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This study applies an unsupervised hidden Markov model algorithm to analyse genomic assays such as ChIP seq and DNase-seq in order to identify new classes of functional elements and new instances of existing functional element types.
The authors in [3] present a multiple model algorithm to eliminate the range ambiguity problem in an HPRF radar.
Typically, to apply a QSAR model the user has to calculate chemical descriptors, then apply the model algorithm to get the result [13].
I use a lottery model algorithm to form the scale-free networks, i.e., the probability of an existing gene acquiring a connection to a new gene is proportional to the number of existing connections [57].
Using multiple independent INDEL calling pipelines with machine learning based consensus model algorithm to produce a consensus call set we were able to maximize the consensus call set's sensitivity and specificity.
This problem is NP-hard [ 33], and thus it is unlikely that there exists an efficient (polynomial-time in the size of the model) algorithm to obtain a globally optimal solution.
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Our method utilized standard dynamic programming hidden markov model algorithms to analyze up to four sequences.
In this article, we propose a new spring-model algorithm to resolve the problems mentioned above with the presence of anchors.
The ordinary sensor node runs automatic ARIMA modeling algorithm to build ARIMA prediction model automatically.
In this paper, we consider a hybrid model which employs SVM to model the KF output that represents the linear error and FOS used as AR modeling algorithm to model the nonlinear errors.
The automatic ARIMA modeling-based data aggregation scheme works as follows: First of all, the ordinary sensor node runs automatic ARIMA modeling algorithm to build an appropriate ARIMA prediction model.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com