25 citations · 26 across the 2 of their papers we have counts for
3 papers
q-bio.MN2023
Interpretable neural architecture search and transfer learning for understanding CRISPR/Cas9 off-target enzymatic reactions
Zijun Zhang, Adam R. Lamson, Michael Shelley +1
Finely-tuned enzymatic pathways control cellular processes, and their dysregulation can lead to disease. Creating predictive and interpretable models for these pathways is challeng…
q-bio.QM2014★ 1 cited
Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction
Jian Zhou, Olga G. Troyanskaya
Predicting protein secondary structure is a fundamental problem in protein structure prediction. Here we present a new supervised generative stochastic network (GSN) based method t…
q-bio.GN2010★ 25 cited
Mapping Dynamic Histone Acetylation Patterns to Gene Expression in Nanog-depleted Murine Embryonic Stem Cells
Florian Markowetz, Klaas W Mulder, Edoardo M Airoldi +2
Embryonic stem cells (ESC) have the potential to self-renew indefinitely and to differentiate into any of the three germ layers. The molecular mechanisms for self-renewal, maintena…