Feature Filtering
Feature Filtering is a data preprocessing technique in metabolomics quality control that selectively retains or removes molecular features from mass spectrometry datasets based on predefined criteria such as signal intensity, reproducibility, or detection frequency across samples to enhance data reliability and analytical performance.
142
Publications
9.7K
Citations
579
Authors
241
Institutions
Publications per year
2017–2026
73
Parents
142
An Adaptive Ensemble Machine Learning Model for Intrusion Detection
Xianwei Gao, Chun Shan, Changzhen Hu et al. · IEEE Access · 2019 · 506 citations · Full text
Non-iterative, feature-preserving mesh smoothing
Thouis R. Jones, Frédo Durand, Mathieu Desbrun · 2003 · 423 citations · Full text
Novel Unsupervised Feature Filtering of Biological Data
Roy Varshavsky, Assaf Gottlieb, Michal Linial et al. · Bioinformatics · 2006 · 337 citations · Full text
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International Institute of Information Technology, India
2 publications · 24 citations
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241

Zhejiang University
Hangzhou, China
4 h-index
13 publications
332 citations
Tongji University
Shanghai, China
3 h-index
11 publications
262 citations

Tel Aviv University
Tel Aviv, Israel
3 h-index
7 publications
846 citations
University of Science and Technology of China
Hefei, China
3 h-index
12 publications
561 citations
SLAC National Accelerator Laboratory
Menlo Park, United States
2 h-index
2 publications
242 citations
International Institute of Information Technology
Bhubaneswar, India
2 h-index
4 publications
48 citations
Stanford Synchrotron Radiation Lightsource
Menlo Park, United States
2 h-index
2 publications
242 citations
Moscow Institute of Thermal Technology
Moscow, Russia
2 h-index
4 publications
1.5K citations
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6 publications · 701 citations
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4 publications · 685 citations
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3 publications · 189 citations
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3 publications · 323 citations
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3 publications · 151 citations
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