Welcome to SynLeaF
Discover synthetic lethality pairs and gain deeper insights into genetic interactions.
About SynLeaF
Welcome to SynLeaF, a cutting-edge prediction platform built on a dual-stage multimodal fusion framework. Beyond pan-cancer analysis, we specialize in delivering precise prediction results for cancer-specific contexts. By mining complex biomedical data, we identify critical potential gene interactions. These insights empower researchers to better understand tumor mechanisms and translate them into novel clinical therapeutic strategies.
Statistics of SynLeaF
SynLeaF is built upon an industry-leading data foundation, supporting both Pan-cancer contexts and eight specific cancer types (BRCA, CESC, COAD, KIRC, LAML, LUAD, OV, SKCM) for synthetic lethality prediction. By deeply integrating multi-omics features sourced from TCGA — spanning gene expression, mutation, CNV, and methylation — with SynLethDB 2.0 knowledge graph containing over 1.4 million relationships, we ensure both the breadth of analysis and the precision required to capture cancer-specific mechanisms.
