w-cluster

A tool for data PCA(Principle Component Analysis) and cluster(K-Means & K-Medoids).

v1.0.20 URL: https://unpkg.com/w-cluster@1.0.20/dist/w-cluster.umd.js

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package tool PCA cluster k-medoids k-means WebWorkers nodejs browser

rna-seq-plots

RNA-Seq Plots is a collection of React.js components designed to visualise RNA sequencing data. The package includes a Volcano Plot and a Principal Component Analysis (PCA) plot, both of which are powered by Highcharts.

v1.1.1 URL: https://unpkg.com/rna-seq-plots@1.1.1/dist/rna-seq-plots.js

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react highcharts data-visualization volcano-plot genomics pca

pca-plot

The 'pca-plot' package is a way to check seq data quality. It visualises the data conditionally in a 2D or 3D plot (dependent on the number of PCs selected), where each point represents a sample. The distance between the points is a measure of the similar

v1.0.4 URL: https://unpkg.com/pca-plot@1.0.4/dist/pca-plot.js

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react highcharts data-visualization pca genomics

sklearn

Use Python's #1 machine learning library from Node.js

v0.4.0 URL: https://unpkg.com/sklearn@0.4.0/index.js

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scikit learn sklearn machine learning ml ai SelectorMixin CalibratedClassifierCV AffinityPropagation AgglomerativeClustering Birch DBSCAN FeatureAgglomeration KMeans BisectingKMeans MiniBatchKMeans MeanShift OPTICS SpectralClustering SpectralBiclustering SpectralCoclustering ColumnTransformer TransformedTargetRegressor EmpiricalCovariance EllipticEnvelope GraphicalLasso GraphicalLassoCV LedoitWolf MinCovDet OAS ShrunkCovariance CCA PLSCanonical PLSRegression PLSSVD DictionaryLearning FactorAnalysis FastICA IncrementalPCA KernelPCA LatentDirichletAllocation MiniBatchDictionaryLearning MiniBatchSparsePCA NMF MiniBatchNMF PCA SparsePCA SparseCoder TruncatedSVD LinearDiscriminantAnalysis QuadraticDiscriminantAnalysis DummyClassifier DummyRegressor AdaBoostClassifier AdaBoostRegressor BaggingClassifier BaggingRegressor ExtraTreesClassifier ExtraTreesRegressor GradientBoostingClassifier GradientBoostingRegressor IsolationForest RandomForestClassifier RandomForestRegressor RandomTreesEmbedding StackingClassifier StackingRegressor VotingClassifier VotingRegressor HistGradientBoostingRegressor HistGradientBoostingClassifier ConvergenceWarning DataConversionWarning DataDimensionalityWarning EfficiencyWarning FitFailedWarning NotFittedError UndefinedMetricWarning DictVectorizer FeatureHasher PatchExtractor CountVectorizer HashingVectorizer TfidfTransformer TfidfVectorizer GenericUnivariateSelect SelectPercentile SelectKBest SelectFpr SelectFdr SelectFromModel SelectFwe SequentialFeatureSelector RFE RFECV VarianceThreshold GaussianProcessClassifier GaussianProcessRegressor CompoundKernel ConstantKernel DotProduct ExpSineSquared Exponentiation Hyperparameter Kernel Matern PairwiseKernel Product RBF RationalQuadratic Sum WhiteKernel SimpleImputer IterativeImputer MissingIndicator KNNImputer DecisionBoundaryDisplay PartialDependenceDisplay IsotonicRegression AdditiveChi2Sampler Nystroem PolynomialCountSketch RBFSampler SkewedChi2Sampler KernelRidge LogisticRegression LogisticRegressionCV PassiveAggressiveClassifier Perceptron RidgeClassifier RidgeClassifierCV SGDClassifier SGDOneClassSVM LinearRegression Ridge RidgeCV SGDRegressor ElasticNet ElasticNetCV Lars LarsCV Lasso LassoCV LassoLars LassoLarsCV LassoLarsIC OrthogonalMatchingPursuit OrthogonalMatchingPursuitCV ARDRegression BayesianRidge MultiTaskElasticNet MultiTaskElasticNetCV MultiTaskLasso MultiTaskLassoCV HuberRegressor QuantileRegressor RANSACRegressor TheilSenRegressor PoissonRegressor TweedieRegressor GammaRegressor Isomap LocallyLinearEmbedding MDS SpectralEmbedding TSNE DistanceMetric ConfusionMatrixDisplay DetCurveDisplay PrecisionRecallDisplay PredictionErrorDisplay RocCurveDisplay CalibrationDisplay BayesianGaussianMixture GaussianMixture GroupKFold GroupShuffleSplit KFold LeaveOneGroupOut LeavePGroupsOut LeaveOneOut LeavePOut PredefinedSplit RepeatedKFold RepeatedStratifiedKFold ShuffleSplit StratifiedKFold StratifiedShuffleSplit StratifiedGroupKFold TimeSeriesSplit GridSearchCV HalvingGridSearchCV ParameterGrid ParameterSampler RandomizedSearchCV HalvingRandomSearchCV LearningCurveDisplay OneVsRestClassifier OneVsOneClassifier OutputCodeClassifier ClassifierChain MultiOutputRegressor MultiOutputClassifier RegressorChain BernoulliNB CategoricalNB ComplementNB GaussianNB MultinomialNB BallTree KDTree KernelDensity KNeighborsClassifier KNeighborsRegressor KNeighborsTransformer LocalOutlierFactor RadiusNeighborsClassifier RadiusNeighborsRegressor RadiusNeighborsTransformer NearestCentroid NearestNeighbors NeighborhoodComponentsAnalysis BernoulliRBM MLPClassifier MLPRegressor FeatureUnion Pipeline Binarizer FunctionTransformer KBinsDiscretizer KernelCenterer LabelBinarizer LabelEncoder MultiLabelBinarizer MaxAbsScaler MinMaxScaler Normalizer OneHotEncoder OrdinalEncoder PolynomialFeatures PowerTransformer QuantileTransformer RobustScaler SplineTransformer StandardScaler GaussianRandomProjection SparseRandomProjection LabelPropagation LabelSpreading SelfTrainingClassifier LinearSVC LinearSVR NuSVC NuSVR OneClassSVM SVC SVR DecisionTreeClassifier DecisionTreeRegressor ExtraTreeClassifier ExtraTreeRegressor Bunch Parallel

ml-pca

Principal component analysis

v4.1.1 URL: https://unpkg.com/ml-pca@4.1.1/lib/pca.js

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pca principal component analysis dimensionality reduction data mining datamining machine learning