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clarify threshold
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DESCRIPTION

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Package: immApex
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Title: Tools for Adaptive Immune Receptor Sequence-Based Machine and Deep Learning
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Version: 1.4.2
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Version: 1.4.3
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Authors@R: c(
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person(given = "Nick", family = "Borcherding", role = c("aut", "cre"), email = "ncborch@gmail.com"))
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Description: A set of tools to for machine and deep learning in R from amino acid and nucleotide sequences focusing on adaptive immune receptors. The package includes pre-processing of sequences, unifying gene nomenclature usage, encoding sequences, and combining models. This package will serve as the basis of future immune receptor sequence functions/packages/models compatible with the scRepertoire ecosystem.

NEWS.md

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# immApex VERSION 1.4.2
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# immApex VERSION 1.4.3
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## NEW FEATURES
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The `buildNetwork()` function has been significantly enhanced to include:

R/buildNetwork.R

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#' `cdr3`, `v_call`, `j_call`).
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#' @param threshold >= 1 for absolute distance **or** 0 < x <= 1 for relative.
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#' When using normalized distances (`normalize != "none"`), this typically
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#' should be a value between 0 and 1 (e.g., 0.1 for 10 percent dissimilarity).
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#' should be a value between 0 and 1 (e.g., 0.9 for 10 percent dissimilarity).
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#' @param filter.v Logical; require identical V when `TRUE`.
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#' @param filter.j Logical; require identical J when `TRUE`.
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#' @param ids Optional character labels; recycled from row-names if missing.

man/buildNetwork.Rd

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