WonderLand Notebook

I have been responsible for several (part of the ) books.

Parts of this works difficulty is its steps and precision it requires. Since our exRNA-seq is different (it has less RNA reads), we have to explore the mapping sequence. We determine sequential mapping order, using peak calling because most long RNAs are fragments in blood. We also did matrix proces

We then turn to predict RNA motif (especially RNA-protein interaction related motif). It is another harder problem compared with simply applying deep neural network to 1D and 2D structure data. We develop the mixture model for PWM optimization. We explore the possibility to use VAE for unsupervise

For Synapse project, I work with Zudi and Donglai, we now rank No.1 in the CREMI contest. And we will submit a paper to CVPR this November.

We proposed a new mixed linear model Mixed Ridge with Fast cross validation to pick parameters. We also propose Metric Regressor for few shot learning.

We collaborate with Jun Li in New York University.

The related jupyter file

The related jupyter file

The related jupyter file