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Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases
(Oxford Univ Press, 2019)
The identification of interactions between drugs/compounds and their targets is crucial for the development of new drugs. In vitro screening experiments (i.e. bioassays) are frequently used for this purpose; however, ...
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
(Bmc, 2019)
Background The Critical Assessment of Functional Annotation (CAFA) is an ongoing, global, community-driven effort to evaluate and improve the computational annotation of protein function. Results Here, we report on the ...
Off-the-Shelf Connectors for Interdisciplinary Components
(IOS Press, 2019)
Introduction: Solutions based on software components, especially for heterogeneous constituents such as those pertaining to different disciplines suffer the interoperability burden. Adaptor technologies have been introduced ...
Manipulating attributes of natural scenes via hallucination
(Association for Computing Machinery, 2019)
In this study, we explore building a two-stage framework for enabling users to directly manipulate high-level attributes of a natural scene. The key to our approach is a deep generative network that can hallucinate images ...
LU triangularization extreme learning machine in EEG cognitive task classification
(Springer, 2019)
Electroencephalography (EEG) has been used as a promising tool for investigation of brain activity during cognitive processes. The aim of this study is to reveal whether EEG signals can be used for classifying cognitive ...
Localization and Point Cloud Based 3D Mapping with Autonomous Robots
(Avrupa Bilim ve Teknoloji Dergisi, 2019)
In this study, localization and environment mapping application is aimed with an autonomous robot. A new algorithm is presented to scan a larger area, to produce faster and more accurate results. The mapping process is ...
ECG based human identification using Second Order Difference Plots
(Elsevier, 2019)
Background and objective: ECG is one of the biometric signals that has been studied in peer-reviewed over past years. The developments on the signal analysis methods show that the studies on the ECG would continue unabatedly. ...
DEEPred: Automated Protein Function Prediction with Multi-task Feed-forward Deep Neural Networks
(Nature Publishing Group, 2019)
Automated protein function prediction is critical for the annotation of uncharacterized protein sequences, where accurate prediction methods are still required. Recently, deep learning based methods have outperformed ...
Differential convolutional neural network
(Elsevier, 2019)
Convolutional neural networks with strong representation ability of deep structures have ever increasing popularity in many research areas. The main difference of Convolutional Neural Networks with respect to existing ...