Now showing items 1-4 of 4
A New Approach for Predicting the Value of Gene Expression: Two-way Collaborative Filtering
Background: Predicting the value of gene expression in a given condition is a challenging topic in computational systems biology. Only a limited number of studies in this area have provided solutions to predict the expression ...
Prediction of Protein Metal Binding Sites Using Deep Neural Networks
Metals have crucial roles for many physiological, pathological and diagnostic processes. Metal binding proteins or metalloproteins are important for metabolism functions. The proteins that reach the three-dimensional ...
On computer-aided prognosis of septic shock from vital signs
Sepsis is a life-threatening condition due to the reaction to an infection. With certain changes in circulatory system, sepsis may progress to septic shock if it is left untreated. Therefore, early prognosis of septic shock ...
mirLSTM: A Deep Sequential Approach to MicroRNA Target Binding Site Prediction
MicroRNAs (miRNAs) are small and non-coding RNAs of similar to 21-23 base length, which play critical role in gene expression. They bind the target mRNAs in the post-transcriptional level and cause translational inhibition ...