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

Feature Selection for Topological Proximity Prediction of Single-Cell Transcriptomic Profiles in <i>Drosophila</i> 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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Bibliographic Details
Main Authors: Shruti Gupta, Ajay Kumar Verma, Shandar Ahmad
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Genes
Subjects:
spatial organization
single-cell RNA sequencing
gene expression pattern
<i>Drosophila</i> embryo
DREAM challenge
genetic algorithm
Online Access:https://www.mdpi.com/2073-4425/12/1/28

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https://www.mdpi.com/2073-4425/12/1/28

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