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author | Christoph Helma <helma@in-silico.ch> | 2011-03-28 18:45:00 +0200 |
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committer | Christoph Helma <helma@in-silico.ch> | 2011-03-28 18:45:00 +0200 |
commit | 691b1f0b9cf377ae5559d330d746ff73b941e57f (patch) | |
tree | 14553bcd41f072209e4f1a5790146866ca21d004 | |
parent | a31facccdff1c6b47b872263f202fb706c10f540 (diff) | |
parent | 7a622f01d9b965adb6fe280c716db3621709083a (diff) |
Merge branch 'master' of github.com:opentox/algorithmv1.0.6
-rw-r--r-- | README.md | 52 |
1 files changed, 33 insertions, 19 deletions
@@ -9,24 +9,25 @@ OpenTox Algorithm REST operations --------------- - Get a list of all algorithms GET / - URIs of algorithms 200 - Get a representation of the GET /fminer/ - fminer representation 200,404 + Get a list of all algorithms GET / - URIs of algorithms 200 + Get a representation of the GET /fminer/ - fminer representation 200,404 fminer algorithms - Get a representation of the GET /fminer/bbrc - bbrc representation 200,404 + Get a representation of the GET /fminer/bbrc - bbrc representation 200,404 bbrc algorithm - Get a representation of the GET /fminer/last - last representation 200,404 + Get a representation of the GET /fminer/last - last representation 200,404 last algorithm - Get a representation of the GET /lazar - lazar representation 200,404 + Get a representation of the GET /lazar - lazar representation 200,404 lazar algorithm - Create bbrc features POST /fminer/bbrc dataset_uri, URI for feature dataset 200,400,404,500 - feature_uri, - min_frequency - Create last features POST /fminer/last dataset_uri, URI for feature dataset 200,400,404,500 - feature_uri, - min_frequency - Create lazar model POST /lazar dataset_uri, URI for lazar model 200,400,404,500 - prediction_feature, - feature_generation_uri + Create bbrc features POST /fminer/bbrc dataset_uri, URI for feature dataset 200,400,404,500 + feature_uri, + [min_frequency=5 per-mil], + [backbone=true] + Create last features POST /fminer/last dataset_uri, URI for feature dataset 200,400,404,500 + feature_uri, + [min_frequency=8 %], + Create lazar model POST /lazar dataset_uri, URI for lazar model 200,400,404,500 + prediction_feature, + feature_generation_uri Supported MIME formats ---------------------- @@ -45,19 +46,32 @@ Examples curl http://webservices.in-silico.ch/algorithm/lazar -### Create [BBRC](http://bbrc.maunz.de) features +* * * - curl -X POST -d dataset_uri={datset_uri} -d prediction_feature={feature_uri} -d min_frequency={min_frequency} http://webservices.in-silico.ch/algorithm/fminer/bbrc +The following creates datasets with backbone refinement class representatives or latent structure patterns, using supervised graph mining, see http://cs.maunz.de. These features can be used e.g. as structural alerts, as descriptors (fingerprints) for prediction models or for similarity calculations. + +### Create the full set of frequent and significant subtrees + + curl -X POST -d dataset_uri={datset_uri} -d prediction_feature={feature_uri} -d min_frequency={min_frequency} -d "backbone=false" http://webservices.in-silico.ch/algorithm/fminer/bbrc feature_uri specifies the dependent variable from the dataset. +backbone=false reduces BBRC mining to frequent and correlated subtree mining (much more descriptors are produced). + +### Create [BBRC](http://bbrc.maunz.de) features, recommended for large and very large datasets. -### Create [LAST-PM](http://last-pm.maunz.de) features + curl -X POST -d dataset_uri={datset_uri} -d prediction_feature={feature_uri} -d min_frequency={min_frequency} http://webservices.in-silico.ch/algorithm/fminer/bbrc + +feature_uri specifies the dependent variable from the dataset. +Please click [here](http://bbrc.maunz.de#usage) for more guidance on usage. + +### Create [LAST-PM](http://last-pm.maunz.de) descriptors, recommended for small to medium-sized datasets. curl -X POST -d dataset_uri={datset_uri} -d prediction_feature={feature_uri} -d min_frequency={min_frequency} http://webservices.in-silico.ch/algorithm/fminer/last -feature_uri specifies the dependent variable from the dataset. +feature_uri specifies the dependent variable from the dataset. +Please click [here](http://last-pm.maunz.de#usage) for guidance for more guidance on usage. -Creates a dataset with fminer features (backbone refinement class representatives from supervised graph mining, see http://www.maunz.de/libfminer-doc/). These features can be used e.g. as structural alerts, as descriptors (fingerprints) for prediction models or for similarity calculations. +* * * ### Create lazar model |