-
Notifications
You must be signed in to change notification settings - Fork 29
/
before_after_overlapping_comparisons.py
executable file
·378 lines (362 loc) · 17.2 KB
/
before_after_overlapping_comparisons.py
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
#! /usr/bin/env python3
"""Calculates the length wise error comparison for two models with/without overlapping.
Also generates an aggregate plot.
Requires folders filled with {species}/length_wise_eval.log files from
helixer_scratch/cluster_eval_predictions/evaluations/length_wise/length-wise-eval-from-cluster-jobs.sh"""
import os
import numpy as np
import argparse
import matplotlib.pyplot as plt
# just hardcoded names in here for ease of execution
# names are also found in the final eval google docs spreadsheets
names = {
'plants': {
'Acomosus': 'Ananas_comosus',
'Ahypochondriacus': 'Amaranthus_hypochondriacus',
'Alyrata': 'Arabidopsis_lyrata',
'Aofficinalis': 'Asparagus_officinalis',
'Athaliana': 'Arabidopsis_thaliana',
'Atrichopoda': 'Amborella_trichopoda',
'Bdistachyon': 'Brachypodium_distachyon',
'Boleraceacapitata': 'Brassica_oleracea',
'Carietinum': 'Cicer_arietinum',
'Cclementina': 'Citrus_clementina',
'Cgrandiflora': 'Capsella_grandiflora',
'Cpapaya': 'Carica_papaya',
'Cquinoa': 'Chenopodium_quinoa',
'Creinhardtii': 'Chlamydomonas_reinhardtii',
'Crubella': 'Capsella_rubella',
'Csativus': 'Cucumis_sativus',
'Csinensis': 'Citrus_sinensis',
'CsubellipsoideaC169': 'Coccomyxa_subellipsoidea_C-169',
'Czofingiensis': 'Chromochloris_zofingiensis',
'Dcarota': 'Daucus_carota',
'Dsalina': 'Dunaliella_salina',
'Egrandis': 'Eucalyptus_grandis',
'Esalsugineum': 'Eutrema_salsugineum',
'Fvesca': 'Fragaria_vesca',
'Gmax': 'Glycine_max',
'Graimondii': 'Gossypium_raimondii',
'Hannuus': 'Helianthus_annuus',
'Hvulgare': 'Hordeum_vulgare',
'Kfedtschenkoi': 'Kalanchoe_fedtschenkoi',
'Lsativa': 'Lactuca_sativa',
'Lusitatissimum': 'Linum_usitatissimum',
'Macuminata': 'Musa_acuminata',
'Mdomestica': 'Malus_domestica',
'Mesculenta': 'Manihot_esculenta',
'Mguttatus': 'Mimulus_guttatus',
'Mpolymorpha': 'Marchantia_polymorpha',
'MpusillaCCMP1545': 'Micromonas_pusilla',
'MspRCC299': 'Micromonas_sp._RCC299',
'Mtruncatula': 'Medicago_truncatula',
'Oeuropaea': 'Olea_europaea',
'Olucimarinus': 'Ostreococcus_sp._lucimarinus',
'Osativa': 'Oryza_sativa',
'Othomaeum': 'Oropetium_thomaeum',
'Ppatens': 'Physcomitrella_patens',
'Ppersica': 'Prunus_persica',
'Ptrichocarpa': 'Populus_trichocarpa',
'Pumbilicalis': 'Porphyra_umbilicalis',
'Rcommunis': 'Ricinus_communis',
'Sbicolor': 'Sorghum_bicolor',
'Sitalica': 'Setaria_italica',
'Slycopersicum': 'Solanum_lycopersicum',
'Smoellendorffii': 'Selaginella_moellendorffii',
'Spolyrhiza': 'Spirodela_polyrhiza',
'Stuberosum': 'Solanum_tuberosum',
'Taestivum': 'Triticum_aestivum',
'Tcacao': 'Theobroma_cacao',
'Vcarteri': 'Volvox_carteri',
'Vvinifera': 'Vitis_vinifera',
'Zmarina': 'Zostera_marina',
'Zmays': 'Zea_mays'
},
'animals': {
'acanthochromis_polyacanthus': 'acanthochromis_polyacanthus',
'ailuropoda_melanoleuca': 'ailuropoda_melanoleuca',
'amphilophus_citrinellus': 'amphilophus_citrinellus',
'amphiprion_ocellaris': 'amphiprion_ocellaris',
'amphiprion_percula': 'amphiprion_percula',
'anabas_testudineus': 'anabas_testudineus',
'anas_platyrhynchos_platyrhynchos': 'anas_platyrhynchos_platyrhynchos',
'anolis_carolinensis': 'anolis_carolinensis',
'anser_brachyrhynchus': 'anser_brachyrhynchus',
'aotus_nancymaae': 'aotus_nancymaae',
'apteryx_haastii': 'apteryx_haastii',
'apteryx_owenii': 'apteryx_owenii',
'apteryx_rowi': 'apteryx_rowi',
'astatotilapia_calliptera': 'astatotilapia_calliptera',
