about
NMFP: a non-negative matrix factorization based preselection method to increase accuracy of identifying mRNA isoforms from RNA-seq data.Large-scale mapping of mammalian transcriptomes identifies conserved genes associated with different cell states.Comparison of D. melanogaster and C. elegans developmental stages, tissues, and cells by modENCODE RNA-seq data.Sparse linear modeling of next-generation mRNA sequencing (RNA-Seq) data for isoform discovery and abundance estimation.Comparative analysis of the transcriptome across distant speciesBiclustering of linear patterns in gene expression dataComparative analysis of regulatory information and circuits across distant species.Gene expression. Statistics requantitates the central dogma.Epigenome overlap measure (EPOM) for comparing tissue/cell types based on chromatin states.Correspondence of D. melanogaster and C. elegans developmental stages revealed by alternative splicing characteristics of conserved exons.DNA regions bound at low occupancy by transcription factors do not drive patterned reporter gene expression in Drosophila.Developmental roles of 21 Drosophila transcription factors are determined by quantitative differences in binding to an overlapping set of thousands of genomic regionsSystem wide analyses have underestimated protein abundances and the importance of transcription in mammals.TROM: A Testing-Based Method for Finding Transcriptomic Similarity of Biological Samples.Hybrid Statistical and Mechanistic Mathematical Model Guides Mobile Health Intervention for Chronic Pain.Understanding patterns and correlates of daily pain using the Sickle cell disease Mobile Application to Record Symptoms via Technology (SMART).Quantitating translational control: mRNA abundance-dependent and independent contributions and the mRNA sequences that specify them.A quantitative proteomic analysis of cellular responses to high glucose media in Chinese hamster ovary cells.Large-scale comparative epigenomics reveals hierarchical regulation of non-CG methylation in Arabidopsis.Neyman-Pearson classification algorithms and NP receiver operating characteristics.An accurate and robust imputation method scImpute for single-cell RNA-seq data.Word and Sentence Embedding Tools to Measure Semantic Similarity of Gene Ontology Terms by Their DefinitionsA statistical simulator scDesign for rational scRNA-seq experimental designscImpute: Accurate And Robust Imputation For Single Cell RNA-Seq DataGenomic Applications of the Neyman–Pearson Classification ParadigmComprehensive mapping of mammalian transcriptomes identifies conserved genes associated with different cell differentiation statesTRANSCRIPTOME ANALYSIS USING NEXT-GENERATION SEQUENCINGSpliceosome Profiling Visualizes Operations of a Dynamic RNP at Nucleotide ResolutionAIDE: annotation-assisted isoform discovery with high precision
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description
hulumtuese
@sq
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Jingyi Jessica Li
@ast
Jingyi Jessica Li
@en
Jingyi Jessica Li
@es
Jingyi Jessica Li
@nl
type
label
Jingyi Jessica Li
@ast
Jingyi Jessica Li
@en
Jingyi Jessica Li
@es
Jingyi Jessica Li
@nl
prefLabel
Jingyi Jessica Li
@ast
Jingyi Jessica Li
@en
Jingyi Jessica Li
@es
Jingyi Jessica Li
@nl
P106
P1153
54787887600
P21
P31
P496
0000-0002-9288-5648