Recent advances in the field of high throughput (meta-) transcriptomics and proteomics call
for easy and rapid methods enabling to explore not only single genes or proteins but also …

Abstract Machine learning (ML) is a powerful technique to tackle many problems in data
mining and predictive analytics. We believe that ML will be of considerable potentials in the …

Thyroid eye disease (TED), an autoimmune inflammatory disorder affecting the orbit,
exhibits a range of clinical manifestations. While the disease presentation can vary, cases …

Ensemble methods such as random forest works well on high-dimensional datasets.
However, when the number of features is extremely large compared to the number of …

Abstract Motivation Gene Set Enrichment Analysis (GSEA) is an algorithm widely used to
identify statistically enriched gene sets in transcriptomic data. However, GSEA cannot …

Motivation Flow cytometry (FCM) and transcription profiling are the two widely used assays
in translational immunology research. However, there is no data integration pipeline for …

Biallelic loss-of-function variants in the SMG9 gene, encoding a regulatory subunit of the
mRNA nonsense-mediated decay (NMD) machinery, are reported to cause heart and brain …

Gene set analysis (GSA) is one of the methods of choice for analyzing the results of current
omics studies; however, it has been mainly developed to analyze mRNA (microarray, RNA …

Background SMYD3, a member of the SET and MYND domain-containing (SMYD) family, is
a histone methyltransferase (HMT) and transcription factor that plays an important role in …

Ovarian cancer (OC) is the most malignant tumor in the female reproductive tract. Although
abundant molecular biomarkers have been identified, a robust and accurate gene …