1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401
|
# ----------------------------------------------------------------------------
# Copyright (c) 2013--, scikit-bio development team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file LICENSE.txt, distributed with this software.
# ----------------------------------------------------------------------------
from unittest import TestCase, main
from io import StringIO
import os
import numpy as np
import pandas as pd
from skbio import TreeNode
from skbio.util import get_data_path
from skbio.tree import DuplicateNodeError, MissingNodeError
from skbio.diversity.alpha import faith_pd, phydiv
class FaithPDTests(TestCase):
def setUp(self):
self.counts = np.array([0, 1, 1, 4, 2, 5, 2, 4, 1, 2])
self.b1 = np.array([[1, 3, 0, 1, 0],
[0, 2, 0, 4, 4],
[0, 0, 6, 2, 1],
[0, 0, 1, 1, 1],
[2, 0, 3, 0, 0]])
self.sids1 = list('ABCDE')
self.oids1 = ['OTU%d' % i for i in range(1, 6)]
self.t1 = TreeNode.read(StringIO(
'(((((OTU1:0.5,OTU2:0.5):0.5,OTU3:1.0):1.0):'
'0.0,(OTU4:0.75,OTU5:0.75):1.25):0.0)root;'))
self.t1_w_extra_tips = TreeNode.read(
StringIO('(((((OTU1:0.5,OTU2:0.5):0.5,OTU3:1.0):1.0):0.0,(OTU4:'
'0.75,(OTU5:0.25,(OTU6:0.5,OTU7:0.5):0.5):0.5):1.25):0.0'
')root;'))
def test_faith_pd(self):
# expected results derived from QIIME 1.9.1, which
# is a completely different implementation skbio's initial
# phylogenetic diversity implementation
actual = faith_pd(self.b1[0], self.oids1, self.t1)
expected = 4.5
self.assertAlmostEqual(actual, expected)
actual = faith_pd(self.b1[1], self.oids1, self.t1)
expected = 4.75
self.assertAlmostEqual(actual, expected)
actual = faith_pd(self.b1[2], self.oids1, self.t1)
expected = 4.75
self.assertAlmostEqual(actual, expected)
actual = faith_pd(self.b1[3], self.oids1, self.t1)
expected = 4.75
self.assertAlmostEqual(actual, expected)
actual = faith_pd(self.b1[4], self.oids1, self.t1)
expected = 3.0
self.assertAlmostEqual(actual, expected)
def test_faith_pd_extra_tips(self):
# results are the same despite presences of unobserved tips in tree
actual = faith_pd(self.b1[0], self.oids1, self.t1_w_extra_tips)
expected = faith_pd(self.b1[0], self.oids1, self.t1)
self.assertAlmostEqual(actual, expected)
actual = faith_pd(self.b1[1], self.oids1, self.t1_w_extra_tips)
expected = faith_pd(self.b1[1], self.oids1, self.t1)
self.assertAlmostEqual(actual, expected)
actual = faith_pd(self.b1[2], self.oids1, self.t1_w_extra_tips)
expected = faith_pd(self.b1[2], self.oids1, self.t1)
self.assertAlmostEqual(actual, expected)
actual = faith_pd(self.b1[3], self.oids1, self.t1_w_extra_tips)
expected = faith_pd(self.b1[3], self.oids1, self.t1)
self.assertAlmostEqual(actual, expected)
actual = faith_pd(self.b1[4], self.oids1, self.t1_w_extra_tips)
expected = 3.0
self.assertAlmostEqual(actual, expected)
def test_faith_pd_none_observed(self):
actual = faith_pd(np.array([], dtype=int),
np.array([], dtype=int),
self.t1)
expected = 0.0
self.assertAlmostEqual(actual, expected)
actual = faith_pd([0, 0, 0, 0, 0], self.oids1, self.t1)
expected = 0.0
self.assertAlmostEqual(actual, expected)
def test_faith_pd_all_observed(self):
actual = faith_pd([1, 1, 1, 1, 1], self.oids1, self.t1)
expected = sum(n.length for n in self.t1.traverse()
