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Foat et al. proposed MatrixREDUCE [ 17], a statistical mechanics method that took high-throughput measurements of binding affinity as inputs and performed a least-squares fit to estimate the position specific affinity matrix that contained the relative energy contribution of each nucleotide at different positions.
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We engineer cells that can both sense desired ligand inputs and perform designed output functions.
The general model architecture they used is called a recurrent neural network: a set of software modules designed to accept inputs and perform tasks similar to how biological neurons operate.
Her lab is also developing new computing approaches inspired by decision-making processes in neural networks to allow molecular robots to respond to their environments, compute specific inputs, and perform varying tasks, such as recognizing patterns that contain 100 bits of information.
This suggests that the biophysical oscillatory behavior of neurons and synapses leads to selecting the corresponding frequency of the inputs and performing the same computation as for the Hebbian linear case of the previous section: computing the correlation of the (filtered) inputs.
Prior model publication in the statistics literature is not a sufficient indicator of a model's validity, and authors of modeling studies should be encouraged to take steps to increase the validity of their study by using systematically reviewed data inputs and performing sensitivity analyses and external validation.
This program used a Neighbor-joining phylogenetic tree (constructed using the GTR + Γ4 model of nucleotide substitutions) as input and performed a linear regression between the genetic distance from the root and the sampling time for each sequence.
We used Ensembl gene IDs of H. sapiens as input and performed two-tailed comparison between SCCS genes and non-SCCS genes.
For example, Miller and Blair (2009) focused on the changes in input coefficients and performed an additive decomposition of the Leontief inverse.
Although there is substantial uncertainty regarding PrEP-related parameters, we employed wide ranges (within plausible bounds) for our input parameters and performed extensive sensitivity analyses.
To address the substantial uncertainty regarding PrEP-related resistance, we employed wide ranges within plausible bounds for input parameters and performed extensive sensitivity analyses.
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