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Héctor Climente-González

keio university
H-index:9
Citation Count:1,071
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Sparse Minimum Redundancy Maximum Relevance for Feature Selection

稀疏最小冗余最大相关特征选择

2026-09-010
OAAI
Turning heterogeneity of statistical epistasis networks to an advantage

将统计遗传互补网络中的异质性转化为优势

2026-01-010
PRE
Interpretable machine learning leverages proteomics to improve cardiovascular disease risk prediction and biomarker identification

可解释机器学习利用蛋白质组学来改善心血管疾病风险预测和生物标志物识别

2025-05-190
OA
Network medicine-based epistasis detection in complex diseases: ready for quantum computing

复杂疾病中基于网络医学的上位检测: 为量子计算做好准备

2024-08-230
OAAI
Interpretable network-guided epistasis detection
2022-02-040
OAAI
Systematic Analysis of Splice-Site-Creating Mutations in Cancer
2018-04-01195
OAAI
FoldX accurate structural protein-DNA binding prediction using PADA1 (Protein Assisted DNA Assembly 1)
2018-03-2825
OAAI
The Functional Impact of Alternative Splicing in Cancer

选择性剪接在癌症中的功能影响

2017-08-01416
OAAI
Rescuing discarded spectra: Full comprehensive analysis of a minimal proteome
2016-02-185
PREAI