Technological advances enabling massively parallel measurement of biological features—
such as microarrays, high-throughput sequencing and mass spectrometry—have ushered in …

Generative pretrained models have achieved remarkable success in various domains such
as language and computer vision. Specifically, the combination of large-scale diverse …

Summary Background Machine Learning (ML) has demonstrated its great potential on
medical data analysis. Large datasets collected from diverse sources and settings are …

Cells are the fundamental units of biological systems and exhibit unique development
trajectories and molecular features. Our exploration of how the genomes orchestrate the …

Abstract Knowledge of the transcriptional programs underpinning the functions of human
kidney cell populations at homeostasis is limited. We present a single-cell perspective of …

Integrating multiple single‐cell datasets is essential for the comprehensive understanding of
cell heterogeneity. Batch effect is the undesired systematic variations among technologies or …

Background Klebsiella pneumoniae is a common Gram-negative bacterium. Blood infection
caused by K. pneumoniae is one of the most common causes of human sepsis, which …

Single-cell sequencing has emerged as a promising technique to decode cellular
heterogeneity and analyze gene functions. With the high throughput of modern techniques …

Abstract N6‐methyladenosine (m6A), as the most abundant and well‐studied RNA
modification, can be reversibly added or removed by m6A methyltransferase and …

Inflammation activates many blood cell types, driving aging and malignancy. Yet,
hematopoietic stem cells (HSCs) survive a lifetime of infection to sustain life-long blood …