Skip To Main Content
Tianyou Luo on Muck Rack

Tianyou Luo

As seen in: Nature, Frontiers, MDPI, Science Magazine, BioRxiv, Academic Radiology
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Tianyou

Contact Tianyou, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

The X chromosome’s influences on the human brain

|
By Zhiwen Jiang, Patrick Sullivan, Tengfei Li, Bingxin Zhao, Xifeng Wang, Tianyou Luo, Shuai Huang, Peter Y Guan, Jie Chen, Yue Yang, Jason Stein Verified, Yun Li Verified, Dajiang J Liu, Lei Sun, Hongtu Zhu
| Science Magazine Verified
Open in Who Shared Issue with article?

MAST-Decon: Smooth Cell-type Deconvolution Method for Spatial Transcriptomics Data

|
By Tianyou Luo, Jiawen Chen, Wenrong Wu, Jinying Zhao
| BioRxiv
Abstract Spatial transcriptomics (ST) technologies have gained increasing popularity due to their ability to provide positional context of gene expressions in a tissue. One major limitation of current commercially available ST methods such as the 10X Genomics Visium platform is the lack of single cell resolution. Cell type deconvolution for ST data is critical in order to fully reveal underlying biological mechanisms.
Open in Who Shared Issue with article?

Machine learning methods for predicting guide RNA effects in CRISPR epigenome editing experiments

|
By Wancen Mu, Tianyou Luo, Alejandro Barrera, Lexi R. Bounds
| BioRxiv
Abstract CRISPR epigenomic editing technologies enable functional interrogation of non-coding elements. However, current computational methods for guide RNA (gRNA) design do not effectively predict the power potential, molecular and cellular impact to optimize for efficient gRNAs, which are crucial for successful applications of these technologies.
Open in Who Shared Issue with article?
See all 7 articles