The identifier often refers to the page range 1529–1537 in a seminal 2017 study published in the journal Bioinformatics . Key Scientific Context: "1537" and "RAR"
The most prominent connection between these terms in academic literature involves the development of methods used to identify how specific RNAs relate to various diseases.
If you are looking for the software or datasets associated with this research, they are typically hosted on public developer repositories: Download 1537 rar
: Matrix factorization-based data fusion for the prediction of lncRNA–disease associations , published in Bioinformatics , 2017; 34(9): 1529–1537.
: The sheng-n/lncRNA-disease-methods repository hosts various matrix factorization methods, including the MFLDA code mentioned on pages 1529–1537. The identifier often refers to the page range
Matrix Factorization for disease associations (pp. 1529-1537) Bioinformatics / GitHub Monitoring blood coagulation in real-time Leukemia Research PML/RARα fusion proteins in APL treatment ScienceDirect
: For deeper articles on the Resonant Acoustic Rheometry (RAR) system—a technology used for quantifying blood coagulation—you can find technical documentation and data supplements on Nature or PubMed Central . Summary Table: Related Biological RAR Research LncRNA Prediction RARs are nuclear receptors (like RARα
: In medical biology, RARs are nuclear receptors (like RARα , RARβ , and RARγ ) that mediate the effects of Vitamin A (retinoic acid). These are frequent subjects in the very datasets and prediction models discussed in the aforementioned paper.