Sentence examples for model for occupancy from inspiring English sources

A new inhomogeneous Markov model for occupancy presence prediction is proposed and compared to commonly used models such as Probability Sampling, Artificial Neural Network, and Support Vector Regression.

To more accurately model Tup1-Ssn6 complex recruitment in rich media we generated a regression model for Tup1 occupancy using the experimentally measured occupancy of the recruiters at each regulatory region.

The algorithm consists of two parts: an environmental data driven model for the occupancy status detection and an integrated comfort algorithm for operating the indoor devices.

REG procedure in SAS statistical software package was used to create a regression model for p63 occupancy based on the chromatin features (no sequence information).

The compound Poisson model for bin occupancy that we present here assumes that the assignment of reads to bins is mechanistic and can be described by a Poisson process, and the expected number of reads per bin depends on the abundance of the genome to which the bin belongs.

In fact, the present results clearly show that inclusion of isolated AA/TT dinucleotides detracts from the strength of periodicities when all AA/TT steps are computed in both in vitro and in vivo libraries, which raises the question as to whether isolated AA/TT dinucleotides should even be included in predictive models for nucleosome occupancy.

PK-PD models for SERT occupancy, NET inhibition, and DHPG.

Here, we model interactions between adjacent nucleosomes using a nucleosome cooperativity function (NCF), resulting in a new thermodynamic model for predicting nucleosome occupancy.

We also applied a sequence-dependent model for calculating nucleosome occupancy to pseudogenes and obtained consistent pattern with experimental nucleosome organization.

To simplify this model and find the features with the most predictive power we then used MAXR (Maximum R Improvement) selection method, with parameter STOP = 3, to determine the best 3 variable model for predicting p63 occupancy.

This paper proposes a framework to model personalized occupancy profiles for representing occupants' long-term presence patterns.