if n.length is not None)
self.assertAlmostEqual(actual, expected)
actual = faith_pd([1, 2, 3, 4, 5], self.oids1, self.t1)
expected = sum(n.length for n in self.t1.traverse()
if n.length is not None)
self.assertAlmostEqual(actual, expected)
def test_faith_pd_one_observed(self):
actual = faith_pd([1, 0, 0, 0, 0], self.oids1, self.t1)
expected = 2.0
self.assertAlmostEqual(actual, expected)
def test_faith_pd_minimal(self):
# two tips
tree = TreeNode.read(StringIO('(OTU1:0.25, OTU2:0.25)root;'))
actual = faith_pd([1, 0], ['OTU1', 'OTU2'], tree)
expected = 0.25
self.assertEqual(actual, expected)
def test_faith_pd_qiime_tiny_test(self):
# the following table and tree are derived from the QIIME 1.9.1
# "tiny-test" data
tt_table_fp = get_data_path(
os.path.join('qiime-191-tt', 'otu-table.tsv'), 'data')
tt_tree_fp = get_data_path(
os.path.join('qiime-191-tt', 'tree.nwk'), 'data')
self.q_table = pd.read_csv(tt_table_fp, sep='\t', skiprows=1,
index_col=0)
self.q_tree = TreeNode.read(tt_tree_fp)
expected_fp = get_data_path(
os.path.join('qiime-191-tt', 'faith-pd.txt'), 'data')
expected = pd.read_csv(expected_fp, sep='\t', index_col=0)
for sid in self.q_table.columns:
actual = faith_pd(self.q_table[sid],
taxa=self.q_table.index,
tree=self.q_tree)
self.assertAlmostEqual(actual, expected['PD_whole_tree'][sid])
def test_faith_pd_root_not_observed(self):
# expected values computed by hand
tree = TreeNode.read(
StringIO('((OTU1:0.1, OTU2:0.2):0.3, (OTU3:0.5, OTU4:0.7):1.1)'
'root;'))
taxa = ['OTU%d' % i for i in range(1, 5)]
# root node not observed, but branch between (OTU1, OTU2) and root
# is considered observed
actual = faith_pd([1, 1, 0, 0], taxa, tree)
expected = 0.6
self.assertAlmostEqual(actual, expected)
# root node not observed, but branch between (OTU3, OTU4) and root
# is considered observed
actual = faith_pd([0, 0, 1, 1], taxa, tree)
expected = 2.3
self.assertAlmostEqual(actual, expected)
def test_faith_pd_invalid_input(self):
# tree has duplicated tip ids
t = TreeNode.read(
StringIO('(((((OTU1:0.5,OTU2:0.5):0.5,OTU3:1.0):1.0):0.0,(OTU4:'
'0.75,OTU2:0.75):1.25):0.0)root;'))
counts = [1, 2, 3]
taxa = ['OTU1', 'OTU2', 'OTU3']
self.assertRaises(DuplicateNodeError, faith_pd, counts, taxa,
t)
# unrooted tree as input
t = TreeNode.read(StringIO('((OTU1:0.1, OTU2:0.2):0.3, OTU3:0.5,'
'OTU4:0.7);'))
counts = [1, 2, 3]
taxa = ['OTU1', 'OTU2', 'OTU3']
self.assertRaises(ValueError, faith_pd, counts, taxa, t)
# taxa has duplicated ids
t = TreeNode.read(
StringIO('(((((OTU1:0.5,OTU2:0.5):0.5,OTU3:1.0):1.0):0.0,(OTU4:'
'0.75,OTU5:0.75):1.25):0.0)root;'))
counts = [1, 2, 3]
taxa = ['OTU1', 'OTU2', 'OTU2']
self.assertRaises(ValueError, faith_pd, counts, taxa, t)
# len of vectors not equal
t = TreeNode.read(
StringIO('(((((OTU1:0.5,OTU2:0.5):0.5,OTU3:1.0):1.0):0.0,(OTU4:'
'0.75,OTU5:0.75):1.25):0.0)root;'))
counts = [1, 2]
taxa = ['OTU1', 'OTU2', 'OTU3']
self.assertRaises(ValueError, faith_pd, counts, taxa, t)
counts = [1, 2, 3]
taxa = ['OTU1', 'OTU2']
self.assertRaises(ValueError, faith_pd, counts, taxa, t)
# negative counts
t = TreeNode.read(
StringIO('(((((OTU1:0.5,OTU2:0.5):0.5,OTU3:1.0):1.0):0.0,(OTU4:'
'0.75,OTU5:0.75):1.25):0.0)root;'))
counts = [1, 2, -3]
