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Toplam kayıt 3, listelenen: 1-3
COMPUTATIONAL IDENTIFICATION OF MICRORNAS FROM SSDNA VIRUSES
(Eskişehir Teknik Üniversitesi, 2018)
MicroRNAs (miRNAs) are post-transcriptional regulators of gene expression and the fact that they are associated with various disease phenotypes is one of the main reasons for their importance. The complexity of experimental ...
IGPRED-MultiTask: A Deep Learning Model to Predict Protein Secondary Structure, Torsion Angles and Solvent Accessibility
(IEEE COMPUTER SOC, 2023)
Protein secondary structure, solvent accessibility and torsion angle predictions are preliminary steps to predict 3D structure of a protein. Deep learning approaches have achieved significant improvements in predicting ...
Developing a label propagation approach for cancer subtype classification problem
(TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEYATATURK BULVARI NO 221, KAVAKLIDERE, ANKARA 00000, TURKEY, 2022)
Cancer is a disease in which abnormal cells grow uncontrollably and invade other tissues. Several types of cancer have various
subtypes with different clinical and biological implications. Based on these differences, ...