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Jingyi Jessica Li
Jingyi Jessica Li
Professor, Department of Statistics, University of California at Los Angeles (UCLA)
Verified email at stat.ucla.edu - Homepage
Title
Cited by
Cited by
Year
An integrated encyclopedia of DNA elements in the human genome
ENCODE Project Consortium
Nature 489 (7414), 57-74, 2012
137742012
An accurate and robust imputation method scImpute for single-cell RNA-seq data
WV Li, JJ Li
Nature Communications 9 (1), 997, 2018
6502018
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
3962009
System wide analyses have underestimated protein abundances and the importance of transcription in mammals
JJ Li, PJ Bickel, MD Biggin
PeerJ 2, e270, 2014
3312014
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
3242014
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
2222014
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
1822011
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
1592012
Statistics or biology: the zero-inflation controversy about scRNA-seq data
R Jiang, T Sun, D Song, JJ Li
Genome biology 23 (1), 1-24, 2022
1412022
Benchmarking computational doublet-detection methods for single-cell RNA sequencing data
NM Xi, JJ Li
Cell systems 12 (2), 176-194. e6, 2021
1222021
Exaggerated false positives by popular differential expression methods when analyzing human population samples
Y Li, X Ge, F Peng, W Li, JJ Li
Genome biology 23 (1), 79, 2022
1102022
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
1042014
Neyman-Pearson classification algorithms and NP receiver operating characteristics
X Tong, Y Feng, JJ Li
Science advances 4 (2), eaao1659, 2018
772018
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
752012
scDesign2: a transparent simulator that generates high-fidelity single-cell gene expression count data with gene correlations captured
T Sun, D Song, WV Li, JJ Li
Genome biology 22 (1), 1-37, 2021
73*2021
Modeling and analysis of RNA-seq data: a review from a statistical perspective
WV Li, JJ Li
Quantitative Biology 6 (3), 195-209, 2018
702018
Statistics requantitates the central dogma
JJ Li, MD Biggin
Science 347 (6226), 1066-1067, 2015
642015
A statistical simulator scDesign for rational scRNA-seq experimental design
WV Li, JJ Li
Bioinformatics 35 (14), i41–i50, 2019
572019
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
572018
PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell RNA sequencing data
D Song, JJ Li
Genome biology 22 (1), 124, 2021
462021
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