iiinova — where your digital self keeps evolving

weiqiu.bsky.social

@weiqiu.bsky.social

weiqiu.bsky.social @weiqiu.bsky.social · 19/01/2025

📢I am on the academic job market this year! My research interest involves utilizing AI and explainable AI to explore the mechanisms of aging and age-related diseases. I'm looking for faculty positions in AI for Biomedicine. Check out my website: qiuweipku.github.io

qiuweipku.github.io

Wei Qiu

A simple, whitespace theme for academics. Based on [*folio](https://github.com/bogoli/-folio) design.

142

weiqiu.bsky.social @weiqiu.bsky.social · 18/12/2024

Our study uncovered many exciting biological findings—be sure to check it out to learn more! It was a pleasure collaborating with such an amazing team, and I truly appreciate the support from Dr. Ayse Dincer, Dr. Joseph Janizek, Prof. Kamila Naxerova and Prof. Su-In Lee @suinlee.bsky.social! 4/4

010

weiqiu.bsky.social @weiqiu.bsky.social · 18/12/2024

By linking latent variables to mutation burden and survival, we discovered that mutation burden is closely associated with cell-cycle-related genes, and pathways for DNA-mismatch repair and MHC class II antigen presentation are consistently associated with patient survival. 3/4

000

weiqiu.bsky.social @weiqiu.bsky.social · 18/12/2024

We utilized explainable AI to identify the genes and pathways that define the latent spaces. We found that genes that are universally important across cancer types control immune cell activation, and cancer-type-specific genes and pathways define molecular disease subtypes. 2/4

000

weiqiu.bsky.social @weiqiu.bsky.social · 18/12/2024

We developed an unsupervised deep learning framework for the generation of low-dimensional latent spaces and applied it to gene expression data from 50,211 transcriptomes across 18 human cancers. 1/4

000

weiqiu.bsky.social @weiqiu.bsky.social · 18/12/2024

📢 Super excited to share our DeepProfile paper has been published today in Nature Biomedical Engineering! Check it out here! www.nature.com/articles/s41...

nature.com

Deep profiling of gene expression across 18 human cancers - Nature Biomedical Engineering

Using unsupervised deep learning to generate low-dimensional latent spaces for gene-expression data can unveil biological insight across cancers.

441