• JiTCODE

  • Referenced in 8 articles [sw24715]
  • language. The presented modules are particularly suited for large systems of differential equations such ... complex networks. Through the selected method of input, the presented modules also allow almost complete ... transversal Lyapunov exponents for ordinary and delay differential equations. We conceptually discuss the modules’ design...
  • JiTCSDE

  • Referenced in 7 articles [sw24716]
  • language. The presented modules are particularly suited for large systems of differential equations such ... complex networks. Through the selected method of input, the presented modules also allow almost complete ... transversal Lyapunov exponents for ordinary and delay differential equations. We conceptually discuss the modules’ design...
  • JiTCDDE

  • Referenced in 6 articles [sw24714]
  • language. The presented modules are particularly suited for large systems of differential equations such ... complex networks. Through the selected method of input, the presented modules also allow almost complete ... transversal Lyapunov exponents for ordinary and delay differential equations. We conceptually discuss the modules’ design...
  • LncmiRSRN

  • Referenced in 1 article [sw34139]
  • indicate that the identified differential and conserved LncmiRSRN network modules work as functional units...
  • MATHT

  • Referenced in 1 article [sw27453]
  • provides modules for data preprocessing, differential expression analysis, dataset integration, functional analysis, and network analysis ... sequence and structure analysis module is specially designed for RNA-seq data. MATHT...
  • PyDEns

  • Referenced in 3 articles [sw32455]
  • proposed to use neural networks to approximately solve partial differential equations (PDEs). Yet, there ... fill the gap, we introduce a PyDEns-module open-sourced on GitHub. Coupled with capabilities ... reproducible deep learning, PyDEns-module allows to 1) solve partial differential equations from a large ... easily search for the best neural-network architecture among the zoo, that includes ResNet...
  • SeqNet

  • Referenced in 1 article [sw40323]
  • obtain differential networks. Network objects are built from individual, overlapping modules that represent pathways...
  • DiffCoEx

  • Referenced in 2 articles [sw26924]
  • novo modules by grouping genes based on shared, but subtle, differential correlation patterns. Results ... commonly used Weighted Gene Coexpression Network Analysis (WGCNA) framework for coexpression analysis. We demonstrate ... usefulness by identifying biologically relevant, differentially coexpressed modules in a rat cancer dataset. Conclusions: DiffCoEx...
  • Kornia

  • Referenced in 4 articles [sw31197]
  • take advantage of the reverse-mode auto-differentiation to define and compute the gradient ... modules containing operators that can be inserted inside neural networks to train models to perform...
  • CodedRecon

  • Referenced in 1 article [sw39048]
  • differentiable framework consisting of a coded exposure sensor simulation module and a deep-neural network...
  • MetaDCN

  • Referenced in 0 articles [sw25993]
  • detecting differentially co-expressed networks (MetaDCN). Differentially co-expressed seed modules are first detected...
  • expansion-network

  • Referenced in 1 article [sw34481]
  • regulatory networks using explicit regulatory modules. Gene regulatory networks are a popular tool for modelling ... important biological phenomena, such as cell differentiation or oncogenesis. Efficient identification of the causal connections ... distinct regulatory regions. Recent gene regulatory network models use binding measurements; but usually only ... define gene-to-gene interactions, ignoring regulatory module structure. Moreover, current huge amount of transcriptomic...
  • EasyMesh

  • Referenced in 1 article [sw34410]
  • reconstruction, ensuring that the reconstruction network focuses on generating vivid 3D meshes with accurate ... viewpoint information. We also add a differentiable module to create silhouettes from various viewpoints...
  • SOSlib

  • Referenced in 4 articles [sw29331]
  • system of ordinary differential equations (ODEs) derived from a chemical reaction network encoded ... interfaces to non SBML data sources. Optional modules based on Graphviz and XMGrace allow...
  • MENUS-PGG

  • Referenced in 3 articles [sw02138]
  • implementation of scalable parallel partial differential equation (PDE) solvers based on domain decomposition methods. Whereas ... remote memory modules via message passing through a high speed interconnection network. The major contribution...
  • CACTI

  • Referenced in 2 articles [sw23996]
  • characteristics of the interconnection networks that connect various sub- modules of a cache. CACTI ... different power, delay, and area characteristics and differential low-swing buses. This report details...
  • NCLab

  • Referenced in 1 article [sw12880]
  • with NCLab. This survey paper describes NCLab (Network Computing Laboratory), a novel cloud computing service ... these include general second-order linear partial differential equations, linear elasticity problems, and electrostatics problems ... visualization in the web browser. The module supports curvilinear elements and higher-order finite element...
  • COVAIN

  • Referenced in 1 article [sw10556]
  • provide a new algorithm to reconstruct a differential Jacobian matrix of two different metabolic conditions ... assumptions of stochastic fluctuations in the metabolic network as described by us recently. By integrating ... investigation of perturbation sites in the biochemical network based on metabolomics data. COVAIN was primarily ... omics data analysis. A C language programming module was integrated to handle computational intensive work...
  • ANSYS

  • Referenced in 681 articles [sw00044]
  • ANSYS offers a comprehensive software suite that spans...
  • ACL2

  • Referenced in 282 articles [sw00060]
  • ACL2 is both a programming language in which...