Package: MantaID
Title: A Machine-Learning Based Tool to Automate the Identification of
        Biological Database IDs
Version: 1.0.4
Authors@R: 
    c(person("Zhengpeng", "Zeng",email = "molaison@foxmail.com", role = c("aut","cre","ctb"),comment = c(ORCID = "0000-0001-7919-209X")),
    person("Longfei","Mao",email = "longfeimao99@gmail.com",role = c("aut","cph"),comment = c(ORCID = "0000-0003-0759-0501")),
    person("Feng","Yu",email = "feng_yu@hnu.edu.cn",role = c("aut"), comment = c(ORCID = "0000-0002-5221-281X")),
    person("Jiamin","Hu",email = "Jiamin-Hu@hotmail.com",role = c("ctb"), comment = c(ORCID = "0000-0003-3030-2117")),
    person("Xiting","Wang",email = "XitingWang2023@outlook.com",role = c("ctb"), comment = c(ORCID = "0009-0009-5235-0006")))
Description: The number of biological databases is growing rapidly, but
        different databases use different IDs to refer to the same
        biological entity. The inconsistency in IDs impedes the
        integration of various types of biological data. To resolve the
        problem, we developed 'MantaID', a data-driven,
        machine-learning based approach that automates identifying IDs
        on a large scale. The 'MantaID' model's prediction accuracy was
        proven to be 99%, and it correctly and effectively predicted
        100,000 ID entries within two minutes. 'MantaID' supports the
        discovery and exploitation of ID patterns from large quantities
        of databases. (e.g., up to 542 biological databases). An
        easy-to-use freely available open-source software R package, a
        user-friendly web application, and API were also developed for
        'MantaID' to improve applicability. To our knowledge, 'MantaID'
        is the first tool that enables an automatic, quick, accurate,
        and comprehensive identification of large quantities of IDs,
        and can therefore be used as a starting point to facilitate the
        complex assimilation and aggregation of biological data across
        diverse databases.
License: GPL (>= 3)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Suggests:
Depends: R (>= 4.4.0),biomaRt,xgboost,caret, data.table, dplyr,
        ggplot2,
        keras,magrittr,mlr3tuning,mlr3,mlr3learners,purrr,reshape2,scutr,
        stringr, tibble,
        tidyr,tidyselect,paradox,RColorBrewer,ggcorrplot,ranger,rpart,mlr3hyperband
LazyData: true
URL: https://molaison.github.io/MantaID/
Config/pak/sysreqs: libglpk-dev make libicu-dev libpng-dev libxml2-dev
        libssl-dev python3 zlib1g-dev
Repository: https://molaison.r-universe.dev
Date/Publication: 2024-09-18 09:16:30 UTC
RemoteUrl: https://github.com/molaison/mantaid
RemoteRef: HEAD
RemoteSha: 1b1adb3c7aca9749cd601f43640fd9fa4e10a67a
NeedsCompilation: no
Packaged: 2026-07-13 07:07:25 UTC; root
Author: Zhengpeng Zeng [aut, cre, ctb] (ORCID:
    <https://orcid.org/0000-0001-7919-209X>),
  Longfei Mao [aut, cph] (ORCID: <https://orcid.org/0000-0003-0759-0501>),
  Feng Yu [aut] (ORCID: <https://orcid.org/0000-0002-5221-281X>),
  Jiamin Hu [ctb] (ORCID: <https://orcid.org/0000-0003-3030-2117>),
  Xiting Wang [ctb] (ORCID: <https://orcid.org/0009-0009-5235-0006>)
Maintainer: Zhengpeng Zeng <molaison@foxmail.com>