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H. Ji

4 papers hereh-index 4812.4k citations153 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ME4
same name
  • H. Ji — 140 papers
  • H. Ji — 46 papers, h 40
  • H. Ji — 35 papers, h 28
  • H. Ji — 29 papers, h 28
  • H. Ji — 18 papers, h 10
  • H. Ji — 10 papers, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedGene set bagging for estimating replicability of gene set analyses

8 citations · 9 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ME2015★ 1 cited

A Provable Smoothing Approach for High Dimensional Generalized Regression with Applications in Genomics

Fang Han, Hongkai Ji, Zhicheng Ji +1

In many applications, linear models fit the data poorly. This article studies an appealing alternative, the generalized regression model. This model only assumes that there exists…

stat.ME2013

A Survival Copula Mixture Model for Comparing Two Genomic Rank Lists

Yingying Wei, Hongkai Ji

Analyses of high-throughput genomic data often lead to ranked lists of genomic loci. How to characterize concordant signals between two rank lists is a common problem with many app…

stat.ME2013

Joint Analysis of Differential Gene Expression in Multiple Studies using Correlation Motifs

Yingying Wei, Hongkai Ji

The standard methods for detecting differential gene expression are mostly designed for analyzing a single gene expression experiment. When data from multiple related gene expressi…

stat.ME2013★ 8 cited

Gene set bagging for estimating replicability of gene set analyses

Andrew E. Jaffe, John D. Storey, Hongkai Ji +1

Background: Significance analysis plays a major role in identifying and ranking genes, transcription factor binding sites, DNA methylation regions, and other high-throughput featur…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.