Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...
A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
Study finds obesity drives breast cancer invasion through a unique molecular pathway, separate from known risk factors.
Morning Overview on MSN
Men with higher levels of one amino acid may lose nearly a year of life, a study finds
Men with genetically elevated levels of phenylalanine, a common amino acid found in everyday protein-rich foods, may live ...
A method for arrayed CRISPRi screening in organoids enables the investigation of morphogenesis in human stem cell-derived tissues, revealing the roles of ZIC2, SOX11, and ZNF521 in neural tube closure ...
A new genetic screening method allows researchers to efficiently modulate individual genes across entire tissues and provides ...
As genome editing therapies move through clinical trials to regulatory approval, scientists continue the quest for the holy ...
Biopharmaceutical developers should introduce risk-based, phase-appropriate characterization strategies for quality control ...
High-resolution spatial transcriptomics and imaging-based technologies are now generating large-scale, multi-dimensional datasets that are beginning to reshape how we understand tissue organisation, ...
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