Hierarchical classification-based pan-cancer methylation analysis to classify primary cancer
Abstract Hierarchical classification offers a more specific categorization of data and breaks down large classification problems into subproblems, providing improved prediction accuracy and predictive power for undefined categories, while also mitigating the impact of poor-quality data. Despite thes...
Main Authors: | Youpeng Yang, Qiuhong Zeng, Gaotong Liu, Shiyao Zheng, Tianyang Luo, Yibin Guo, Jia Tang, Yi Huang |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2023-12-01
|
Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12859-023-05529-0 |
Similar Items
-
Large Scale Hierarchical Classification
by: Adarsh Khalique, et al.
Published: (2013-12-01) -
The Hierarchical Classifier for COVID-19 Resistance Evaluation
by: Nataliya Shakhovska, et al.
Published: (2021-01-01) -
GrpClassifierEC: a novel classification approach based on the ensemble clustering space
by: Loai Abdallah, et al.
Published: (2020-02-01) -
Hierarchical Phoneme Classification for Improved Speech Recognition
by: Donghoon Oh, et al.
Published: (2021-01-01) -
Classification and Prognosis Analysis of Pancreatic Cancer Based on DNA Methylation Profile and Clinical Information
by: Xin Li, et al.
Published: (2022-10-01)