Posts
All the articles I've posted.
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Book Summary
I have been responsible for several (part of the ) books.
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exSeek extracellular RNA analysis tool for noninvasive biomarker
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
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RNA Structural Motif Finding using Deep Learning
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
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Summer Intern Project Summary
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.
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Machine Learning for Traits Prediction
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.
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MDN for Signal Position Prediction
We collaborate with Jun Li in New York University.
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Python Tutorial
The related jupyter file
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QUIZ Predicting maize traits using SNP data
The related jupyter file
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QUIZ identification of cancer biomarker from exRNA-seq data
The related jupyter file
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Machine Learning Basics Tutorial
The related jupyter file