Jingyi Jessica Li
Jingyi Jessica Li
Associate Professor, Department of Statistics, University of California at Los Angeles (UCLA)
Verified email at stat.ucla.edu - Homepage
Cited by
Cited by
An integrated encyclopedia of DNA elements in the human genome
ENCODE Project Consortium
Nature 489 (7414), 57-74, 2012
An accurate and robust imputation method scImpute for single-cell RNA-seq data
WV Li, JJ Li
Nature Communications 9 (1), 997, 2018
Developmental roles of 21 Drosophila transcription factors are determined by quantitative differences in binding to an overlapping set of thousands of genomic regions
S MacArthur, XY Li, J Li, JB Brown, HC Chu, L Zeng, BP Grondona, ...
Genome biology 10 (7), 1-26, 2009
System wide analyses have underestimated protein abundances and the importance of transcription in mammals
JJ Li, PJ Bickel, MD Biggin
PeerJ 2, e270, 2014
Comparative analysis of the transcriptome across distant species
MB Gerstein, J Rozowsky, KK Yan, D Wang, C Cheng, JB Brown, ...
Nature 512 (7515), 445-448, 2014
Comparative analysis of regulatory information and circuits across distant species
AP Boyle, CL Araya, C Brdlik, P Cayting, C Cheng, Y Cheng, K Gardner, ...
Nature 512 (7515), 453-456, 2014
Statistics requantitates the central dogma
JJ Li, MD Biggin
Science 347 (6226), 1066-1067, 2015
Sparse linear modeling of next-generation mRNA sequencing (RNA-Seq) data for isoform discovery and abundance estimation
JJ Li, CR Jiang, JB Brown, H Huang, PJ Bickel
Proceedings of the National Academy of Sciences 108 (50), 19867-19872, 2011
DNA regions bound at low occupancy by transcription factors do not drive patterned reporter gene expression in Drosophila
WW Fisher, JJ Li, AS Hammonds, JB Brown, BD Pfeiffer, R Weiszmann, ...
Proceedings of the National Academy of Sciences 109 (52), 21330-21335, 2012
Comparison of D. melanogaster and C. elegans developmental stages, tissues, and cells by modENCODE RNA-seq data
JJ Li, H Huang, PJ Bickel, SE Brenner
Genome research 24 (7), 1086-1101, 2014
Oct4 was a novel target of Wnt signaling pathway
J Li, J Li, B Chen
Molecular and cellular biochemistry 362 (1-2), 233-240, 2012
Neyman-Pearson classification algorithms and NP receiver operating characteristics
X Tong, Y Feng, JJ Li
Science advances 4 (2), eaao1659, 2018
Modeling and analysis of RNA-seq data: a review from a statistical perspective
WV Li, JJ Li
Quantitative Biology 6 (3), 195-209, 2018
Spliceosome profiling visualizes operations of a dynamic RNP at nucleotide resolution
JE Burke, AD Longhurst, D Merkurjev, J Sales-Lee, B Rao, JJ Moresco, ...
Cell 173 (4), 1014-1030. e17, 2018
Large-scale comparative epigenomics reveals hierarchical regulation of non-CG methylation in Arabidopsis
Y Zhang, CJ Harris, Q Liu, W Liu, I Ausin, Y Long, L Xiao, L Feng, X Chen, ...
Proceedings of the National Academy of Sciences 115 (5), E1069-E1074, 2018
A statistical simulator scDesign for rational scRNA-seq experimental design
WV Li, JJ Li
Bioinformatics 35 (14), i41–i50, 2019
A quantitative proteomic analysis of cellular responses to high glucose media in Chinese hamster ovary cells
Z Liu, S Dai, J Bones, S Ray, S Cha, BL Karger, JJ Li, L Wilson, G Hinckle, ...
Biotechnology progress 31 (4), 1026-1038, 2015
Benchmarking computational doublet-detection methods for single-cell RNA sequencing data
NM Xi, JJ Li
Cell systems 12 (2), 176-194. e6, 2021
Quantitating translational control: mRNA abundance-dependent and independent contributions and the mRNA sequences that specify them
JJ Li, GL Chew, MD Biggin
Nucleic acids research 45 (20), 11821-11836, 2017
A bootstrap lasso+partial ridge method to construct confidence intervals for parameters in high-dimensional sparse linear models
H Liu, X Xu, JJ Li
Statistica Sinica 30 (3), 1333-1355, 2020
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