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Integrating Machine Learning and Transcriptomics to Enhance β-Carotene Production in Yeast

geo / GSE288397

Dataset

Provider: GEO
Type: bulk
Organism: Saccharomyces cerevisiae (tax 4932)
Format / file: series_matrix — GSE288397_series_matrix.txt.gz
Matrix: —
Source page: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE288397
Download URL: https://ftp.ncbi.nlm.nih.gov/geo/series/GSE288nnn/GSE288397/matrix/GSE288397_series_matrix.txt.gz

DOIs

None

PubMed IDs

None

Accessions

Not in ASAP yet.