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Heejung Shim

Showing results (1-10 of 26) with videos related to

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Biometrics|January 19, 2017
BayesCAT: Bayesian co-estimation of alignment and treeHeejung Shim, Bret Larget
Biostatistics (Oxford, England)|May 30, 2007
Integrating quantitative information from ChIP-chip experiments into motif findingHeejung Shim, Sündüz Keles
The Annals of Applied Statistics|February 6, 2018
WAVELET-BASED GENETIC ASSOCIATION ANALYSIS OF FUNCTIONAL PHENOTYPES ARISING FROM HIGH-THROUGHPUT SEQUENCING ASSAYSHeejung Shim, Matthew Stephens
Bioinformatics (Oxford, England)|May 31, 2022
NanoSplicer: accurate identification of splice junctions using Oxford Nanopore sequencingYupei You, Michael B Clark, Heejung Shim
Biorxiv : the Preprint Server for Biology|October 3, 2025
simPIC:flexible simulation of paired-insertion counts for single-cell ATAC sequencing dataSagrika Chugh, Heejung Shim, Davis J McCarthy
IEEE Transactions on Neural Networks and Learning Systems|May 23, 2024
Semi-Supervised Learning Under General Causal ModelsArcher Moore, Heejung Shim, Jingge Zhu, et al.
Biorxiv : the Preprint Server for Biology|December 23, 2024
Going beyond cell clustering and feature aggregation: Is there single cell level information in single-cell ATAC-seq data?Aaron Wing Cheung Kwok, Heejung Shim, Davis J McCarthy
BMC Bioinformatics|November 4, 2022
Trade-off between conservation of biological variation and batch effect removal in deep generative modeling for single-cell transcriptomicsHui Li, Davis J McCarthy, Heejung Shim, et al.
Genome Biology|September 17, 2025
A hierarchical, count-based model highlights challenges in scATAC-seq data analysis and points to opportunities to extract finer-resolution informationAaron Wing Cheung Kwok, Heejung Shim, Davis J McCarthy
BMC Proceedings|December 19, 2009
Genome-wide association studies using single-nucleotide polymorphisms versus haplotypes: an empirical comparison with data from the North American Rheumatoid Arthritis ConsortiumHeejung Shim, Hyonho Chun, Corinne D Engelman, et al.
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
Biometrics|January 19, 2017
BayesCAT: Bayesian co-estimation of alignment and treeHeejung Shim, Bret Larget
Biostatistics (Oxford, England)|May 30, 2007
Integrating quantitative information from ChIP-chip experiments into motif findingHeejung Shim, Sündüz Keles
The Annals of Applied Statistics|February 6, 2018
WAVELET-BASED GENETIC ASSOCIATION ANALYSIS OF FUNCTIONAL PHENOTYPES ARISING FROM HIGH-THROUGHPUT SEQUENCING ASSAYSHeejung Shim, Matthew Stephens
Bioinformatics (Oxford, England)|May 31, 2022
NanoSplicer: accurate identification of splice junctions using Oxford Nanopore sequencingYupei You, Michael B Clark, Heejung Shim
Biorxiv : the Preprint Server for Biology|October 3, 2025
simPIC:flexible simulation of paired-insertion counts for single-cell ATAC sequencing dataSagrika Chugh, Heejung Shim, Davis J McCarthy
IEEE Transactions on Neural Networks and Learning Systems|May 23, 2024
Semi-Supervised Learning Under General Causal ModelsArcher Moore, Heejung Shim, Jingge Zhu, et al.
Biorxiv : the Preprint Server for Biology|December 23, 2024
Going beyond cell clustering and feature aggregation: Is there single cell level information in single-cell ATAC-seq data?Aaron Wing Cheung Kwok, Heejung Shim, Davis J McCarthy
BMC Bioinformatics|November 4, 2022
Trade-off between conservation of biological variation and batch effect removal in deep generative modeling for single-cell transcriptomicsHui Li, Davis J McCarthy, Heejung Shim, et al.
Genome Biology|September 17, 2025
A hierarchical, count-based model highlights challenges in scATAC-seq data analysis and points to opportunities to extract finer-resolution informationAaron Wing Cheung Kwok, Heejung Shim, Davis J McCarthy
BMC Proceedings|December 19, 2009
Genome-wide association studies using single-nucleotide polymorphisms versus haplotypes: an empirical comparison with data from the North American Rheumatoid Arthritis ConsortiumHeejung Shim, Hyonho Chun, Corinne D Engelman, et al.
Pageof 3