Feature Selection for Topological Proximity Prediction of Single-Cell Transcriptomic Profiles in Drosophila Embryo Using Genetic Algorithm

Single-cell transcriptomics data, when combined with in situ hybridization patterns of specific genes, can help in recovering the spatial information lost during cell isolation. Dialogue for Reverse Engineering Assessments and Methods (DREAM) consortium conducted a crowd-sourced competition known as...

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Veröffentlicht in:	Genes 2020-12, Vol.12 (1), p.28
Hauptverfasser:	Gupta, Shruti, Verma, Ajay Kumar, Ahmad, Shandar
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Animals Clustering Data analysis Datasets as Topic Drosophila Drosophila - genetics Drosophila - growth & development Embryo, Nonmammalian Embryonic Development - genetics Feature selection Gene expression Gene Expression Regulation, Developmental Gene mapping Genetic algorithms Hybridization Insects Models, Genetic Neural networks Optimization Parameter estimation Predictions RNA-Seq - methods Single-Cell Analysis - methods Traveling salesman problem
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