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  "Title": "LncRNA Identification and Analysis Using Heterologous Features",
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  "Authors@R": "c(\nperson(family = \"Han\", given = \"Siyu\", email = \"siyu.han@tum.de\", role = c(\"aut\", \"cre\")),\nperson(family = \"Li\", given = \"Ying\", email = \"liying@jlu.edu.cn\", role = \"aut\"),\nperson(family = \"Liang\", given = \"Yanchun\", role = \"aut\"))",
  "Maintainer": "Siyu Han <siyu.han@tum.de>",
  "Acknowledgments": "CHENG Ming, FAN Linrui, GUO Yuan, LI Yaolong, SUN\nYing, WANG Ruoyu",
  "Description": "Long non-coding RNAs identification and analysis. Default\nmodels are trained with human, mouse and wheat datasets by\nemploying SVM. Features are based on intrinsic composition of\nsequence, EIIP value (electron-ion interaction\npseudopotential), and secondary structure. This package can\nalso extract other classic features and build new classifiers.\nReference: Han S., et al. (2019) <doi:10.1093/bib/bby065>.",
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