Imbalanced Phenotype Classification
Imbalanced Phenotype Classification is a supervised classification task in which the goal is to predict phenotypic labels from biological data while addressing the inherent challenge posed by highly skewed class distributions that disproportionately favor certain phenotypes over others.
4
Publications
283
Citations
25
Authors
11
Institutions
Publications per year
2017–2026
2
4
Cheng‐Hong Yang, Yu‐Da Lin, Li‐Yeh Chuang et al. · PLoS ONE · 2013 · 35 citations · Full text
Heba M. Emara, Walid El‐Shafai, Naglaa F. Soliman et al. · Frontiers in Physiology · 2025 · 10 citations · Full text
1–5 of 4
25
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 25
11
Kaohsiung Chang Gung Memorial Hospital
Kaohsiung City, Taiwan
1 h-index
1 publications
35 citations

National Kaohsiung University of Applied Sciences
Kaohsiung City, Taiwan
1 h-index
2 publications
70 citations
National Research Council
Rome, Italy
1 h-index
3 publications
297 citations
Kaohsiung Medical University
Kaohsiung City, Taiwan
1 h-index
1 publications
35 citations

University of Turin
Turin, Italy
1 h-index
8 publications
136 citations
Bennett University
Greater Noida, India
1 h-index
4 publications
528 citations
Kaohsiung Medical University Chung-Ho Memorial Hospital
Kaohsiung City, Taiwan
1 h-index
1 publications
35 citations
University of Bari Aldo Moro
Bari, Italy
1 h-index
1 publications
99 citations
1–8 of 11
1 publications · 17 citations
1
h-index
1 publications · 99 citations
1
h-index
1 publications · 35 citations
1
h-index
1 publications · 132 citations
1
h-index
1 publications · 10 citations
1–5