Abstract. Denoising source separation is a recently introduced framework for building source separation algorithms around denoising procedures. Two developments are reported here. ...
In this paper we present denoising algorithms for enhancing noisy signals based on Local ICA (LICA), Delayed AMUSE (dAMUSE) and Kernel PCA (KPCA). The algorithm LICA relies on app...
Abstract— We present a method for exploratory data analysis of large spatiotemporal data sets such as global longtime climate measurements, extending our previous work on semibli...
Background: Sequencing of prokaryotic genomes has recently revealed the presence of CRISPR elements: short, highly conserved repeats separated by unique sequences of similar lengt...
Background: Quantitative proteomics technologies have been developed to comprehensively identify and quantify proteins in two or more complex samples. Quantitative proteomics base...
Fan Mo, Qun Mo, Yuanyuan Chen, David R. Goodlett, ...