Predictability of human differential gene expression
Differential expression (DE) is commonly used to explore molecular mechanisms of
biological conditions. While many studies report significant results between their groups of …
biological conditions. While many studies report significant results between their groups of …
Deep learning decodes the principles of differential gene expression
Identifying the molecular mechanisms that control differential gene expression (DE) is a
major goal of basic and disease biology. Here, we develop a systems biology model to …
major goal of basic and disease biology. Here, we develop a systems biology model to …
[HTML][HTML] Differential gene expression in disease: a comparison between high-throughput studies and the literature
R Rodriguez-Esteban, X Jiang - BMC medical genomics, 2017 - Springer
Background Differential gene expression is important to understand the biological
differences between healthy and diseased states. Two common sources of differential gene …
differences between healthy and diseased states. Two common sources of differential gene …
[HTML][HTML] Differential gene expression analysis tools exhibit substandard performance for long non-coding RNA-sequencing data
AT Assefa, K De Paepe, C Everaert, P Mestdagh… - Genome biology, 2018 - Springer
Abstract Background Long non-coding RNAs (lncRNAs) are typically expressed at low
levels and are inherently highly variable. This is a fundamental challenge for differential …
levels and are inherently highly variable. This is a fundamental challenge for differential …
Dream: powerful differential expression analysis for repeated measures designs
GE Hoffman, P Roussos - Bioinformatics, 2021 - academic.oup.com
Large-scale transcriptome studies with multiple samples per individual are widely used to
study disease biology. Yet, current methods for differential expression are inadequate for …
study disease biology. Yet, current methods for differential expression are inadequate for …
[HTML][HTML] The characteristic direction: a geometrical approach to identify differentially expressed genes
NR Clark, KS Hu, AS Feldmann, Y Kou, EY Chen… - BMC …, 2014 - Springer
Background Identifying differentially expressed genes (DEG) is a fundamental step in
studies that perform genome wide expression profiling. Typically, DEG are identified by …
studies that perform genome wide expression profiling. Typically, DEG are identified by …
Degrees of differential gene expression: detecting biologically significant expression differences and estimating their magnitudes
DR Bickel - Bioinformatics, 2004 - academic.oup.com
Motivation: Many methods of identifying differential expression in genes depend on testing
the null hypotheses of exactly equal means or distributions of expression levels for each …
the null hypotheses of exactly equal means or distributions of expression levels for each …
Patterns of regulatory activity across diverse human cell types predict tissue identity, transcription factor binding, and long-range interactions
NC Sheffield, RE Thurman, L Song, A Safi… - Genome …, 2013 - genome.cshlp.org
Regulatory elements recruit transcription factors that modulate gene expression distinctly
across cell types, but the relationships among these remains elusive. To address this, we …
across cell types, but the relationships among these remains elusive. To address this, we …
[HTML][HTML] Dissection of regulatory networks that are altered in disease via differential co-expression
Comparing the gene-expression profiles of sick and healthy individuals can help in
understanding disease. Such differential expression analysis is a well-established way to …
understanding disease. Such differential expression analysis is a well-established way to …
[HTML][HTML] High heterogeneity undermines generalization of differential expression results in RNA-Seq analysis
W Cui, H Xue, L Wei, J Jin, X Tian, Q Wang - Human genomics, 2021 - Springer
Abstract Background RNA sequencing (RNA-Seq) has been widely applied in oncology for
monitoring transcriptome changes. However, the emerging problem that high variation of …
monitoring transcriptome changes. However, the emerging problem that high variation of …