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Fundamentally, a comprehensive basis set for a molecule can be covered by placing a large set of functions on a single atom.
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It is well known that neural networks can approximate a large set of continuous functions defined on a compact set to an arbitrary accuracy.
The paper [37] treats an application of partial differential equations, considering that neural networks can approximate a large set of continuous functions defined on a compact set to an arbitrary accuracy.
Here we investigate a large set of protein functions in living cells despite the domains, which contribute to them.
To create a reasonable library of possible responses to smoking, we included a large set of gamma-variate functions and exponential functions in the library.
The importance of this response is highlighted by a large set of loss-of-function mutations of KCNQ1 or KCNE1 that have been associated with Long QT Syndrome and result in an elevated risk of fatal arrhythmias during times of stress (Paavonen et al., 2001; Schwartz et al., 2001; Hedley et al., 2009).
We also find that NEUROD2 binds to a large set of genes with functions in layer-specific differentiation and in axonal pathfinding of cortical projection neurons.
In addition, an object-oriented data-access interface between the relational database and the application layer is provided in the form of a large set of wrapper class functions, in order to provide easy, extensible, and fast data access as well as to prevent major changes in the application when a schema change occurs during the evolution of PathCase-SB.
Cell adhesion and motility are complex processes that require a large set of coordinated protein functions; EGF affects these processes by inducing certain genes, e.g., α-actinin, cadherin 13, thrombin receptor, SMAD3 and SMAD7, VEGF-A and VEGF-C (Additional file 2: Table S3b, 3e), while suppressing others, e.g., desmocollins 1 and 2, desmoglein 1, cadherins, etc. (Additional file 2: Table S3h).
We applied the model to a large set of proteins of unknown function, and predicted functions for thousands of these proteins ranging from general to very specific.
Once data is marked as "GPU" data using these functions, Jacket provides native GPU implementations of a large set of the standard MATLAB functions to operate on that data.
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