本文整理汇总了Python中neurosynth.base.dataset.Dataset.feature_table方法的典型用法代码示例。如果您正苦于以下问题：Python Dataset.feature_table方法的具体用法？Python Dataset.feature_table怎么用？Python Dataset.feature_table使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类neurosynth.base.dataset.Dataset的用法示例。
在下文中一共展示了Dataset.feature_table方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: print
# 需要导入模块: from neurosynth.base.dataset import Dataset [as 别名]
# 或者: from neurosynth.base.dataset.Dataset import feature_table [as 别名]
resource_dir = path.join(path.pardir, 'resources')
# make sure we have the data
dataset_dir = path.join(path.expanduser('~'), 'Documents', 'neurosynth-data')
database_path = path.join(dataset_dir, 'database_bregma.txt')
neurosynth_data_url = 'https://github.com/wmpauli/neurosynth-data'
if not path.exists(database_path):
print("Please download dataset from %s and store it in %s" % (neurosynth_data_url, dataset_dir))
# load dataset, both image table and feature table
r = 1.0 # 1mm smoothing kernel
transform = {'BREGMA': transformations.bregma_to_whs()}
target = 'WHS'
masker_filename = path.join(resource_dir, 'WHS_SD_rat_brainmask_sm_v2.nii.gz')
dataset = Dataset(path.join(dataset_dir, 'database_bregma.txt'), masker=masker_filename, r=r, transform=transform, target=target)
dataset.feature_table = FeatureTable(dataset)
dataset.add_features(path.join(dataset_dir, "features_bregma.txt")) # add features
fn = dataset.get_feature_names()
# get the ids of studies where this feature occurs
ids = dataset.get_ids_by_features(('%s*' % feature), threshold=0.1)
ma = meta.MetaAnalysis(dataset, ids)
results_path = path.join('results', 'meta', feature)
if not path.exists(results_path):
makedirs(results_path)
print("saving results to: %s" % results_path)
ma.save_results(results_path)
# note, figure 2 of manuscript was used by plotting the z-score statistical maps for forward inference (pAgF_z.nii.gz) and reverse inference (pFgA_z.nii.gz)