Package: bHIVE 0.99.4

bHIVE: B-cell Hybrid Immune Variant Engine
The bHIVE package implements an Artificial Immune Network (AI-Net) algorithm for clustering and classification tasks. Inspired by biological immune systems, it employs clonal selection, mutation, and network suppression to analyze and model datasets. This package provides flexible functionality, including affinity metrics, mutation strategies, and hyperparameter tuning.
Authors:
bHIVE_0.99.4.tar.gz
bHIVE_0.99.4.zip(r-4.7)bHIVE_0.99.4.zip(r-4.6)bHIVE_0.99.4.zip(r-4.5)
bHIVE_0.99.4.tgz(r-4.6-x86_64)bHIVE_0.99.4.tgz(r-4.6-arm64)bHIVE_0.99.4.tgz(r-4.5-x86_64)bHIVE_0.99.4.tgz(r-4.5-arm64)
bHIVE_0.99.4.tar.gz(r-4.7-arm64)bHIVE_0.99.4.tar.gz(r-4.7-x86_64)bHIVE_0.99.4.tar.gz(r-4.6-arm64)bHIVE_0.99.4.tar.gz(r-4.6-x86_64)
bHIVE_0.99.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
bHIVE/json (API)
NEWS
| # Install 'bHIVE' in R: |
| install.packages('bHIVE', repos = c('https://biocstaging.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/borchlab/bhive/issues
Pkgdown/docs site:https://www.borch.dev
softwareclusteringclassificationnetworkopenblascpp
Last updated from:183b0ab492. Checks:1 WARNING, 13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | WARNING | 209 | ||
| linux-devel-arm64 | OK | 253 | ||
| linux-devel-x86_64 | OK | 268 | ||
| source / vignettes | OK | 314 | ||
| linux-release-arm64 | OK | 267 | ||
| linux-release-x86_64 | OK | 266 | ||
| macos-release-arm64 | OK | 227 | ||
| macos-release-x86_64 | OK | 567 | ||
| macos-oldrel-arm64 | OK | 241 | ||
| macos-oldrel-x86_64 | OK | 364 | ||
| windows-devel | OK | 242 | ||
| windows-release | OK | 233 | ||
| windows-oldrel | OK | 218 | ||
| wasm-release | OK | 188 |
Exports:ActivationGateAINetbHIVEbHIVEmodelClassSwitcherConvergentSelectorGerminalCenterhoneycombHIVEhoneycombHIVEmodelIdiotypicNetworkImmuneAlgorithmImmuneRepertoireMemoryPoolMicroenvironmentrefineBSHMEngineswarmbHIVEVDJLibraryvisualizeHIVE
Dependencies:askpassBHBiocParallelcliclusterclusterCritcodetoolscpp11farverformatRfutile.loggerfutile.optionsggplot2gluegridExtragtablehereisobandjsonlitelabelinglambda.rlatticelifecycleMatrixopensslpngR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppTOMLreticulaterlangrprojrootRSpectraRtsneS7scalessnowsysumapvctrsviridisviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| ActivationGate | ActivationGate |
| AINet | AINet |
| bHIVE: B-cell Hybrid Immune Variant Engine | bHIVE |
| B-cell-based Hybrid Immune Virtual Evolution (bHIVE) for caret | bHIVEmodel |
| ClassSwitcher | ClassSwitcher |
| ConvergentSelector | ConvergentSelector |
| GerminalCenter | GerminalCenter |
| honeycombHIVE: Multilayer AIS with optional gradient-based fine-tuning | honeycombHIVE |
| Mulilayered honeycombHIVE for caret | honeycombHIVEmodel |
| IdiotypicNetwork | IdiotypicNetwork |
| ImmuneAlgorithm | ImmuneAlgorithm |
| ImmuneRepertoire | ImmuneRepertoire |
| MemoryPool | MemoryPool |
| Microenvironment | Microenvironment |
| refineB: Gradient-based fine-tuning for bHIVE antibodies with multiple loss functions and optimizers | refineB |
| SHMEngine | SHMEngine |
| Tune Hyperparameters for bHIVE (Swarm/Grid Search) | swarmbHIVE |
| VDJLibrary | VDJLibrary |
| Visualize bHIVE/honeycombHIVE Results | visualizeHIVE |
