Screening and validation of long non-coding RNAs associated with colorectal cancer based on random forest and LASSO regression algorithm

Screening and validation of long non-coding RNAs associated with colorectal cancer based on random forest and LASSO regression algorithm

Abstract Objective Colorectal cancer (CRC) ranks as the third most prevalent contributor to global disease burden and represents the second highest mortality rate among all malignancies worldwide. Long non-coding RNAs (lncRNAs) are a new class of regulatory RNAs, which play a crucial role in the occ...

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Bibliographic Details
Main Authors: Yujia Zhao, Qian Li, Xintong Cui, Zhiyu Zhang, Yong You, Xiaowen Hou, Yan Wang, Xu Feng
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Discover Oncology
Subjects:
Colorectal cancer
Long non-coding RNA
Random forest (RF)
Least absolute shrinkage and selection operator (LASSO)
Online Access:https://doi.org/10.1007/s12672-025-03048-3
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https://doi.org/10.1007/s12672-025-03048-3

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