Our lab recently ran an AI agent hackathon to solve real genomics workflow pain points using ReAct, Plan-and-Execute, Router patterns, tool calling, RAG, and safety guardrails.
We are thrilled to announce that our paper on ADTnorm has been accepted for publication in Nature Communications. This work represents a significant advancement in the normalization and integration of CITE-seq data.
We are delighted to congratulate Gloria Song and Tian Le for receiving their master’s degrees in data science from the Department of Computer Science at Rice University. Both will be joining our group as Research Computational Analysts.
In a groundbreaking study, Dr. Ye Zheng has led a discovery that total whole-arm chromosome losses can predict malignancy across various cancer types. This revolutionary finding provides a new framework for understanding cancer development and progression.
Researchers from Fred Hutch Cancer Center and MD Anderson Cancer Center have developed a novel technique that directly measures gene transcription activity from DNA, revealing that hyper-elevated levels of RNA Polymerase II (RNAPII) are linked to tumor aggressiveness.
Researchers from Fred Hutch Cancer Center and MD Anderson Cancer Center have discovered a new biomarker that can accurately predict the prognosis of meningiomas and breast cancers.
Congratulations to Ye Zheng for publishing a co-first author paper in Science!