_xmlreadabs"
      ]
    },
    {
      "page": "official_fn",
      "title": "To extract the sentences containing official gene symbol from abstracts.",
      "topics": [
        "official_fn"
      ]
    },
    {
      "page": "pmids_to_abstracts",
      "title": "To Find and match the PMIDs to the abstracts.",
      "topics": [
        "pmids_to_abstracts"
      ]
    },
    {
      "page": "previousabs_fn",
      "title": "To Retrieve the Abstracts from the large corpus for given years.",
      "topics": [
        "previousabs_fn"
      ]
    },
    {
      "page": "prevsymbol_fn",
      "title": "To extract the sentences containing Previous symbols of HGNC genes.",
      "topics": [
        "prevsymbol_fn"
      ]
    },
    {
      "page": "printabs",
      "title": "To prind the total number of abstracts in an S4 object of class Abstracts , its start and end",
      "topics": [
        "printabs"
      ]
    },
    {
      "page": "pubtator_function",
      "title": "function for text annotation using PubTator.Deprecated.",
      "topics": [
        "pubtator_function"
      ]
    },
    {
      "page": "pubtator_function_JSON",
      "title": "function for text annotation using PubTator",
      "topics": [
        "pubtator_function_JSON"
      ]
    },
    {
      "page": "pubtator_result_list_to_table",
      "title": "Function to Convert Pubtator result from list into Table",
      "topics": [
        "pubtator_result_list_to_table"
      ]
    },
    {
      "page": "pubtator3_function",
      "title": "function for text annotation using PubTator",
      "topics": [
        "pubtator3_function"
      ]
    },
    {
      "page": "readabs",
      "title": "To read Abstracts",
      "topics": [
        "readabs"
      ]
    },
    {
      "page": "readabsnew",
      "title": "To read Abstracts",
      "topics": [
        "readabsnew"
      ]
    },
    {
      "page": "ready",
      "title": "To Initiate the Classes.",
      "topics": [
        "ready"
      ]
    },
    {
      "page": "removeabs",
      "title": "To remove abstracts for the query term.",
      "topics": [
        "removeabs"
      ]
    },
    {
      "page": "removeabs-methods",
      "title": "'removeabs' To remove abstracts of a term from the data.",
      "topics": [
        "removeabs,Abstracts-method",
        "removeabs-methods"
      ]
    },
    {
      "page": "searchabsL",
      "title": "To Search the abstracts of term(s) in a combination mode.",
      "topics": [
        "searchabsL"
      ]
    },
    {
      "page": "searchabsL-methods",
      "title": "Searching Abstracts",
      "topics": [
        "searchabsL,Abstracts-method",
        "searchabsL-methods"
      ]
    },
    {
      "page": "searchabsT",
      "title": "To Search Abstracts",
      "topics": [
        "searchabsT"
      ]
    },
    {
      "page": "searchabsT-methods",
      "title": "'searchabsT' Searching abstracts",
      "topics": [
        "searchabsT,Abstracts-method",
        "searchabsT-methods"
      ]
    },
    {
      "page": "sendabs",
      "title": "To send abstracts",
      "topics": [
        "sendabs"
      ]
    },
    {
      "page": "sendabs-methods",
      "title": "To send the Data into a File",
      "topics": [
        "sendabs,Abstracts-method",
        "sendabs-methods"
      ]
    },
    {
      "page": "SentenceToken",
      "title": "To Tokenize the sentences",
      "topics": [
        "SentenceToken"
      ]
    },
    {
      "page": "space_quasher",
      "title": "Removes extra spaces between words.",
      "topics": [
        "space_quasher"
      ]
    },
    {
      "page": "subabs",
      "title": "To find sub-abstracts",
      "topics": [
        "subabs"
      ]
    },
    {
      "page": "subabs-methods",
      "title": "Getting subabstracts",
      "topics": [
        "subabs,Abstracts-method",
        "subabs-methods"
      ]
    },
    {
      "page": "subsetabs",
      "title": "To make subsets of large corpus.",
      "topics": [
        "subsetabs"
      ]
    },
    {
      "page": "subsetabs-methods",
      "title": "To make subset of Abstracts.",
      "topics": [
        "subsetabs,Abstracts-method",
        "subsetabs-methods"
      ]
    },
    {
      "page": "tdm_for_lsa",
      "title": "create Term Document Matrix for lsa analysis",
      "topics": [
        "tdm_for_lsa"
      ]
    },
    {
      "page": "uniprotfun",
      "title": "To get information about gene from the UniProt.Deprecated.",
      "topics": [
        "uniprotfun"
      ]
    },
    {
      "page": "whichcluster",
      "title": "To fetch the cluster for words",
      "topics": [
        "whichcluster"
      ]
    },
    {
      "page": "word_associations",
      "title": "Extracts the words associated (to the left and to the right) with a given word",
      "topics": [
        "word_associations"
      ]
    },
    {
      "page": "word_atomizations",
      "title": "Atomization of words",
      "topics": [
        "word_atomizations"
      ]
    },
    {
      "page": "wordscluster",
      "title": "To cluster the words",
      "topics": [
        "wordscluster"
      ]
    },
    {
      "page": "wordsclusterview",
      "title": "To view the words in cluster",
      "topics": [
        "wordsclusterview"
      ]
    },
    {
      "page": "xmlgene_atomizations",
      "title": "Gene atomization of xml abstracts.Deprecated.",
      "topics": [
        "xmlgene_atomizations"
      ]
    },
    {
      "page": "xmlgene_atomizations_new",
      "title": "Gene atomization of xml abstracts.",
      "topics": [
        "xmlgene_atomizations_new"
      ]
    },
    {
      "page": "xmlreadabs",
      "title": "To read the abstracts from the PubMed saved in XML format.",
      "topics": [
        "xmlreadabs"
      ]
    },
    {
      "page": "xmlword_atomizations",
      "title": "Word atomizations of abstracts from xml format.",
      "topics": [
        "xmlword_atomizations"
      ]
    },
    {
      "page": "Yearwise",
      "title": "To Search abstracts Year wise",
      "topics": [
        "Yearwise"
      ]
    },
    {
      "page": "Yearwise-methods",
      "title": "'Yearwise' Year wise extraction of Abstracts",
      "topics": [
        "Yearwise,Abstracts-method",
        "Yearwise-methods"
      ]
    }
  ],
  "_rundeps": [
    "bitops",
    "boot",
    "R2HTML",
    "RCurl",
    "RJSONIO",
    "XML"
  ],
  "_score": 2.7558748556724915,
  "_indexed": true,
  "_nocasepkg": "pubmed.miner",
  "_universes": [
    "ramuigibnew"
  ],
  "_binaries": [
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}