Building a causal model of gene regulation is an infinitely harder problem that will take decades of efforts with new data modalities, well thought out experimental designs & active iterative feedback loops between data generation to push models out of zones they struggle in. 4/
Perturbation prediction with well defined goals & scope is a valuable & valid task. Should be solved by hook or by crook - whatever works 3/
Perturbation prediction with well defined goals & scope is a valuable & valid task. Should be solved by hook or by crook - whatever works 3/
Also will once again iterate that one can develop simple approaches that can predict perturbations that are in distribution very well without ever learning a causal model of gene regulation. 2/
The earlier we come to this conclusion the more productive our paths will be. It's great to see some realignment & recalibration of tasks, goals & critical thinking. 5/
Building a causal model of gene regulation is an infinitely harder problem that will take decades of efforts with new data modalities, well thought out experimental designs & active iterative feedback loops between data generation to push models out of zones they struggle in. 4/
Building a causal model of gene regulation is an infinitely harder problem that will take decades of efforts with new data modalities, well thought out experimental designs & active iterative feedback loops between data generation to push models out of zones they struggle in. 4/
Perturbation prediction with well defined goals & scope is a valuable & valid task. Should be solved by hook or by crook - whatever works 3/