Accurate characterization of tumor subtype is of paramount importance in guiding treatment decisions in pediatric cancers. Here, we present FRANK (Fully-connected RNA-based Augmentation Neural Klassifier), a machine learning approach for classifying pan-cancer pediatric tumors. We curated a set of 11,467 transcriptomes...
K. Sablauskas, T. Kiseļova, L. Bardina et al.· medRxiv· 0 citations
Investigating the utility of genome-wide association study - derived PRS and pathway-specific PRS in the Latvian population and demonstrating superior discrimination compared to pathway-specific PRS found incorporation of PRS enhances early-onset CAD risk prediction.
E. Kanašniece, Elita Ozola, L. Bardina et al.· American Heart Journal Plus:...· 0 citations
Although no subgroup-specific signatures were confirmed after correction for multiple testing, several candidate miRNAs were identified, supporting further investigation of miRNA-based biomarkers in CSU.
Lāsma Lapiņa, Katrīna Daila Neiburga-Vīgante, L. Gailīte et al.· Frontiers in Immunology· 0 citations
The results expand the genetic and clinical spectrum of CLCN3-related disease, provide a solid basis for genetic counseling, and uncover an unexpected link between gating-associated conformational changes and inhibition by TMEM9.
Maya M. Polovitskaya, T. Tkemaladze, L. Jensen et al.· EMBO Molecular Medicine· 0 citations
Clinical cohort findings that rare monoallelic LoF variants in ZNF536 underlie a genetic neurodevelopmental disorder characterized by developmental delay, autism, and behavioral dysregulation support a role for ZNF536 as a dosage-sensitive regulator of cortical development.
S. Hiatt, Wen-Jing Zhao, Zhong-Qing Wang et al.· American Journal of Human Ge...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
