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Updated: May 10, 2026

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
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gSELECT:一个新的预分析机器学习库,可以在单细胞数据中进行早期假设测试和预测基因选择

Deniz Caliskan1, Aylin Caliskan1, Thomas Dandekar1

  • 1Department of Bioinformatics, Biocenter, University of Würzburg, Am Hubland, Würzburg D-97074, Germany.

Computational and structural biotechnology journal
|August 18, 2025
PubMed
概括

gSELECT是一个新的Python库,用于评估基因组,使用基因表达数据对生物条件进行分类. 它允许基于假设的测试,并在广泛的下游分析之前评估候选基因.

关键词:
缩小尺寸的缩小方式可解释的人工智能基因组合 基因组合生成性AI是一种人工智能.机器学习 机器学习优先考虑基因.转录组 转录组就是一个转录组.

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Genetic Screens02:46

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...