Single-Cell Genomic and Clinical Data Analyses Pinpointed Targets and Drove the Preclinically Validated Novel Strategy To Prevent/Treat kidney cancer.
scRNAseq, DNAseq and clinical analyses revealed YAP signaling as a major target and drove the preclinically validated novel strategy to prevent or treat kidney cancer through Hippo pathway
May 26, 2025
Effective RNA Velocity Analysis: Math, Implementation, Benchmark, and Discovery of Meaningful Tumor Trajectories from Real-World Single-Cell Genomics
Identifies key tunable parameters and aligns with underlying mathematical assumptions. Strategies were benchmarked and uncovered tumor development trajectories in real-world data.
May 26, 2025
Quantify Un-/Under- Annotated Features (hERVs, Transgenes) from (Single-Cell) Transcriptomics: Math Algorithms, Implementation and Turnkey Workflows
Quantify Un-/Under- Annotated Features (hERVs, Transgenes) from bulk-RNAseq, 10x single-cell RNAseq and well-based single-cell RNAseq
May 25, 2025
Integrated Analysis of Spatial Genomics and scRNAseq Identifies Occult Cervical Cancer Subtypes: Why Current Billion Dollar Screening Programs Fail the Most At-Risk Patients
To be composed soon after paper is published.
Oct 27, 2023
Infection-Driven Uterine Tumorigenesis: Integrated Spatial and Single-Cell Profiling Validated in Patients and Preclinical Models
To be composed soon after paper is published.
Oct 26, 2023
Improve UMI Normalization that Determines the Downstream Interpretation of Single-Cell Transcriptomes
To be composed soon after paper is published. Below is only a piece of the project for now. Contents 1. 🧬 Dissect sctransform()📝Blog | 🐙Git Image credit: Chris Lawton on Unsplash The vst() function applies variance stabilizing transformation to UMI count data using a regularized Negative Binomial regression model. This removes unwanted effects from UMI data and returns Pearson residuals.
Oct 26, 2023