Jason Liu

According to our database, Jason Liu authored at least 7 papers between 2020 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Bayesian structural time series for biomedical sensor data: A flexible modeling framework for evaluating interventions.

Jason Liu, Daniel J. Spakowicz, Garrett I. Ash, Rebecca Hoyd, Rohan Ahluwalia, Andrew Zhang, Shaoke Lou, Donghoon Lee, Jing Zhang, Carolyn Presley, Ann Greene, Matthew Stults-Kolehmainen, Laura M. Nally, Julien S. Baker, Lisa M. Fucito, Stuart A. Weinzimer, Andrew V. Papachristos, Mark Gerstein

PLoS Comput. Biol., 2021

Gene Tracer: a smart, interactive, voice-controlled Alexa skill For gene information retrieval and browsing, mutation annotation and network visualization.

Shaoke Lou, Tianxiao Li, Jason Liu, Mark Gerstein

Bioinform., 2021

DECODE: a Deep-learning framework for Condensing enhancers and refining boundaries with large-scale functional assays.

Zhanlin Chen, Jing Zhang, Jason Liu, Yi Dai, Donghoon Lee, Martin Renqiang Min, Min Xu, Mark Gerstein

Bioinform., 2021

2020

Epigenome-based splicing prediction using a recurrent neural network.

Donghoon Lee, Jing Zhang, Jason Liu, Mark Gerstein

PLoS Comput. Biol., 2020

NIMBus: a negative binomial regression based Integrative Method for mutation Burden Analysis.

Jing Zhang, Jason Liu, Patrick D. McGillivray, Caroline Yi, Lucas Lochovsky, Donghoon Lee, Mark Gerstein

BMC Bioinform., 2020

DiNeR: a Differential graphical model for analysis of co-regulation Network Rewiring.

Jing Zhang, Jason Liu, Donghoon Lee, Shaoke Lou, Zhanlin Chen, Gamze Gürsoy, Mark Gerstein

BMC Bioinform., 2020

TopicNet: a framework for measuring transcriptional regulatory network change.

Shaoke Lou, Tianxiao Li, Xiangmeng Kong, Jing Zhang, Jason Liu, Donghoon Lee, Mark Gerstein

Bioinform., 2020