93 citations · 202 across the 9 of their papers we have counts for
3 papers · 1 filter
A deep generative model for single-cell RNA sequencing with application to detecting differentially expressed genes
Romain Lopez, Jeffrey Regier, Michael Cole +2
We propose a probabilistic model for interpreting gene expression levels that are observed through single-cell RNA sequencing. In the model, each cell has a low-dimensional latent…
A deep generative model for gene expression profiles from single-cell RNA sequencing
Romain Lopez, Jeffrey Regier, Michael Cole +2
We propose a probabilistic model for interpreting gene expression levels that are observed through single-cell RNA sequencing. In the model, each cell has a low-dimensional latent…
Convolutional Kitchen Sinks for Transcription Factor Binding Site Prediction
Alyssa Morrow, Vaishaal Shankar, Devin Petersohn +3
We present a simple and efficient method for prediction of transcription factor binding sites from DNA sequence. Our method computes a random approximation of a convolutional kerne…