pggb builds pangenome variation graphs from a set of input sequences. A pangenome variation graph is a kind of generic multiple sequence alignment. It lets us understand any kind of sequence variation ...

Abstract: Most existing subspace clustering methods focus on learning a meaningful (e.g., sparse or low-rank) representation of the data. However, they have the following two problems which greatly ...

I normally have a non-linear graph, I tend to create many experimental "branches" as I work on things. "mainline" for me is the grapth leading to my current working change @. By branches I mean not ...

SAN FRANCISCO, June 10 (Reuters) - Enterprise software maker Linear has raised an $82 million Series C funding round valuing the startup at $1.25 billion, the company said on Tuesday. Venture capital ...

A unique Bitcoin price model shows that BTC rallies by 6x when the network’s age increases by 40%. Bitcoin’s price increased by sixfold each time its age increased by 40%. If the pattern holds, ...

Abstract: The distributed nonlinear adaptive graph filter (DNAGF) is developed with the single nonlinear graph filter model (NGFM) to handle streaming datasets. However, the current DNAGFs tend to ...

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...