Wanwen Zeng

Dec 18, 2024 | genomebiology.biomedcentral.com | Zijing Gao |Qiao Liu |Wanwen Zeng |Rui Jiang

We used three different datasets in the experiments. For chromatin accessible data, we downloaded DNase bam files across 129 human biosamples from ENCODE [21] project (Additional file 2: Table S6). We divided the human hg19 genome into 200-bp non-overlapping bins, and we assigned the label for each bin in each cell type. For the regression design, we pooled the bam files of multiple replicates for a cell type, and obtain the raw read count \({n}_{lk}\) for bin \(l\) in cell type \(k\).

Feb 3, 2024 | biorxiv.org | Zijing Gao |Qiao Liu |Wanwen Zeng |Rui Jiang

AbstractThe inherent similarities between natural language and biological sequences have given rise to great interest in adapting the transformer-based large language models (LLMs) underlying recent breakthroughs in natural language processing (references), for applications in genomics.

Jul 18, 2023 | biorxiv.org | Zijing Gao |Qiao Liu |Wanwen Zeng |Rui Jiang

Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. Message Subject (Your Name) has forwarded a page to you from bioRxiv Message Body (Your Name) thought you would like to see this page from the bioRxiv website.