Reconstructing disease dynamics for mechanistic insights and clinical benefit
Amit Frishberg, Neta Milman, Ayelet Alpert, Hannah Spitzer, Ben Asani, Johannes Benedikt Schiefelbein, Evgeny Bakin, Karen Regev-Berman, Siegfried Georg Priglinger, Joachim Ludwig Schultze, Fabian Joachim Theis, Shai S. Shen-Orr
The paper introduces TimeAx, an algorithm for analyzing disease progression dynamics using time-series data, identifying key molecular transitions and clinical insights in urothelial bladder cancer.
Nature Communications · Oct 27, 2023Peer-reviewedSystems Biology