Data analysis is used as a common method in modern science research, which is across
communication science, computer science and biology science. Clustering, as the basic …

Data analysis plays an indispensable role for understanding various phenomena. Cluster
analysis, primitive exploration with little or no prior knowledge, consists of research …

Motivation Despite near-experimental accuracy on single-chain predictions, there is still
scope for improvement among multimeric predictions. Methods like AlphaFold-Multimer and …

Motivation: The recent advance of single-cell technologies has brought new insights into
complex biological phenomena. In particular, genome-wide single-cell measurements such …

Community detection which discovers densely connected structures in a network has been
studied a lot. In this paper, we study online community search which is practically useful but …

Liquid chromatography coupled to mass spectrometry is routinely used for metabolomics
experiments. In contrast to the fairly routine and automated data acquisition steps …

Advances in computer-assisted linguistic research have been greatly influential in resha**
linguistic research. With the increasing availability of interconnected datasets created and …

Background Recent advances in proteomics technologies such as two-hybrid, phage
display and mass spectrometry have enabled us to create a detailed map of biomolecular …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

The planted partition model (also known as the stochastic blockmodel) is a classical cluster-
exhibiting random graph model that has been extensively studied in statistics, physics, and …