AlphaGenome scores mutation effects across coding and non-coding DNA, bringing gene insights to the base-pair level.

Velsera’s technology enables compliant access to sensitive datasets while keeping data within the control of its source institutions.

We aimed to assign the m cells into n positions using linear regression model with L1 norm and generalized L2 norm via graph Laplacian. The initial step is to create the position to gene expression ...

GLMs unify other statistical models, including gamma regression models appropriate for right skewed responses; logistic regression appropriate for categorical responses; and log-linear models ...

This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform tasks, it is ...

To meet these needs, our study introduces an innovative approach to airport performance forecasting with the Linear-Diffusion Graph Network (LDGN), an explainable and probabilistic model. The LDGN is ...

You have nonstandard log-linear models, which are used for well-known tests, and log-linear models used for axial symmetry and quasi-symmetry. Many researchers deal with these models and use them for ...

Basic linear models assume a Gaussian distribution family (LMs: Linear Models). Yet, they can also be implemented with other distributions to analyse skewed, count, or proportional responses (GLMs: ...