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Inferring RBP-mediated regulation in lung squamous cell carcinoma
(Plos One, 2016)
RNA-binding proteins (RBPs) play key roles in post-transcriptional regulation of mRNAs. Dysregulations in RBP-mediated mechanisms have been found to be associated with many steps of cancer initiation and progression. Despite ...
DriveWays: a method for identifying possibly overlapping driver pathways in cancer
(Nature Research, 2020)
The majority of the previous methods for identifying cancer driver modules output nonoverlapping modules. This assumption is biologically inaccurate as genes can participate in multiple molecular pathways. This is particularly ...
Statistical approaches for the analysis of dependency among neurons under noise
(MDPI, 2020)
Neuronal noise is a major factor affecting the communication between coupled neurons. In this work, we propose a statistical toolset to infer the coupling between two neurons under noise. We estimate these statistical ...
Interactions of graphene oxide and graphene nanoplatelets with the in vitro Caco-2/HT29 model of intestinal barrier
(Scientific Reports, 2020)
Carbon-based nanomaterials are being increasingly used, demanding strong information to support their safety in terms of human health. As ingestion is one of the most important exposure routes in humans, we have determined ...
Automated bird counting with deep learning for regional bird distribution mapping
(Animals, 2020)
A challenging problem in the field of avian ecology is deriving information on bird population movement trends. This necessitates the regular counting of birds which is usually not an easily-achievable task. A promising ...
Exchange rate speculation and heterogeneous expectations in a small open economy
(Nonlinear Dynamics, Psychology, and Life Sciences, 2020)
We consider a standard macroeconomic model of a small open economy in which the flow of capital on the international foreign exchange market crucially depends on the expected exchange rate. These expectations about the ...
Estimations of giant dipole resonance parameters using artificial neural network
(Applied Radiation and Isotopes, 2021)
In this study; Giant Dipole Resonance (GDR) parameters of the spherical nucleus have been estimated by using artificial neural network (ANN) algorithms. The ANN training has been carried out with the Levenberg–Marquardt ...
A review on nanotoxicity and nanogenotoxicity of different shapes of nanomaterials
(Journal of applied Toxicology, 2021)
Nanomaterials (NMs) generally display fascinating physical and chemical properties that are not always present in bulk materials; therefore, any modification to their size, shape, or coating tends to cause significant ...
Multigene genetic programming for sediment transport modeling in sewers for conditions of non-deposition with a bed deposit
(Elsevier, 2018)
It is known that construction of large sewers based on consideration of flow with non-deposition without a bed deposit is not economical. Sewer design based on consideration of flow with non-deposition with a bed deposit ...
Predicting clinical outcomes in neuroblastoma with genomic data integration
(Biology Direct, 2018)
Background: Neuroblastoma is a heterogeneous disease with diverse clinical outcomes. Current risk group models require improvement as patients within the same risk group can still show variable prognosis. Recently collected ...
















