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A deep-learning model for characterizing tumor heterogeneity using patient-derived organoids

Hanahan, D. & Weinberg, R. Hallmarks of cancer: The next generation. Cell144(5), 646–674 (2011).Article  CAS  PubMed  ...

SPEAC-seq – droplet-based functional CRISPR screening of cell–cell interactions

Cell-to-cell communication is vital for the proper functioning of tissues in our bodies. Every action, from immune responses to brain activity, involves cells “talking”...

Applying information mining technology in online entrepreneurship training course

Random sample surveyIn this study, a random sampling survey is conducted on a college, and 1080 questionnaires on curriculum design of entrepreneurship education for...

Enhancing severe hypoglycemia prediction in type 2 diabetes mellitus through multi-view co-training machine learning model for imbalanced dataset

ObjectivesThe primary objective of this study is to develop a robust ML framework to accurately predict SH events in patients with T2DM. By utilizing...

The spatial and cellular portrait of transposable element expression during gastric cancer

TE expression during the progression of gastritis to early GCThe single-cell raw sequencing data generated at the NAG (3 samples), CAG (3 samples), IM...

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