Integrating single-cell transcriptomic datasets across laboratories, conditions, and technologies remains challenging because of cell type–specific batch effects and heterogeneous biological compositions. Current methods often fail to separate genuine biological variation from technical noise, misaligning distinct cell...
Yu-Chen Liu, Zi-Ying Huang, S. Lu et al.· Science Advances· 0 citations
EmitGCL is developed, a deep-learning framework to predict metastasis and related biomarkers using cancer single-cell sequencing data, enabling and validating the discovery of occult metastases and breast cancer metastasis biomarkers.
Xiaoying Wang, Maoteng Duan, Anthony J. Snyder et al.· Nature Communications· 0 citations
A niche-mimetic culture system that integrates intrinsic and extrinsic bone marrow regulatory cues, including pharmacologic inhibition of the m6A reader YTHDF2 using the small molecule Y13-27, a three-dimensional microenvironment, and N-cadherin-mediated adhesion is established that preserves transcriptional and epigen...
Xinjian Mao, Ning Zhang, Xi C. He et al.· Blood· 0 citations
Methylation of the cytosine bases of DNA as a regulator of chromatin structure and gene expression in the stems of rice supports methylation of the cytosine bases of DNA as a regulator of chromatin structure and gene expression in the stems of rice.
Niharika Nonavinakere Chandrakanth, M. McGowan, Nicolás Gaitán et al.· bioRxiv· 0 citations
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