align.clustalw | Multiple sequence alignment by means of ClustalW |
align.MEME | Multiple sequence alignment by means of MEME. |
Alignment | To line up Transcription Factor Binding Sites through... |
align.muscle | Multiple sequence alignment by means of Muscle (MUltiple... |
BackgroundOrganism | Matrix of background frequencies |
CalculInformation | Information content in each position of a set of aligned DNA... |
CalculPSSM | Position Specific Scoring Matrices from a set of aligned... |
CalculPWM | CalculPWM: To calculate Position Weight Matrix |
CalculRedundancy | CalculRedundancy: To calculate the redundancy |
CalculScores | Calcul Score of a Sequence, using a loggods matrix |
CalculSimilarity | Similarity Score between a Sequence and a PSSM model |
chooseModel | ChooseModel: Choose the best model |
classMODEL | classMODEL: To choose the model |
ConstructModel | A set of functions for training of motif discovery... |
correctionaprox | Correction Entropy Approximate from the Finite Sample Size... |
correction.entropy | Correction entropy from the Finite Sample Size Effect |
correction.redundancy | Correction redundancy from the Finite Sample Size Effect |
CreateConsensus | Consensus Sequence for a DNA motif |
detection | Detection: A set of functions for detection of TFBS |
detector_1rOrdre_diff | Detection of Transcription Factor Binding Sites Through... |
detector_2nOrdre | Detection of Transcription Factor Binding Sites Through... |
detector_2nOrdre_init | Detection of Transcription Factor Binding Sites Through... |
diffInstructions | The measurement of the variation of the total redundancy |
DivergenceDROSOPHILA | DivergenceDROSOPHILA: Given a Transcription factor chooses... |
DivergenceHOMO | DivergenceHOMO: Given a Transcription factor chooses the... |
DivergenceMUS | DivergenceMUS: Given a Transcription factor chooses the model... |
DivergenceRATTUS | DivergenceRATTUS: Given a Transcription factor chooses the... |
divergence.Renyi | Renyi divergence |
divergence.Shannon | Divergencia.Shannon: Mutual Information |
DrosophilaDivergence | A library of models for Divergence algorithm and _Drosophila... |
DrosophilaEntropy | A library of models for Entropy algorithm and _Drosophila... |
DrosophilaQresiduals | A library of models for Qresiduals algorithm and _Drosophila... |
entropy.corrected | Correction of the Finite Sample Size Effect |
EntropyDROSOPHILA | EntropyDROSOPHILA: Given a Transcription factor chooses the... |
EntropyHOMO | EntropyHOMO: Given a Transcription factor chooses the model... |
entropy.joint | To calculate joint entropy |
EntropyMUS | EntropyMUS: Given a Transcription factor chooses the model... |
EntropyRATTUS | EntropyRATTUS: Given a Transcription factor chooses the model... |
entropy.Renyi | Renyi Entropy |
entropy.Shannon | Shannon Entropy |
Hmemory | Library of entropy values |
HomoDivergence | A library of models for Divergence algorithm and _Homo... |
HomoEntropy | A library of models for Entropy algorithm and _Homo sapiens_... |
HomoQresiduals | A library of models for Qresiduals algorithm and _Homo... |
Hread | To read Entropy values |
iicc | Initial conditions for the MEET package |
JacksonParameters | JacksonParameters: To calculates the parameters needed to... |
joint.probability | Joint Porbability |
kfold.Divergence | Leave-one-out cross-training for parametric divergence... |
kfold.Entropy | Leave-one-out cross-training for Renyi entropy (ITEME) |
kfold.MATCH | MATCH training process |
kfold.MDscan | Leave-one-out cross-training for MDscan. |
kfold.MEME | Leave-one-out cross-training for MEME |
kfold.PCA | PCA |
kfold.transMEME | Leave-one-out cross-training for MEME/MAST through... |
MEET | MEET: Motif Elements Estimation Toolkit |
MEET-package | MEET: Motif Elements Estimation Toolkit |
MImemory | Library of PredictDivergence values |
MIread | To read PredictDivergence values |
missing.fun | Missing values |
Model | Creates a model class |
ModelDivergence | To create Model Divergence |
ModelEntropy | To create Model Entropy |
ModelMATCH | Match algorithm to detect TFBS in a sequence |
ModelMDscan | MDscan algortihm to detect TFBS within a sequence |
ModelMEME | MEME algortihm to detect TFBS within a sequence |
ModelPCA | PCA model for a set of TFBS |
Models | To create Detection Model |
ModeltransMEME | To create Model transMEME |
motif.mast | Read output mast |
MusDivergence | A library of models for Divergence algorithm and _Mus... |
MusEntropy | A library of models for Entropy algorithm and _Mus musculus_... |
MusQresiduals | A library of models for Qresiduals algorithm and _Mus... |
numericalDNA | Conversion of nucleotides to numerical vectors |
numericalTF | Matrix of a numerical motif |
organism | Matrix of background frequencies |
PCanalysis | PC analysis on numerical DNA sequences |
PredictDivergence | A set of functions for detection of Transcription Factor... |
PredictEntropy | PredictEntropy: Detection of Transcription Factor Binding... |
Prediction | To detect Transcription Factor Binding sites by means of a... |
PredictMATCH | MATCH algorithm to detect TFBS in a sequence |
PredictMDscan | MDscan algorithm to detect TFBS in a sequence |
PredictMEME | MEME algorithm to detect TFBS in a sequence |
PredictPCA | Q-residuals detection of TFBS, using a principal components... |
PredicttransMEME | MAST algorithm to detect TFBS in a sequence |
probability | Probability |
probability.couple | Background joint probability |
pvalue | P value |
QresidualsDROSOPHILA | QresidualsDROSOPHILA: Given a Transcription factor chooses... |
QresidualsHOMO | QresidualsHOMO: Given a Transcription factor chooses the... |
QresidualsMUS | QresidualsMUS: Given a Transcription factor chooses the model... |
QresidualsRATTUS | QresidualsRATTUS: Given a Transcription factor chooses the... |
QtoJackson | Q to Jackson: transform a Q-residual into a confidence... |
RattusDivergence | A library of models for Divergence algorithm and _Rattus... |
RattusEntropy | A library of models for Entropy algorithm and _Rattus... |
RattusQresiduals | A library of models for Qresiduals algorithm and _Rattus... |
Read.aligned | Read nucleotide sequences |
read.mast | Read output mast |
readMEME | Read MEME motifs and consensus sequences |
redundancy | To calculate redundancy |
RenyiOrder | Renyi entropy and Divergence order |
ROCmodel | To choose the best paramater for a model |
run.read.MDscan | Run and read MDscan on training |
scoreMDscan | Output MDscan method |
Sequence | Sequence of a DNA motif |
standardout | Standard output detector |
TFlogodds | Logodds for a motif PSSM |
TranscriptionFactor | Transcription Factor Sequences |
writeMEME | Write a training matrix in a MEME/MAST format |
writeResultsHTML | Writes the results of a MEET detection to HTML. |
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