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Benchmarking Integration of Single-cell Differential Expression

Their findings have been published in the March 2023 issue of Nature Communications.

Benchmarking Integration of Single-cell Differential Expression

Abstract Integration of single-cell RNA sequencing data between different samples has been a major challenge for analyzing cell populations. However, strategies to integrate differential expression analysis of single-cell data remain underi... Read More

Apr 14, 2023 By JooHyeon Heo Research
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Biclustering Big Data Analysis Identifies Cancer Suppressing microRNAs

Their findings have been published in the March 2019 issue of Nuclieic Acids Research.

Biclustering Big Data Analysis Identifies Cancer Suppressing microRNAs

“The amount of data we generate everyday is truly mind-boggling. In other words, depending on which analytical strategy you establish, you can make important discoveries and thus gain better understanding of cell conditions or disease... Read More

Mar 25, 2019 By JooHyeon Heo Research
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New Method for Finding Disease-Susceptibility Genes

Their research findings published in Nucleic Acids Research on March 19, 2018.

New Method for Finding Disease-Susceptibility Genes

A new study, affiliated with UNIST has recently presented a novel statistical algorithm, capable of identifying potential disease genes in a more accurate and cost-effective way. This algorithm has also been considered as a new promising ap... Read More

Mar 30, 2018 By JooHyeon Heo Research
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