Ensemble learning for classifying single-cell data and projection across reference atlases
收藏NIAID Data Ecosystem2026-03-11 收录
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https://www.omicsdi.org/dataset/ega/EGAS00001004283
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资源简介：
Single-cell data are being generated at an accelerating pace.How best to project data across single-cell atlases is an open problem. We developed a boosted learner that overcomes the greatest challenge with status quo classifiers: low sensitivity, especially when dealing with rare cell types.EGA study EGAS00001004283
创建时间：
2020-05-27
