The interplay between chromatin, transcription factors and genes generates complex
regulatory circuits that can be represented as gene regulatory networks (GRNs). The study …

Deep learning is a subdiscipline of artificial intelligence that uses a machine learning
technique called artificial neural networks to extract patterns and make predictions from …

Since the official release of the stand-alone bioinformatics toolkit TBtools in 2020, its
superior functionality in data analysis has been demonstrated by its widespread adoption by …

In recent decades, with the continuous development of high‐throughput sequencing
technology, data volume in medical research has increased, at the same time, almost all …

The mammalian brain consists of millions to billions of cells that are organized into many cell
types with specific spatial distribution patterns and structural and functional properties …

Missing heritability in genome-wide association studies defines a major problem in genetic
analyses of complex biological traits,. The solution to this problem is to identify all causal …

The human gut microbiome encodes a large variety of antimicrobial peptides (AMPs), but
the short lengths of AMPs pose a challenge for computational prediction. Here we combined …

The rapid developments of high‐throughput sequencing technology in the last decade
allowed the emergence of multiomics analyses. Analytic platforms for high‐throughput omics …

Astrocytes, a type of glia, are abundant and morphologically complex cells. Here, we report
astrocyte molecular profiles, diversity, and morphology across the mouse central nervous …

The impact of apolipoprotein E ε4 (APOE4), the strongest genetic risk factor for Alzheimer's
disease (AD), on human brain cellular function remains unclear. Here, we investigated the …