Package index
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nat.nblast-package
nat.nblast
- Neuron similarity, search and clustering tools
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nblast()
- Calculate similarity score for neuron morphologies
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nblast_allbyall()
- Wrapper function to compute all by all NBLAST scores for a set of neurons
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nhclust()
- Cluster a set of neurons
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plot3d(<hclust>)
- Methods to identify and plot groups of neurons cut from an
hclust
object
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show_similarity()
- Display two neurons with segments in the query coloured by similarity
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subset(<hclust>)
- Return the labels of items in 1 or more groups cut from hclust object
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create_scoringmatrix()
- Create a scoring matrix given matching and non-matching sets of neurons
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calc_score_matrix()
- Calculate scoring matrix from probability matrices for matching and non-matching sets of neurons
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calc_prob_mat()
- Calculate probability matrix from distances and dot products between neuron segments
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calc_dists_dotprods()
- Calculate distances and dot products between two sets of neurons
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smat.fcwb
smat_alpha.fcwb
- Scoring matrices for neuron similarities in FCWB template brain
Mid level functions for result matrices
Functions that you might use to manipulate matrices containing all by all NBLAST results for use with other clustering strategies (besides nhclust)
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sub_score_mat()
- Return scores (or distances) for given query and target neurons
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sub_dist_mat()
- Convert (a subset of) a raw score matrix to a distance matrix
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sparse_score_mat()
- Convert a subset of a square score matrix to a sparse representation
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NeuriteBlast()
- Produce similarity score for neuron morphologies
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neuron_pairs()
- Utility function to generate all or random pairs of neurons
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WeightedNNBasedLinesetMatching()
- Compute point & tangent vector similarity score between two linesets
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fctraces20
- 20 traced Drosophila neurons from Chiang et al 2011
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diagonal()
- Extract diagonal terms from a variety of matrix types
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`[`(<spam>,<character>,<character>,<logical>)
`[`(<spam>,<character>,<character>,<missing>)
`[`(<spam>,<character>,<missing>,<logical>)
`[`(<spam>,<character>,<missing>,<missing>)
`[`(<spam>,<missing>,<character>,<logical>)
`[`(<spam>,<missing>,<character>,<missing>)
- Extract parts of a sparse
spam
matrix
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fill_in_sparse_score_mat()
- Add one or more submatrices to a sparse score matrix
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fill_pairs_sparse_score_mat()
- Add forwards, reverse and self scores for a pair of neurons to a sparse score matrix