Zhana Duren Clemson Center for Human Genetics Clemson University College of Science Clemson University Clemson researchers pave the way for precision medicine with AI #NBTintheNews via Clemson University news.clemson.edu/clemson-resear…

A great strategy to estimate variant effect using integrated experimental and computational approaches.

Call for Papers and Abstracts The 12th International Conference on Intelligent Biology and Medicine (ICIBM 2024) will be held in Houston, TX, USA. Please contact our main organizers (PC chairs) Qianqian Song Ece Uzun, MS, PhD, FAMIA or [email protected].

Great question. LINGER uses all data to infer a cell population level GRN first. A cell type/state specific GRN will be generated in the second step by combining the cell population level GRN and cell type/state specific expression and accessibility profile.

In the latest issue! Single-cell dissection of the human motor and prefrontal cortices in ALS and FTLD dlvr.it/T5RGJd

Thank you for your constructive comments during your visit to Clemson last year, which are so helpful.

Inferring gene regulatory networks from single-cell multiome data using atlas-scale external data go.nature.com/43YySqO

Thank you, Mingyao!

Thank you, Ye! When you try it on your own data, please let us know your experience. I believe your comments will be helpful to improve the software.

Thank you, Clint!

Thank you, Gang, for your interest and support to this method.

Thank you, Stefano! If you have any comments, please let us know. I believe your feedback will be very valuable to improve the software.

So honored to co-organize single cell omics sessions at the MCBIOS, and welcome our excellent speakers.

Join WUSM Department of Genetics today @ noon CDT in Connor Auditorium when Dr. Zhana Duren, presents “Gene regulatory network analysis from single cell multi-omics data”, hosted by Dr. Tychele Turner

Continuous lifelong learning for modeling of gene regulation from single cell multiome data by leveraging atlas-scale external data biorxiv.org/content/10.110…

Yuan & Zhana Duren present UnpairReg, for regression analysis of unpaired single-cell gene expression and chromatin accessibility data. It learns the relationship between regulatory elements and target genes, so can predict expression from accessibility genomebiology.biomedcentral.com/articles/10.11…

scREG, from Zhana Duren, Chang, Wong & co, a dimension reduction approach for single-cell data combining both RNA-seq and ATAC-seq information. It uses the concept of cis regulatory potential for each regulatory element - target gene pair. genomebiology.biomedcentral.com/articles/10.11…

Looking for bioinformatics postdoc apply.interfolio.com/78683