• boost

  • Referenced in 36 articles [sw35655]
  • package boost: BagBoosting for tumor classification with gene expression data. Motivation: Microarray experiments are expected...
  • rL-GenSVM

  • Referenced in 2 articles [sw34760]
  • Feature selection and tumor classification for microarray data using relaxed Lasso and generalized multi-class ... gene expression data provides a reference for tumor diagnosis at the molecular level ... present a new method for tumor classification -- relaxed Lasso (least absolute shrinkage and selection operator ... high-dimensional and small-sample tumor data classification. The source code and all datasets...
  • SGL-SVM

  • Referenced in 1 article [sw34146]
  • novel method for tumor classification via support vector machine with sparse group lasso. At present ... expression data, the significant role of tumor classification in clinical medicine has become more apparent ... paper focuses on the study of tumor classification based on the sparsity characteristics of genes ... propose a new method of tumor classification -- sparse group lasso (least absolute shrinkage and selection...
  • Arrow plot

  • Referenced in 1 article [sw30012]
  • instance, in experiments which involve molecular classification of tumors it is important to identify significant...
  • depthTools

  • Referenced in 2 articles [sw19773]
  • various groups of samples (e.g. types of tumors), a rank test to decide whether ... single distribution and two methods of supervised classification techniques, the DS and TAD methods...
  • PLASQ

  • Referenced in 6 articles [sw18746]
  • array. As a result of this classification, we are able to fit the model ... variety of lung cancer cell lines and tumors, and a number of events are validated...
  • ICGE

  • Referenced in 1 article [sw23444]
  • classes. There are two key aspects to classification: the estimation of the number of clusters ... whether a new unit (gene, tumor sample...) belongs to one of these previously identified clusters...
  • ccSVM

  • Referenced in 1 article [sw35176]
  • experimental conditions in Support Vector Machine classification. Results: In this article, we present a Support ... experiments, our confounder correcting SVM (ccSVM) improves tumor diagnosis based on samples from different labs...
  • maskmeans

  • Referenced in 1 article [sw35561]
  • among observations. A large number of multiview classification algorithms have been proposed in the fields ... further subdivide the five currently accepted intrinsic tumor subtypes into distinct subgroups of patients...
  • LAPACK

  • Referenced in 1642 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...
  • Maple

  • Referenced in 5124 articles [sw00545]
  • The result of over 30 years of cutting...
  • MATCONT

  • Referenced in 376 articles [sw00551]
  • MATCONT: Matlab software for bifurcation study of dynamical...
  • Mathematica

  • Referenced in 5957 articles [sw00554]
  • Almost any workflow involves computing results, and that...
  • Matlab

  • Referenced in 12309 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • R

  • Referenced in 8601 articles [sw00771]
  • R is a language and environment for statistical...
  • TISEAN

  • Referenced in 158 articles [sw00967]
  • Practical implementation of nonlinear time series methods: The...
  • PRISM

  • Referenced in 416 articles [sw01186]
  • PRISM: Probabilistic symbolic model checker. In this paper...
  • L-BFGS-B

  • Referenced in 172 articles [sw01234]
  • Algorithm 778: L-BFGS-B Fortran subroutines for...
  • SNOPT

  • Referenced in 518 articles [sw02300]
  • SNOPT: An SQP algorithm for large-scale constrained...