Huanming Yang

The paper identifies chromatin state regulators that influence A-to-I RNA editing frequency across species and tissues.

This study reconstructs 3D spatial transcriptomic models of planarians to map cell type distribution and positional gene regulation, identifying candidate genes involved in regeneration.

This study constructs a 4D spatiotemporal transcriptomic map of planarian regeneration using Stereo-seq, identifying dynamic gradients and an injury-induced regenerative zone.

The paper develops ACCESS, a multimodal graph neural network to annotate functional dark matter proteins from extreme environments beyond homology-based methods.

This paper benchmarks the Evo2 genomic AI model in cancer genomics, showing FP8 precision on H800 GPUs improves inference speed and accuracy, while larger models perform worse on non-FP8 hardware.

The paper creates a single-cell atlas of amniote brains to study cell type diversification and identifies species-specific gene expression patterns and novel cell subtypes.

This study uses spatiotemporal transcriptomics to analyze immune dynamics in E. multilocularis infected mouse liver, identifying key immune cell roles and shifts in immune strategy during infection.

The paper presents whole-genome sequences from 16 Himalayan populations to study population structure, adaptation, and genetic history, revealing early population divergence, shared adaptive haplotypes, and recent gene flow.

This study characterizes the urinary microbiome in 1579 Chinese individuals, identifying host factors and genetic associations that influence microbial composition and urotype classification.

This study identifies four genome-wide significant SNPs associated with GDM in Chinese women and develops an early prediction model using clinical and genetic indicators.

This study identifies 30 novel metabolite-gene associations in 34,394 Chinese pregnant women and finds pleiotropy and causal relationships between metabolites and diseases.

This study performs a large-scale genetic analysis of 104 pregnancy phenotypes in 39,194 Chinese women, identifying 407 trait-locus associations and uncovering novel genetic insights into pregnancy-related traits.

This paper proposes a model integrating deep features, radiomics features, and clinical parameters to improve gastric cancer disease-free survival prediction, achieving a 3%-5% C-index and 10% AUC improvement.

The paper constructs a synthetic disomic yeast using SCRaMbLE and a newly synthesized chromosome to study aneuploidy phenotypes, finding that both copy number and specific chromosomal regions affect fitness.

The paper uses single-cell transcriptomics to analyze cellular and molecular differences across maternal-fetal sections of the placenta, identifying key cell types and regulatory factors involved in placental development and preeclampsia.

Chord improves doublet detection in scRNA-seq by combining multiple methods, showing higher accuracy and stability across different datasets.

LOGO is a lightweight language model for interpreting non-coding regions of the human genome, achieving improved performance in promoter identification and enhancer-promoter interaction prediction.

This paper introduces a DNA-based data archiving system called Yin-Yang Codec, which achieves high recovery rates and physical information density in both in vitro and in vivo storage.

This study analyzes cell-free DNA in COVID-19 patients to show its potential for disease monitoring and tissue injury assessment.

This study uses Mendelian randomization to identify causal relationships between gut microbiome composition and blood metabolites in a Chinese cohort.

This study identifies genetic loci associated with the oral microbiome using metagenome-genome-wide association studies in over 1,915 individuals.

This study identifies and characterizes over one million urinary cell free eccDNAs in healthy adults, revealing their genomic distribution, sequence features, and potential role of direct repeats in their biogenesis.

The paper compiles and analyzes 190 marine invertebrate genomes to explore their diversity, function, and evolutionary relationships.

The paper analyzes 630 aquatic vertebrate genomes to create a compendium, revealing TE diversity and gene family evolution related to the water-to-land transition.

The paper uses Stereo-seq to map single-cell transcriptomes of axolotl telencephalon during development and regeneration, identifying a key radial glial cell subtype involved in early wound healing.

This study identifies cholesterol levels and WBC counts as causal factors for COVID-19 severity through GWAS and MR analysis, and highlights type I interferon pathways in disease mechanisms.

stLFRsv detects structural variations using co-barcoded long reads, achieving 74.2% precision and 22.3% recall for deletions in HG002/NA24385.

This paper performs M-GWAS on a Chinese cohort to identify genetic contributions to the gut microbiome and its associations with complex diseases.

This study provides genome-wide data for the Ukrainian population, identifying novel genetic variants and highlighting its unique genetic diversity.

This study analyzes whole-genome sequencing data from 332 Chinese COVID-19 patients to identify genetic variants associated with disease severity and susceptibility.