Scientists develop novel computational model for aptamer generation, with wide applications. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2022 / 06 / 220607120706.htm ...

Xiong adapted the autoencoder to high-throughput genomics, using the dataset for GM12878 to train it to recognize what sequences of DNA pairs from different chromosomes typically might be ...

A newly developed physics-informed variational autoencoder (P-VAE) framework could help speed up computational imaging by using supervised learning to reconstruct many light sources, ...

By integrating a variational autoencoder with a deep survival model, it outperforms traditional methods, achieving a median C-index of 0.78 in a cohort of 2,043 patients.

Researchers are developing computational approaches to extract information from multiple sets of single-cell sequencing data. ... “Single-cell RNA-seq denoising using a deep count autoencoder,” Nat ...

Researchers in the Graduate School of Advanced Science and Engineering at Waseda University, Japan, say they have introduced RaptGen, a variational autoencoder (VAE) that can be used for aptamer ...

Computational methods used to fill in missing pixels in low-quality images or video also can ... Xiong used an artificial neural network called a denoising autoencoder to help fill in the gaps in ...