Does Matlab have built in functions to deal with zero-inflated data?

Does Matlab have built-in functions to deal with zero-inflated data. I would imagine the bioinformatics toolbox would have something, but I can't find it.

Thanks,

Vitaly

[Stephan]

Hello,

do you mean sparse matrices?

Best regards

Stephan

[the cyclist]

"Zero-inflated data" typically refers to datasets where you have count data, but with a preponderance of zeros. Although a sparse matrix might be appropriate for storage, the difficult issues tend not to be that aspect, but the best way to model the data.

[Vitaly Kheyfets]

In my case, I have zero-inflated continuous data. About half the patients have gene expression fold change ~ 0, but half have some continuous value.

I don't have a large enough sample size to split my data into expressed (for regression) vs. not expressed (for classification).

[Steven Lord]

Can you tell us what specific operations you're looking to perform on your zero-inflated data? I don't know if there are specific functions designed to work on only zero-inflated data, but there may be functions that work on general data that have options that make them better able to handle zero-inflated data.

Answer 1

[the cyclist]

To my knowledge, there is nothing built in. This recent answer offered a couple ideas.

[Vitaly Kheyfets]

Thanks for your comment. That post offers some ideas, but would not really work for my dataset. I think this is just a limitation of Matlab and might need a language like R.