Data clustering is the process of placing data items into groups so that items within a group are similar and items in different groups are dissimilar. The most common technique for clustering numeric ...

Principal Component Analysis from Scratch Using Singular Value Decomposition with C# Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on a classical ML technique ...

Clinical trials and high-throughput flow cytometry produce large amounts of data, leading to an analysis bottleneck unaddressed by commercially available cytometry analysis software. As the throughput ...

MEME-ChIP 1 is a web-based tool for motif-based sequence analysis of large-scale DNA or RNA data sets. It provides computationally efficient algorithms for discovering and analyzing the sequence ...