• hmm

  • Referenced in 14 articles [sw05422]
  • hidden Markov model (HMM) is one in which you observe a sequence of emissions ... states the model went through to generate the emissions. Analyses of hidden Markov models seek...
  • PennCNV

  • Referenced in 16 articles [sw19390]
  • Here we present PennCNV, a hidden Markov model (HMM) based approach, for kilobase-resolution detection...
  • TileMap

  • Referenced in 13 articles [sw35530]
  • average method (MA) or a hidden Markov model (HMM). Unbalanced mixture subtraction is proposed...
  • R/qtl

  • Referenced in 13 articles [sw20451]
  • mapping is the hidden Markov model (HMM) technology for dealing with missing genotype data...
  • Infernal

  • Referenced in 11 articles [sw17000]
  • search based on accelerated profile hidden Markov model (HMM) methods and HMM-banded CM alignment...
  • HMMER

  • Referenced in 17 articles [sw10514]
  • feasible to make efficient profile hidden Markov model (profile HMM) searches...
  • SRN/HMM

  • Referenced in 9 articles [sw02952]
  • recurrent network(SRN) and the hidden Markov models(HMM) are combined in this approach...
  • KinasePhos

  • Referenced in 8 articles [sw22468]
  • work, KinasePhos 1.0, incorporated profile hidden Markov model (HMM) with flanking residues of the kinase...
  • EasyGene

  • Referenced in 7 articles [sw17322]
  • finder is based on a hidden Markov model (HMM) that is automatically estimated...
  • HMM

  • Referenced in 4 articles [sw11733]
  • package HMM: HMM - Hidden Markov Models. Easy to use library to setup, apply and make...
  • HMM-DM

  • Referenced in 4 articles [sw23510]
  • HMM-DM: identifying differentially methylated regions using a hidden Markov model. DNA methylation ... have developed a new approach named HMM-DM to detect DM regions between two biological ... approach first uses a hidden Markov model (HMM) to identify DM CG sites accounting...
  • marked

  • Referenced in 4 articles [sw14404]
  • corrects for tag loss. Hidden Markov model (HMM) implementations of CJS and multistate models with...
  • HMMmix

  • Referenced in 4 articles [sw13500]
  • emission distributions. In unsupervised classification, Hidden Markov Models (HMM) are used to account ... parametric family. In this paper, a semiparametric model where the emission distributions are a mixture ... algorithm can be adapted to infer the model parameters. For the initialization step, starting from ... hierarchical method to combine them into the hidden states is proposed. Three likelihood-based criteria...
  • PROFtmb

  • Referenced in 4 articles [sw11343]
  • PROFtmb is a profile-based Hidden Markov Model (HMM) with an architecture mirroring the structure...
  • Sphinx-4

  • Referenced in 3 articles [sw21671]
  • core research of hidden Markov model (HMM) speech recognition systems. The design of Sphinx...
  • PredGPI

  • Referenced in 3 articles [sw17176]
  • method that, by coupling a Hidden Markov Model (HMM) and a Support Vector Machine...
  • MedPost

  • Referenced in 3 articles [sw07991]
  • speech tagger employing a hidden Markov model (HMM) to combine contextual information with lexical information...
  • swim

  • Referenced in 2 articles [sw18261]
  • developed a new Hidden Markov Model (HMM) for identifying behavioral states from animal tracks with ... error, which we called the Hidden Markov Movement Model (HMMM). We implemented as the basis ... package TMB for rapid model fitting. 3. We compared the HMMM to a modified version ... tracks, the DCRWSnome, and to a common HMM for animal tracks fitted with...
  • gpdsHMM

  • Referenced in 2 articles [sw14913]
  • Matlab environment. A Hidden Markov Model (HMM) Toolbox within the Matlab environment is presented...
  • ClawHMMER

  • Referenced in 2 articles [sw23248]
  • Viterbi probability of a hidden Markov model (HMM) of a desired sequence family for each...