AI model learns generalized 'language' of regulatory genomics, ... Nauman Javed et al, A multi-modal transformer for cell ...

AI model learns generalized “language” of regulatory genomics, predicts cellular stories Study Title: A multi-modal transformer for cell type agnostic regulatory predictions Publication: Cell ...

Course TopicsMany response variables are handled poorly by regression models when the errors are assumed to be normally distributed. For example, modeling the state damaged/not damaged of cells after ...

What is a Generalized Linear Model? A traditional linear model is of the form where y i is the response variable for the i th observation. The quantity x i is a column vector of covariates, or ...

The team developed an “agent-based” model (ABM) consisting of separate interacting units or agents – which in this case mimic lung cells – coupled with a Monte Carlo simulator. The ABM, described in ...

Duration: 12h. In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial ...

Until now, most research has used either generalized cell samples or organoids made from just one type of tropical fruit bat, and only from a single organ. But a breakthrough has arrived: a ...