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DataSheet3_Quantifying spatial CXCL9 distribution with imag..:

Xi Cao ; Yu Song ; Huanwen Wu...
doi:10.3389/fgene.2024.1421573.s003. , 2024

Link: https://doi.org/10.3389/fgene.2024.1421573.s003

RT Journal
T1 <Title>DataSheet3_Quantifying spatial CXCL9 distribution with image analysis predicts improved prognosis of triple-negative breast cancer.ZIP</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftfrontimediafig:oai:figshare.com:article_26054917&Exemplar=1&LAN=DE
				
A1 Xi Cao
A1 Yu Song
A1 Huanwen Wu
A1 Xinyu Ren
A1 Qiang Sun
A1 Zhiyong Liang
YR 2024
K1 Genetics
K1 Genetic Engineering
K1 Biomarkers
K1 Developmental Genetics (incl. Sex Determination)
K1 Epigenetics (incl. Genome Methylation and Epigenomics)
K1 Gene Expression (incl. Microarray and other genome-wide approaches)
K1 Genome Structure and Regulation
K1 Genomics
K1 Genetically Modified Animals
K1 Livestock Cloning
K1 Gene and Molecular Therapy
K1 CXCL9
K1 triple-negative breast cancer
K1 computational image analysis
K1 prognosis
K1 immune checkpoint
JF doi:10.3389/fgene.2024.1421573.s003
LK http://dx.doi.org/https://doi.org/10.3389/fgene.2024.1421573.s003
DO https://doi.org/10.3389/fgene.2024.1421573.s003
SF ELIB - SuUB Bremen

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