taxa = ['OTU1', 'OTU2', 'OTU3']
self.assertRaises(ValueError, faith_pd, counts, taxa, t)
# tree with no branch lengths
t = TreeNode.read(
StringIO('((((OTU1,OTU2),OTU3)),(OTU4,OTU5));'))
counts = [1, 2, 3]
taxa = ['OTU1', 'OTU2', 'OTU3']
self.assertRaises(ValueError, faith_pd, counts, taxa, t)
# tree missing some branch lengths
t = TreeNode.read(
StringIO('(((((OTU1,OTU2:0.5):0.5,OTU3:1.0):1.0):0.0,(OTU4:'
'0.75,OTU5:0.75):1.25):0.0)root;'))
counts = [1, 2, 3]
taxa = ['OTU1', 'OTU2', 'OTU3']
self.assertRaises(ValueError, faith_pd, counts, taxa, t)
# taxa not present in tree
t = TreeNode.read(
StringIO('(((((OTU1:0.5,OTU2:0.5):0.5,OTU3:1.0):1.0):0.0,(OTU4:'
'0.75,OTU5:0.75):1.25):0.0)root;'))
counts = [1, 2, 3]
taxa = ['OTU1', 'OTU2', 'OTU42']
self.assertRaises(MissingNodeError, faith_pd, counts, taxa, t)
class PhyDivTests(TestCase):
def setUp(self):
self.tree = TreeNode.read(StringIO(
'(((a:0.4,b:0.5):0.7,((c:0.1,d:0.2):0.6,(e:0.2,f:0.3):0.4):0.2)'
':0.1,g:1.2):0.2;'))
# each dash (-) represents branch length = 0.05
#
# /--------a
# /--------------|
# | \----------b
# |
# /--| /--c
# | | /------------|
# | | | \----d
# | \----|
# ----| | /----e
# | \--------|
# | \------f
# |
# \------------------------g
self.taxa = list('abcdef')
self.data = np.array([
[1, 2, 0, 0, 0, 0], # clade (a, b)
[0, 0, 3, 4, 0, 0], # clade (c, d)
[0, 0, 0, 0, 5, 6], # clade (e, f)
[0, 0, 3, 4, 5, 6], # non-basal, monophyletic group (c, d, e, f)
[1, 2, 3, 4, 0, 0]]) # basal, non-monophyletic group (a, b, c, d)
def test_phydiv_rooted_unweighted(self):
# equivalent to faith_pd
for datum in self.data:
obs = phydiv(datum, self.taxa, self.tree)
exp = faith_pd(datum, self.taxa, self.tree)
self.assertAlmostEqual(obs, exp)
def test_phydiv_unrooted_unweighted(self):
# equivalent to faith_pd without path to root
exps = [0.9, 0.3, 0.5, 1.8, 2.7]
for datum, exp in zip(self.data, exps):
obs = phydiv(datum, self.taxa, self.tree, rooted=False)
self.assertAlmostEqual(obs, exp)
# edge case: one taxon
obs = phydiv([1], ['a'], self.tree, rooted=False)
self.assertEqual(obs, 0)
# edge case: zero taxon
obs = phydiv([0], ['a'], self.tree, rooted=False)
self.assertEqual(obs, 0)
# edge case: no taxon
obs = phydiv([], [], self.tree, rooted=False)
self.assertEqual(obs, 0)
def test_phydiv_rooted_weighted(self):
# group (a, b)
# = (0.4 * 1 + 0.5 * 2 + (0.7 + 0.1 + 0.2) * (1 + 2)) / (1 + 2)
obs = phydiv(self.data[0], self.taxa, self.tree, weight=True)
exp = 1.46666667
self.assertAlmostEqual(obs, exp)
# group (c, d)
# = (0.1 * 3 + 0.2 * 4 + (0.6 + 0.2 + 0.1 + 0.2) * (3 + 4)) / (3 + 4)
obs = phydiv(self.data[1], self.taxa, self.tree, weight=True)
exp = 1.25714286
self.assertAlmostEqual(obs, exp)
# group (c, d, e, f)
# = (0.1 * 3 + 0.2 * 4 + 0.2 * 5 + 0.3 * 6 + 0.6 * (3 + 4) + 0.4 *
# (5 + 6) + (0.2 + 0.1 + 0.2) * (3 + 4 + 5 + 6)) / (3 + 4 + 5 + 6)
obs = phydiv(self.data[3], self.taxa, self.tree, weight=True)
exp = 1.19444444
self.assertAlmostEqual(obs, exp)
# group (a, b, c, d)
# = (0.4 * 1 + 0.5 * 2 + 0.1 * 3 + 0.2 * 4 + 0.7 * (1 + 2) + (0.6 +
# 0.2) * (3 + 4) + (0.1 + 0.2) * (1 + 2 + 3 + 4)) / (1 + 2 + 3 + 4)
obs = phydiv(self.data[4], self.taxa, self.tree, weight=True)
exp = 1.32
self.assertAlmostEqual(obs, exp)
