Identification of crucial inflammaging related risk factors in multiple sclerosis
Abstract Background: Multiple sclerosis (MS) is an immune-mediated disease characterized by inflammatory demyelinating lesions in the central nervous system. Studies…
Jiayin Wang
DeepLION2: deep multi-instance contrastive learning framework enhancing the prediction of cancer-associated T cell receptors by attention strategy on motifs
Abstract Introduction: T cell receptor (TCR) repertoires provide valuable insights into complex human diseases, including cancers. Recent advancements in immune…
The oxidative aging model integrated various risk factors in type 2 diabetes mellitus at system level
Abstract Background: Type 2 diabetes mellitus (T2DM) is a chronic endocrine metabolic disease caused by insulin dysregulation. Studies have shown…
DeepLION: Deep Multi-Instance Learning Improves the Prediction of Cancer-Associated T Cell Receptors for Accurate Cancer Detection
Abstract Recent studies highlight the potential of T cell receptor (TCR) repertoires in accurately detecting cancers via noninvasive sampling. Unfortunately,…
Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples
Abstract The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) curated consensus somatic mutation calls using whole exome…
Comprehensive molecular characterization of mitochondrial genomes in human cancers
Abstract Mitochondria are essential cellular organelles that play critical roles in cancer. Here, as part of the International Cancer Genome…
Divergent mutational processes distinguish hypoxic and normoxic tumours
Abstract Many primary tumours have low levels of molecular oxygen (hypoxia), and hypoxic tumours respond poorly to therapy. Pan-cancer molecular…