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近期,东京大学郑银强老师组、麦吉尔大学丁俊老师组共同提出了一种针对空间转录组数据建模的方法 SUICA。相关成果以《Suica: Learning super-high dimensional sparse implicit neural representations for spatial transcriptomics》为题,入选 ICML 2025。
EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses machine learning to gain ...
Strategic partnership to deliver transcriptomics-powered, organoid-based preclinical testing for high-impact drug discovery ...
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What Is Spatial Transcriptomics?

Uncovering gene expression patterns, spatial transcriptomics bridges molecular analysis and tissue morphology, advancing research in various biological fields.
Acute liver failure (ALF) represents a life-threatening condition marked by rapid deterioration of liver function, often ...
Ovarian aging, characterized by diminishing egg reserves and quality, affects millions of women worldwide, often leading to ...
Spatial transcriptomics—or “spatial,” as it is commonly known—may help scRNA-seq finish the revolution it started.
Modern spatial transcriptomics techniques – in situ hybridization, in situ sequencing and in situ capturing. From 2006 to 2019, fewer than 100 papers were published on spatial transcriptomics annually ...
21 Aug 2022. A resolution revolution is happening to spatial transcriptomics. At this year’s Alzheimer’s Association International Conference, held July 31 to August 4 in San Diego, California, and ...
Request To Download Free Sample of This Strategic Report @ This country research report on Vietnam Spatial Genomics and Transcriptomics Market offers comprehensive insights into the market landscape, ...