Year 2017: top* 10 papers with the highest R-portion

Topic: Comprehensive Integration of Single-Cell Transcriptomic Data

* The top 5% of entries has been removed to reduce statistical anomalies. Further fine-tuning, filtering, and error cleaning are in progress.

Single-cell mRNA quantification and differential analysis with Census

YCR = 2017 / 1219 /  29.60 


Comparative Analysis of Single-Cell RNA Sequencing Methods

YCR = 2017 / 1168 /  29.46 


Comprehensive single-cell transcriptional profiling of a multicellular organism

YCR = 2017 / 1123 /  27.10 


chromVAR: inferring transcription-factor-associated accessibility from single-cell epigenomic data

YCR = 2017 / 1074 /  23.18 


Single-cell spatial reconstruction reveals global division of labour in the mammalian liver

YCR = 2017 / 820 /  21.48 


Massively parallel single-nucleus RNA-seq with DroNc-seq

YCR = 2017 / 883 /  21.27 


Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors

YCR = 2017 / 873 /  20.58 


Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data

YCR = 2017 / 842 /  18.73 


Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain

YCR = 2017 / 788 /  18.47 


Multiplexed droplet single-cell RNA-sequencing using natural genetic variation

YCR = 2017 / 785 /  18.31