Highly Regional Genes: graph-based gene selection for single-cell RNA-seq data
Yanhong Wu(Shandong University of Technology), Jin Gu(Tsinghua University), Yiran Shan(Tsinghua University), Rui Jiang(Nanjing Agricultural University), Wenbo Guo(Sun Yat-sen University), Changyi Liu(Tsinghua University), Xiaowo Wang(Tsinghua University), Shicheng Wang(Fudan University Shanghai Cancer Center), Qifan Hu(Tsinghua University)
Journal of genetics and genomics/Journal of Genetics and Genomics
February 7, 2022
Cited by 25
Related Papers
Fruit and Vegetable Intake and Risk of Major Chronic Disease
|JNCI Journal of the National Cancer Institute|2004|1.3k
Allelic reprogramming of 3D chromatin architecture during early mammalian development
|Nature|2017|559
Mutations in DNMT1 cause hereditary sensory neuropathy with dementia and hearing loss
|Nature Genetics|2011|399
Comprehensive analysis of spatial architecture in primary liver cancer
|Science Advances|2021|359
MicroRNA identification based on sequence and structure alignment
|Bioinformatics|2005|287