Identifying stress-related genes and predicting stress types in Arabidopsis using logical correlation layer and CMCL loss through time-series data
Dong Won Kang, Sun Kim(Seoul National University of Science and Technology), Chai-Jin Lee(Seoul National University), Hongryul Ahn(Allen Institute for Brain Science), Woosuk Jung(Konkuk University), Sangseon Lee(Seoul National University), Jihye Hur(Konkuk University)
Cited by 6
Related Papers
SARS-CoV-2 and Stroke in a New York Healthcare System
|Stroke|2020|751
Sex Differences in Nucleus Accumbens Transcriptome Profiles Associated with Susceptibility versus Resilience to Subchronic Variable Stress
|Journal of Neuroscience|2015|405
MicroRNA and mRNA integrated analysis (MMIA): a web tool for examining biological functions of microRNA expression
|Nucleic Acids Research|2009|168
Oncogenic ETS proteins mimic activated RAS/MAPK signaling in prostate cells
|Genes & Development|2011|161
DeepFam: deep learning based alignment-free method for protein family modeling and prediction
|Bioinformatics|2018|145