Looking collaboration network pharmacology
1. Network-based drug–target interaction prediction: Using machine learning and network-based approaches to predict drug–target interactions.
2. Pathway-based drug–target interaction prediction: Using machine learning and pathway-based approaches to predict drug–target interactions.
3. Network pharmacology-based drug repurposing: Developing a network pharmacology-based approach to identify novel indications for existing drugs.
4. Network pharmacology-based drug combination analysis: Developing a network pharmacology-based approach to identify synergistic drug combinations.
5. Data integration for network pharmacology: Developing methods for integrating heterogeneous data sources for network pharmacology applications.
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I'm targeting to deploy a mesh network and manually configure MANET routing protocols. I'm preparing scenarios, architectures, and hard devices needed to do that. Are there some step-by-step...
03 March 2021 1,931 5 View
Is there a powerful system for the security of the systems distributed on IoT systems?
02 March 2021 3,858 10 View
01 March 2021 7,254 3 View
Hello, Could you please share any interesting research explaining how to choose the number of hidden layers and nodes per layer in case of regression problems using ANN? Thank you, any help would...
01 March 2021 6,200 3 View
I am working on creating deep neural network on geospatial dataset and wanted to know how to do the sampling so that I can increase the presence of solar panels in the images. I cannot use entire...
25 February 2021 3,936 6 View
Hello, I am a master's student studying in Yonsei Univeristy, Korea. I am trying to estimate the state of satellite, using Neural Network. Below is a simple flow of my study. 1. Train (t0 ~ t1)...
23 February 2021 6,383 3 View
Hello, I fit a classical dose response curve Y=Bottom + (Top-Bottom)/(1+10^((LogEC-X)*HillSlope)) to my data (not related to inhibitors etc). The model I use is purely qualitative but it fits...
23 February 2021 8,155 5 View
Dear scholars, I was wondering if there are any scientific methods to train a neural network or ANFIS when one of the input variables is stochastic (random) and more importantly non-measurable?...
17 February 2021 1,909 3 View
Are there papers that talk about the possible advantages and disadvantages of using autoencoders instead of CNNs for feature extraction in neural network?
15 February 2021 6,952 3 View
The data collected from various measurement devices often contains erroneous values - such as noise, missing values, etc. What are the popular techniques for pre-processing measurement data in...
14 February 2021 4,642 2 View