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Many computational methods have been reported for lncRNA\u2013protein interaction prediction. However, the experimental techniques to detect lncRNA\u2013protein interactions are laborious and time-consuming. Therefore, to address this challenge, this paper proposes a reweighting boosting feature selection (RBFS) method model to select key features. Specially, a reweighted apporach can adjust the contribution of each observational samples to learning model fitting; let higher weights are given more influence samples than those with lower weights. Feature selection with boosting can efficiently rank to iterate over important features to obtain the optimal feature subset. Besides, in the experiments, the RBFS method is applied to the prediction of lncRNA\u2013protein interactions. The experimental results demonstrate that our method achieves higher accuracy and less redundancy with fewer features.<\/jats:p>","DOI":"10.1186\/s12859-023-05536-1","type":"journal-article","created":{"date-parts":[[2023,10,30]],"date-time":"2023-10-30T16:03:07Z","timestamp":1698681787000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["LncRNA\u2013protein interaction prediction with reweighted feature selection"],"prefix":"10.1186","volume":"24","author":[{"given":"Guohao","family":"Lv","sequence":"first","affiliation":[]},{"given":"Yingchun","family":"Xia","sequence":"additional","affiliation":[]},{"given":"Zhao","family":"Qi","sequence":"additional","affiliation":[]},{"given":"Zihao","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Lianggui","family":"Tang","sequence":"additional","affiliation":[]},{"given":"Cheng","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Shuai","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Qingyong","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Lichuan","family":"Gu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,10,30]]},"reference":[{"issue":"7385","key":"5536_CR1","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1038\/nature10887","volume":"482","author":"M Guttman","year":"2012","unstructured":"Guttman M, Rinn JL. 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