def test_phydiv_unrooted_weighted(self):
# a.k.a., balance-weighted PD
# group (a, b)
# = (0.4 + 0.5) * 2 * min(1, 2) / (1 + 2)
obs = phydiv(self.data[0], self.taxa, self.tree,
rooted=False, weight=True)
exp = 0.6
self.assertAlmostEqual(obs, exp)
# group (c, d)
# = (0.1 + 0.2) * 2 * min(3, 4) / (3 + 4)
obs = phydiv(self.data[1], self.taxa, self.tree,
rooted=False, weight=True)
exp = 0.25714286
self.assertAlmostEqual(obs, exp)
# group (c, d, e, f)
# = 2 * (0.1 * min(3, 4 + 5 + 6) + 0.2 * min(4, 3 + 5 + 6) + 0.2 *
# min(5, 3 + 4 + 6) + 0.3 * min(6, 3 + 4 + 5) + (0.6 + 0.4) *
# min(3 + 4, 5 + 6)) / (3 + 4 + 5 + 6)
obs = phydiv(self.data[3], self.taxa, self.tree,
rooted=False, weight=True)
exp = 1.21111111
self.assertAlmostEqual(obs, exp)
# group (a, b, c, d)
# = 2 * (0.4 * min(1, 2 + 3 + 4) + 0.5 * min(2, 1 + 3 + 4) + (0.7 +
# 0.6 + 0.2) * min(1 + 2, 3 + 4) + 0.1 * min(3, 1 + 2 + 4) + 0.2 *
# min(4, 1 + 2 + 3)) / (1 + 2 + 3 + 4)
obs = phydiv(self.data[4], self.taxa, self.tree,
rooted=False, weight=True)
exp = 1.4
self.assertAlmostEqual(obs, exp)
# edge cases
self.assertEqual(phydiv([1], ['a'], self.tree, False, True), 0)
self.assertEqual(phydiv([0], ['a'], self.tree, False, True), 0)
self.assertEqual(phydiv([], [], self.tree, False, True), 0)
def test_phydiv_weight_param(self):
# group (a, b), unrooted
# = (0.4 + 0.5) * (2 * min(1, 2) / (1 + 2)) ** theta
obs = phydiv(self.data[0], self.taxa, self.tree, False, 0.5)
exp = 0.73484692
self.assertAlmostEqual(obs, exp)
obs = phydiv(self.data[0], self.taxa, self.tree, False, 0.25)
exp = 0.81324180
self.assertAlmostEqual(obs, exp)
# fall back to unweighted
obs = phydiv(self.data[0], self.taxa, self.tree, False, 0)
exp = 0.9
# fall back to fully-weighted
self.assertAlmostEqual(obs, exp)
obs = phydiv(self.data[0], self.taxa, self.tree, False, 1)
exp = 0.6
self.assertAlmostEqual(obs, exp)
# rooted
# = (0.4 * 1 ** theta + 0.5 * 2 ** theta + (0.7 + 0.1 + 0.2) *
# (1 + 2) ** theta) / (1 + 2) ** theta
obs = phydiv(self.data[0], self.taxa, self.tree, True, 0.5)
exp = 1.63918840
self.assertAlmostEqual(obs, exp)
obs = phydiv(self.data[0], self.taxa, self.tree, True, 0.25)
exp = 1.75573528
self.assertAlmostEqual(obs, exp)
# edge cases
self.assertEqual(phydiv([1], ['a'], self.tree, False, 0.5), 0)
self.assertEqual(phydiv([0], ['a'], self.tree, False, 0.5), 0)
self.assertEqual(phydiv([], [], self.tree, False, 0.5), 0)
def test_phydiv_tree_unrooted(self):
# convert tree to unrooted
outgroup = self.tree.find('g')
ingroup = outgroup.siblings()[0]
unrooted = ingroup.copy()
unrooted.extend([outgroup.copy()])
unrooted.length += self.tree.length or 0.0
# auto-enter unrooted mode
obs = phydiv(self.data[0], self.taxa, unrooted)
exp = phydiv(self.data[0], self.taxa, self.tree, rooted=False)
self.assertEqual(obs, exp)
# force rooted mode
obs = phydiv(self.data[0], self.taxa, unrooted, rooted=True)
exp = phydiv(self.data[0], self.taxa, self.tree)
self.assertEqual(obs, exp)
def test_phydiv_invalid_weight(self):
params = (self.data[0], self.taxa, self.tree)
self.assertRaises(ValueError, phydiv, *params, weight='hello')
self.assertRaises(ValueError, phydiv, *params, weight=-0.5)
self.assertRaises(ValueError, phydiv, *params, weight=2.0)
if __name__ == "__main__":
main()
|