Multi-omics approaches to define calcific aortic valve disease pathogenesis
Calcific aortic valve disease sits at the confluence of multiple world-wide epidemics of aging,
obesity, diabetes, and renal dysfunction, and its prevalence is expected to nearly triple over …
obesity, diabetes, and renal dysfunction, and its prevalence is expected to nearly triple over …
[HTML][HTML] Machine learning in the prediction of cancer therapy
Resistance to therapy remains a major cause of cancer treatment failures, resulting in many
cancer-related deaths. Resistance can occur at any time during the treatment, even at the …
cancer-related deaths. Resistance can occur at any time during the treatment, even at the …
The effect of choosing optimizer algorithms to improve computer vision tasks: a comparative study
Optimization algorithms are used to improve model accuracy. The optimization process
undergoes multiple cycles until convergence. A variety of optimization strategies have been …
undergoes multiple cycles until convergence. A variety of optimization strategies have been …
Benchmarking of analysis strategies for data-independent acquisition proteomics using a large-scale dataset comprising inter-patient heterogeneity
K Fröhlich, E Brombacher, M Fahrner, D Vogele… - Nature …, 2022 - nature.com
Numerous software tools exist for data-independent acquisition (DIA) analysis of clinical
samples, necessitating their comprehensive benchmarking. We present a benchmark …
samples, necessitating their comprehensive benchmarking. We present a benchmark …
meGPS: a multi-omics signature for hepatocellular carcinoma detection integrating methylome and transcriptome data
Motivation Hepatocellular carcinoma (HCC) is a primary malignancy with a poor prognosis.
Recently, multi-omics molecular-level measurement enables HCC diagnosis and prognosis …
Recently, multi-omics molecular-level measurement enables HCC diagnosis and prognosis …
Data-driven identification of total RNA expression genes for estimation of RNA abundance in heterogeneous cell types highlighted in brain tissue
We define and identify a new class of control genes for next-generation sequencing called
total RNA expression genes (TREGs), which correlate with total RNA abundance in cell …
total RNA expression genes (TREGs), which correlate with total RNA abundance in cell …
Improving bulk RNA-seq classification by transferring gene signature from single cells in acute myeloid leukemia
The advances in single-cell RNA sequencing (scRNA-seq) technologies enable the
characterization of transcriptomic profiles at the cellular level and demonstrate great promise …
characterization of transcriptomic profiles at the cellular level and demonstrate great promise …
Knockdown of lncRNA MALAT1 alleviates LPS-induced acute lung injury via inhibiting apoptosis through the miR-194-5p/FOXP2 axis
C Nan, N Zhang, KCP Cheung, H Zhang… - Frontiers in cell and …, 2020 - frontiersin.org
Purpose We aimed to identify and verify the key genes and lncRNAs associated with acute
lung injury (ALI) and explore the pathogenesis of ALI. Research showed that lower …
lung injury (ALI) and explore the pathogenesis of ALI. Research showed that lower …
MrGPS: An m6A-related gene pair signature to predict the prognosis and immunological impact of glioma patients
N Zhang, F Yang, P Zhao, N Jin, H Wu… - Briefings in …, 2024 - academic.oup.com
Abstract N6-methyladenosine (m6A) RNA methylation is the predominant epigenetic
modification for mRNAs that regulates various cancer-related pathways. However, the …
modification for mRNAs that regulates various cancer-related pathways. However, the …
GPGPS: a robust prognostic gene pair signature of glioma ensembling IDH mutation and 1p/19q co-deletion
Motivation Many studies have shown that IDH mutation and 1p/19q co-deletion can serve as
prognostic signatures of glioma. Although these genetic variations affect the expression of …
prognostic signatures of glioma. Although these genetic variations affect the expression of …