Hill Function-based Model of Transcriptional Response: Impact of Nonspecific Binding and RNAP Interactions

no code implementations • 4 Mar 2024 • Wenjia Shi, Yao Ma, Peilin Hu, Mi Pang, Xiaona Huang, Yiting Dang, Yuxin Xie, Danni Wu

Its attribute of fitting may result in a lack of an underlying physical picture, yet the fitting parameters can provide information about biochemical reactions, such as the number of transcription factors (TFs) and the binding energy between regulatory elements.

Attribute

Joint End-to-End Image Compression and Denoising: Leveraging Contrastive Learning and Multi-Scale Self-ONNs

no code implementations • 8 Feb 2024 • Yuxin Xie, Li Yu, Farhad Pakdaman, Moncef Gabbouj

Noisy images are a challenge to image compression algorithms due to the inherent difficulty of compressing noise.

Contrastive Learning Denoising +1