Training Stronger Baselines for Learning to Optimize
Tianlong Chen, Weiyi Zhang, et al.
NeurIPS 2020
Data on genome organization and output over time, or the 4D Nucleome (4DN), require synthesis for meaningful interpretation. Development of tools for the efficient integration of these data is needed, especially for the time dimension. We present the ‘4DNvestigator’, a user-friendly network-based toolbox for the analysis of time series genome-wide genome structure (Hi-C) and gene expression (RNA-seq) data. Additionally, we provide methods to quantify network entropy, tensor entropy, and statistically significant changes in time series Hi-C data at different genomic scales.
Tianlong Chen, Weiyi Zhang, et al.
NeurIPS 2020
Tianlong Chen, Zhenyu Zhang, et al.
ICLR 2021
Yihua Zhang, Guanhua Zhang, et al.
ICML 2022
Jeet Mohapatra; Ching-Yun Ko, Tsui-Wei Weng, et al.
NeurIPS 2020