Yong Hou

LucaCell is a sequence-centric foundation model that improves cross-species single-cell analysis by using mRNA sequence embeddings instead of fixed gene identifiers.

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.

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 paper introduces a probabilistic method for registering multi-modal spatial transcriptomics data and demonstrates its accuracy on synthetic and real mouse brain images.

The paper develops computational methods combining sequencing and miFISH data to improve accurate inference of clonal copy number evolution in tumors.

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.

The paper uses single-cell RNA-seq to study liver and gallbladder development from the embryonic endoderm, identifying key transcription factors and gene expression changes during differentiation.

The paper identifies gene expression correlation patterns (AEPs) associated with cancer prognosis across 22 cancer types using transcriptomic data from 5,001 patients.

The paper develops methods to deconvolve tumor copy number data by integrating bulk and single-cell sequencing data, improving accuracy over bulk data alone.

This paper develops CRISPR systems to target and deplete an oncogenic KRAS mutant allele, leading to tumor regression in vitro and in vivo.

This study identifies age-related sex differences in gut microbiota composition and functionality across two population cohorts, showing women have more diverse and stable microbiota than men, with sex differences diminishing in older adults.

The paper presents a single-cell transcriptomic analysis of nucleated cells in umbilical cord blood, identifying cell types, subpopulations, and transcriptional programs that may impact transplant outcomes.

This study identifies HLA-DQA1 as the major independent genetic risk for ACPA-positive RA in Han population through MHC region sequencing and HLA-typing.

The paper introduces scCAT-seq, a method to simultaneously assay chromatin accessibility and transcriptome in single cells, and demonstrates its application in human pre-implantation embryos to reveal regulatory heterogeneity.

This study compares the sensitivity and accuracy of the BGISEQ-500 and Illumina HiSeq platforms for single-cell RNA sequencing using a standardized resource of 468 unique single-cells and 1,297 matched single cDNA samples.

This study identifies 15 hub genes in breast cancer through integrated bioinformatics analysis and finds their higher expression correlates with shorter overall survival.

The paper analyzes RNA alterations across 27 cancer types using whole-genome sequencing data, identifying gene expression associations with DNA variants and structural fusions.