コード例 #1
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        /// <summary>
        /// Perform FFT-based peak alignment.
        /// </summary>
        /// <param name="dataset">Input dataset.</param>
        /// <returns>Aligned dataset.</returns>
        /// <exception cref="System.ObjectDisposedException">thrown if this object has been disposed.</exception>
        public IDataset AlignPeaksFft(IDataset dataset)
        {
            ValidateDispose();
            var pafftResult = _preprocessing.pafft(mz: dataset.GetRawMzArray(), data: dataset.GetRawIntensities());

            return(new BasicTextDataset(
                       mz: dataset.GetRawMzArray(),
                       data: (double[, ])pafftResult,
                       coordinates: dataset.GetRawSpacialCoordinates(is2D: true)));
        }
コード例 #2
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        /// <summary>
        /// Removes the baseline.
        /// </summary>
        /// <param name="dataset">Input dataset.</param>
        /// <returns>Dataset without baseline.</returns>
        /// <exception cref="System.ObjectDisposedException">thrown if this object has been disposed.</exception>
        public IDataset RemoveBaseline(IDataset dataset)
        {
            ValidateDispose();
            var baselineRemovalResult =
                _preprocessing.remove_baseline(mz: dataset.GetRawMzArray(), data: dataset.GetRawIntensities());

            return(new BasicTextDataset(
                       mz: dataset.GetRawMzArray(),
                       data: (double[, ])baselineRemovalResult,
                       coordinates: dataset.GetRawSpacialCoordinates(is2D: true)));
        }
コード例 #3
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        public void CreateFromFileTest()
        {
            Assert.DoesNotThrow(code: () => { _dataset = new BasicTextDataset(textFilePath: "small-test.txt"); },
                                message: "Dataset failed to initialize from file.");
            Assert.Throws <IOException>(code: () =>
            {
                _dataset = new BasicTextDataset(textFilePath: "wrong-filepath.txt");
            },
                                        message: "Dataset has been initialized using wrong file path.");

            var coordinates = _dataset.SpatialCoordinates;
            var enumerator  = coordinates.GetEnumerator();

            enumerator.MoveNext();
            var sc = enumerator.Current;

            Assert.AreEqual(expected: 1,
                            actual: sc.X,
                            message: "Spatial coordinates differ");
            Assert.AreEqual(expected: 1,
                            actual: sc.Y,
                            message: "Spatial coordinates differ");
            Assert.AreEqual(expected: 0,
                            actual: sc.Z,
                            message: "Spatial coordinates differ");

            enumerator.MoveNext();
            sc = enumerator.Current;
            Assert.AreEqual(expected: 2,
                            actual: sc.X,
                            message: "Spatial coordinates differ in second spectrum");
            Assert.AreEqual(expected: 1,
                            actual: sc.Y,
                            message: "Spatial coordinates differ in second spectrum");
            Assert.AreEqual(expected: 0,
                            actual: sc.Z,
                            message: "Spatial coordinates differ in second spectrum");

            Assert.AreEqual(expected: _dataset.GetRawMzArray(),
                            actual: new[] { 899.99, 902.58, 912.04 },
                            message: "The m/zs differ");
            Assert.AreEqual(expected: _dataset.GetRawIntensityArray(spectrumIdx: 0),
                            actual: new[] { 12.0, 20.0, 0.0 },
                            message: "The intensities of first spectrum differs");
        }
コード例 #4
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        /// <summary>
        /// Estimates the GMM model from the data set.
        /// </summary>
        /// <param name="dataset">Input dataset.</param>
        /// <returns>Estimated model</returns>
        /// <exception cref="System.ObjectDisposedException">thrown if this object has been disposed.</exception>
        public GmmModel EstimateGmm(IDataset dataset)
        {
            ValidateDispose();
            var originalMz  = dataset.GetRawMzArray();
            var matlabModel = _gmm.estimate_gmm(originalMz, data: dataset.GetRawIntensities());
            var model       = new GmmModel(matlabModel, originalMz);

            return(model);
        }
コード例 #5
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        /// <summary>
        /// Normalizes dataset by TIC-based method.
        /// </summary>
        /// <param name="dataset">Input dataset.</param>
        /// <returns>Normalized dataset.</returns>
        /// <exception cref="System.ObjectDisposedException">thrown if this object has been disposed.</exception>
        public IDataset NormalizeByTic(IDataset dataset)
        {
            ValidateDispose();
            var normalizationResult = _preprocessing.ticnorm(data: dataset.GetRawIntensities());

            return(new BasicTextDataset(
                       mz: dataset.GetRawMzArray(),
                       data: (double[, ])normalizationResult,
                       coordinates: dataset.GetRawSpacialCoordinates(is2D: true)));
        }
コード例 #6
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        /// <summary>
        /// Applies the GMM model onto data.
        /// </summary>
        /// <param name="model">The model.</param>
        /// <param name="dataset">Input dataset.</param>
        /// <returns>Convolved data.</returns>
        /// <exception cref="System.ObjectDisposedException">thrown if this object has been disposed.</exception>
        /// <exception cref="InvalidOperationException">Applying model build on different m/z axis.</exception>
        public IDataset ApplyGmm(GmmModel model, IDataset dataset)
        {
            ValidateDispose();
            if (!dataset.GetRawMzArray()
                .SequenceEqual(model.OriginalMz))
            {
                throw new InvalidOperationException(message: "Applying model built on different m/z axis.");
            }
            var matlabModel = model.MatlabStruct;
            var applyResult = _gmm.apply_gmm(matlabModel, data: dataset.GetRawIntensities(), mz: dataset.GetRawMzArray());
            var data        = (double[, ])((MWStructArray)model.MatlabStruct).GetField(fieldName: "mu");
            var mz          = new double[data.GetLength(dimension: 0)];

            Buffer.BlockCopy(data, srcOffset: 0, dst: mz, dstOffset: 0, count: data.GetLength(dimension: 0));
            return(new BasicTextDataset(mz, data: (double[, ])applyResult, coordinates: dataset.GetRawSpacialCoordinates(is2D: true)));
        }