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HMCan corrects for the GC-content and copy number bias and then applies Hidden Markov Models to detect the signal from the corrected data.
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To identify the resulting FRET states, we applied hidden Markov modeling (HMM) analysis, which determines the states with a distinct FRET efficiency (Data Analysis in Materials and Methods).
In the next step, we applied "hidden nodes" algorithm to identify the most influential receptors that could trigger maximal possible transcriptional response.
These algorithms apply hidden Markov models (HMMs) to classify proteins on basis of their amino acid sequence and predict the occurrence of a specific protein domain.
This paper applies connected hidden Markov models (HMMs) to the transcription of drums from polyphonic musical audio.
Briefly, haplotype descent along each HS rat genome was inferred using the haplotype reconstruction method HAPPY (Mott et al. 2000), which applies a hidden Markov model simultaneously to the genotypes of the eight founder strains and the 46 HS rats.
It first splits the genome into equal sized bins and then applies a hidden Markov model (HMM) with certain number of states to segment the genome according to the combinations of chromatin modifications.
Perhaps when someone figures out how to combine big data and shoe leather to help students discover and apply for hidden gems, like the local Kiwanis Club grant that doesn't make it to a national database, scholarships will finally alter the return on investment students enjoy from a college degree.
As part of the application, several layers of foundation were applied to hide our beard shadow.
In[28], conventional direct sequence spread spectrum (DSSS) technique was applied to hide confidential information in MP3 and WAV signals.
After the prediction, expansion embedding combined with histogram shifting techniques proposed in [10] are applied to hide information bits reversibly.
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