Xiaosen Jiang

MetaClaw: an auditable AI agent for end-to-end, multi-directional metagenomic and multi-omics analysis

MetaClaw is an auditable AI agent that performs end-to-end metagenomic and multi-omics analysis, recovering key biological markers across multiple studies.

Genetic Transformer: An Innovative Large Language Model Driven Approach for Rapid and Accurate Identification of Causative Variants in Rare Genetic Diseases

This paper introduces Genetic Transformer (GeneT), an LLM-driven method that significantly reduces candidate variant numbers and improves recall in rare disease diagnosis.

A High-resolution Haplotype-resolved Reference Panel Constructed from the China Kadoorie Biobank Study

The paper constructs a high-resolution haplotype-resolved reference panel from the China Kadoorie Biobank study and demonstrates its superior performance in imputing microarray data compared to existing panels.

Machine learning enables accurate prediction of breast cancer five-year survival using somatic genomic variants

This study uses machine learning to predict breast cancer five-year survival using somatic genomic variants and phenotype data, achieving an AUC of 0.70 in an external dataset.

Whole-genome-based Helicobacter pylori geographic surveillance: a visualized and expandable webtool

The paper develops a webtool for whole-genome-based geographic surveillance of Helicobacter pylori, enabling high-resolution genomic typing and visualization of global isolates.

BDdb: a comprehensive platform for exploration and utilization of birth defect multi-omics data

BDdb is a database integrating multi-omics data, cfDNA data, and biomarkers for birth defects, enabling data exploration and analysis for research and clinical applications.

Single-cell transcriptomic analysis identifies neocortical developmental differences between human and mouse

The paper compares human and mouse neocortical development using scRNA-seq, finding differences in excitatory neuron trajectories and gene expression but conservation in glial and inhibitory neuron development.

Sequencing and comparative analysis of three Chlorella genomes provide insights into strain-specific adaptation to wastewater

The paper sequences and compares three Chlorella genomes to identify genetic factors contributing to wastewater tolerance and nutrient removal.