Liangtao Zheng
YOU?
Author Swipe
View article: FASTer: Toward Efficient Autoregressive Vision Language Action Modeling via Neural Action Tokenization
FASTer: Toward Efficient Autoregressive Vision Language Action Modeling via Neural Action Tokenization Open
Autoregressive vision-language-action (VLA) models have recently demonstrated strong capabilities in robotic manipulation. However, their core process of action tokenization often involves a trade-off between reconstruction fidelity and in…
View article: A novel memory-like Tfh cell subset is precursor to effector Tfh cells in recall immune responses
A novel memory-like Tfh cell subset is precursor to effector Tfh cells in recall immune responses Open
T follicular helper (Tfh) cells, essential for germinal center reactions, are not identical, with different phenotypes reported. Whether, when, and how they generate memory cells is still poorly understood. Here, through single-cell RNA-se…
View article: 165P Immunosuppressive F13A1+ Mo/Mϕ in the tumor microenvironment as a hallmark for multiple primary lung cancers
165P Immunosuppressive F13A1+ Mo/Mϕ in the tumor microenvironment as a hallmark for multiple primary lung cancers Open
The increasing number of patients with multiple primary lung cancers (MPLCs) endows a rising challenge for clinical management. The tumor microenvironment (TME) has a critical role in MPLCs but its contribution to cancer onset remains uncl…
View article: Author Correction: High-coverage whole-genome analysis of 1220 cancers reveals hundreds of genes deregulated by rearrangement-mediated cis-regulatory alterations
Author Correction: High-coverage whole-genome analysis of 1220 cancers reveals hundreds of genes deregulated by rearrangement-mediated cis-regulatory alterations Open
In the published version of this paper, the members of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortiumwere listed in the Supplementary Information; however, these members shouldhave been included in themainpaper.The originalArt…
View article: Codes for the paper "Pan-cancer single-cell landscape of tumor-infiltrating T cells"
Codes for the paper "Pan-cancer single-cell landscape of tumor-infiltrating T cells" Open
Data and scripts for our paper titled "Pan-Cancer Single Cell Landscape of Tumor-Infiltrating T Cells". Expression data main expression data * R objects of class `SingleCellExperiment`, co…
View article: STARTRAC analyses of scRNAseq data from tumor models reveal T cell dynamics and therapeutic targets
STARTRAC analyses of scRNAseq data from tumor models reveal T cell dynamics and therapeutic targets Open
Single-cell RNA sequencing is a powerful tool to examine cellular heterogeneity, novel markers and target genes, and therapeutic mechanisms in human cancers and animal models. Here, we analyzed single-cell RNA sequencing data of T cells ob…
View article: Decoding the genetic basis of anti-tumor immunity
Decoding the genetic basis of anti-tumor immunity Open
View article: High-coverage whole-genome analysis of 1220 cancers reveals hundreds of genes deregulated by rearrangement-mediated cis-regulatory alterations
High-coverage whole-genome analysis of 1220 cancers reveals hundreds of genes deregulated by rearrangement-mediated cis-regulatory alterations Open
View article: Deep single-cell RNA sequencing data of individual T cells from treatment-naïve colorectal cancer patients
Deep single-cell RNA sequencing data of individual T cells from treatment-naïve colorectal cancer patients Open
View article: SSCC: A Novel Computational Framework for Rapid and Accurate Clustering Large-Scale Single Cell RNA-Seq Data
SSCC: A Novel Computational Framework for Rapid and Accurate Clustering Large-Scale Single Cell RNA-Seq Data Open
Clustering is a prevalent analytical means to analyze single cell RNA sequencing (scRNA-seq) data but the rapidly expanding data volume can make this process computationally challenging. New methods for both accurate and efficient clusteri…
View article: Expression profile and TCR typing information of single T cells derived from 12 treatment-naive colorectal cancer patients
Expression profile and TCR typing information of single T cells derived from 12 treatment-naive colorectal cancer patients Open
The expression profile contains 10,805 cells and 12,547 genes, of which the expression values were quantified by log2 (TPM+ 1).The table of sample characteristics includes the information of patient origins, cell types, clusters and TCR se…
View article: SSCC: a novel computational framework for rapid and accurate clustering large single cell RNA-seq data
SSCC: a novel computational framework for rapid and accurate clustering large single cell RNA-seq data Open
Clustering is a prevalent analytical means to analyze single cell RNA sequencing data but the rapidly expanding data volume can make this process computational challenging. New methods for both accurate and efficient clustering are of pres…
View article: Landscape of Infiltrating T Cells in Liver Cancer Revealed by Single-Cell Sequencing
Landscape of Infiltrating T Cells in Liver Cancer Revealed by Single-Cell Sequencing Open
View article: Whole Exome Sequencing Identifies Frequent Somatic Mutations in Cell-Cell Adhesion Genes in Chinese Patients with Lung Squamous Cell Carcinoma
Whole Exome Sequencing Identifies Frequent Somatic Mutations in Cell-Cell Adhesion Genes in Chinese Patients with Lung Squamous Cell Carcinoma Open
Lung squamous cell carcinoma (SQCC) accounts for about 30% of all lung cancer cases. Understanding of mutational landscape for this subtype of lung cancer in Chinese patients is currently limited. We performed whole exome sequencing in sam…