• TISEAN

  • Referenced in 161 articles [sw00967]
  • TISEAN package. We describe the implementation of methods of nonlinear time series analysis which ... algorithms for data representation, prediction, noise reduction, dimension and Lyapunov estimation, and nonlinearity testing...
  • CONN

  • Referenced in 2 articles [sw26510]
  • noise correction method (CompCor) strategy for physiological and other noise source reduction, additional removal ... well as task-related data. Compared to methods that rely ... global signal regression, the CompCor noise reduction method allows for interpretation of anticorrelations as there...
  • Tweezercalib

  • Referenced in 2 articles [sw00987]
  • found in Ref. [3].Solution method:Elimination of cross-talk between quadrant photo-diodes, output ... harmonic trap. Data compression and noise reduction by blocking method applied to power spectrum. Full...
  • NARROMI

  • Referenced in 6 articles [sw24066]
  • NARROMI: a noise and redundancy reduction technique improves accuracy of gene regulatory network inference. MOTIVATION ... regulatory mechanisms within the cell. Despite various methods developed for reconstruction of GRNs from gene ... high false positive rate owing to the noise inherited in the data, especially...
  • lpc

  • Referenced in 5 articles [sw11217]
  • statistic for each gene. The LPC method involves projecting these conventional gene scores onto ... penalty in order to de-noise the resulting projections. We present a theoretical framework under ... provide a marked reduction in false discovery rates over the conventional methods on both real...
  • INLOCANDA

  • Referenced in 2 articles [sw34288]
  • noise in gene expression data. Existing methods for the identification of a transitive reduction ... network. In this paper, we propose the method INLOCANDA, which learns an inductive predictive model ... higher robustness to the presence of noise in the data, also when a huge amount...
  • ePCA

  • Referenced in 4 articles [sw27830]
  • inefficient in non-Gaussian noise. Motivated by this application, we develop ePCA (exponential family ... fast method that can be used very generally for dimension reduction and denoising of large...
  • BioImageXD

  • Referenced in 2 articles [sw18624]
  • July 2012 issue of Nature Methods. BioImageXD is a multi-purpose post-processing tool ... mathematical and logical processing and noise reduction. Analysis tools cover both object-based and voxel ... versatile tools for colocalization analysis, numerous segmentation methods with elaborate numerical analyses, and an advanced...
  • LIMPIC

  • Referenced in 2 articles [sw35379]
  • required. In this paper, LIMPIC, a computational method for the detection of protein peaks from ... based on novel techniques for background noise reduction and baseline removal. Peak detection is performed...
  • POAS4SPM

  • Referenced in 1 article [sw27971]
  • implementation of a recently developed noise reduction algorithm for dMRI data, called multi-shell position ... msPOAS), as a toolbox for SPM. The method intrinsically adapts to the structures of different...
  • GenXHC

  • Referenced in 2 articles [sw35559]
  • variational learning method for cross-hybridization compensation, GenXHC, that reduces cross-hybridization noise by taking ... found to produce statistically significant reductions in cross-hybridization noise. The denoised data is found ... outperform robust multi-array analysis, another method for cross-hybridization compensation...
  • GSVA

  • Referenced in 3 articles [sw17293]
  • over single gene analysis include noise and dimension reduction, as well as greater biological interpretability ... Gene Set Variation Analysis (GSVA), a GSE method that estimates variation of pathway activity over...
  • libmadam

  • Referenced in 1 article [sw38278]
  • method is based on the destriping technique, but it also utilizes information about the noise ... frequency component of the instrument noise stream is modelled as a superposition ... present simulation results with 1/f noise and show a reduction in the residual noise with...
  • convexity

  • Referenced in 1 article [sw36571]
  • that can be only observed with stochastic noise at a finite set of design points ... Carlo simulation. We offer three variance reduction methods: change of measure, acceptance-rejection, and conditional...
  • GyroGauge

  • Referenced in 1 article [sw21744]
  • based on gyrocenter gauge kinetic theory. Numerical methods based on gyrocenter gauge kinetic theory ... technique and advantage of the reduction of the numerical noise in this full-f gyrocenter...
  • NL-SAR

  • Referenced in 2 articles [sw37673]
  • Resolution-Preserving (Pol)(In)SAR Denoising. Speckle noise is an inherent problem in coherent imaging ... multilooking (i.e., averaging) filter for speckle reduction, at the expense of a strong resolution loss ... resolution-preserving speckle reduction. We describe a general method, i.e., NL-SAR, that builds extended...
  • ICLUS

  • Referenced in 1 article [sw02611]
  • patterns. ICA is also a useful dimension reduction technique for multivariate data analysis. We apply ... found. ICLUS is robust to noises, outliers, and different scales in the data ... structural patterns. The experiments show that this method is effective and efficient, which also significantly...
  • OPTISEP

  • Referenced in 1 article [sw19211]
  • Sensor Set Expansion (SSE) methods. A toolbox OPTISEP is developed by the author for this ... First, the technique results in a dramatic reduction in the computational effort. Second, it allows ... that the technique is also robust against noise in the measurements...
  • ANSYS

  • Referenced in 665 articles [sw00044]
  • ANSYS offers a comprehensive software suite that spans...