'astyanax_mexicanus': 'astyanax_mexicanus',
'betta_splendens': 'betta_splendens',
'bison_bison_bison': 'bison_bison_bison',
'bos_indicus_hybrid': 'bos_indicus',
'bos_mutus': 'bos_mutus',
'bos_taurus': 'bos_taurus',
'caenorhabditis_elegans': 'caenorhabditis_elegans',
'calidris_pugnax': 'calidris_pugnax',
'calidris_pygmaea': 'calidris_pygmaea',
'callithrix_jacchus': 'callithrix_jacchus',
'callorhinchus_milii': 'callorhinchus_milii',
'canis_familiaris': 'canis_lupus_familiaris',
'canis_lupus_dingo': 'canis_lupus_dingo',
'capra_hircus': 'capra_hircus',
'carlito_syrichta': 'carlito_syrichta',
'castor_canadensis': 'castor_canadensis',
'cavia_aperea': 'cavia_aperea',
'cavia_porcellus': 'cavia_porcellus',
'cebus_capucinus': 'cebus_capucinus',
'cercocebus_atys': 'cercocebus_atys',
'chelonoidis_abingdonii': 'chelonoidis_abingdonii',
'chinchilla_lanigera': 'chinchilla_lanigera',
'chlorocebus_sabaeus': 'chlorocebus_sabaeus',
'choloepus_hoffmanni': 'choloepus_hoffmanni',
'chrysemys_picta_bellii': 'chrysemys_picta_bellii',
'ciona_intestinalis': 'ciona_intestinalis',
'ciona_savignyi': 'ciona_savignyi',
'clupea_harengus': 'clupea_harengus',
'colobus_angolensis_palliatus': 'colobus_angolensis_palliatus',
'cottoperca_gobio': 'cottoperca_gobio',
'coturnix_japonica': 'coturnix_japonica',
'cricetulus_griseus_picr': 'cricetulus_griseus',
'crocodylus_porosus': 'crocodylus_porosus',
'cyanistes_caeruleus': 'cyanistes_caeruleus',
'cynoglossus_semilaevis': 'cynoglossus_semilaevis',
'cyprinodon_variegatus': 'cyprinodon_variegatus',
'danio_rerio': 'danio_rerio',
'dasypus_novemcinctus': 'dasypus_novemcinctus',
'denticeps_clupeoides': 'denticeps_clupeoides',
'dipodomys_ordii': 'dipodomys_ordii',
'dromaius_novaehollandiae': 'dromaius_novaehollandiae',
'drosophila_melanogaster': 'drosophila_melanogaster',
'echinops_telfairi': 'echinops_telfairi',
'electrophorus_electricus': 'electrophorus_electricus',
'eptatretus_burgeri': 'eptatretus_burgeri',
'equus_asinus_asinus': 'equus_asinus_asinus',
'equus_caballus': 'equus_caballus',
'erinaceus_europaeus': 'erinaceus_europaeus',
'erpetoichthys_calabaricus': 'erpetoichthys_calabaricus',
'esox_lucius': 'esox_lucius',
'felis_catus': 'felis_catus',
'ficedula_albicollis': 'ficedula_albicollis',
'fukomys_damarensis': 'fukomys_damarensis',
'fundulus_heteroclitus': 'fundulus_heteroclitus',
'gadus_morhua': 'gadus_morhua',
'gallus_gallus': 'gallus_gallus',
'gambusia_affinis': 'gambusia_affinis',
'gasterosteus_aculeatus': 'gasterosteus_aculeatus',
'gopherus_agassizii': 'gopherus_agassizii',
'gorilla_gorilla': 'gorilla_gorilla',
'gouania_willdenowi': 'gouania_willdenowi',
'haplochromis_burtoni': 'haplochromis_burtoni',
'heterocephalus_glaber_female': 'heterocephalus_glaber',
'hippocampus_comes': 'hippocampus_comes',
'homo_sapiens': 'homo_sapiens',
'hucho_hucho': 'hucho_hucho',
'ictalurus_punctatus': 'ictalurus_punctatus',
'ictidomys_tridecemlineatus': 'ictidomys_tridecemlineatus',
'jaculus_jaculus': 'jaculus_jaculus',
'junco_hyemalis': 'junco_hyemalis',
'kryptolebias_marmoratus': 'kryptolebias_marmoratus',
'labrus_bergylta': 'labrus_bergylta',
'larimichthys_crocea': 'larimichthys_crocea',
'lates_calcarifer': 'lates_calcarifer',
'latimeria_chalumnae': 'latimeria_chalumnae',
'lepidothrix_coronata': 'lepidothrix_coronata',
'lepisosteus_oculatus': 'lepisosteus_oculatus',
'lonchura_striata_domestica': 'lonchura_striata_domestica',
'loxodonta_africana': 'loxodonta_africana',
'macaca_fascicularis': 'macaca_fascicularis',
'macaca_mulatta': 'macaca_mulatta',
'macaca_nemestrina': 'macaca_nemestrina',
'manacus_vitellinus': 'manacus_vitellinus',
'mandrillus_leucophaeus': 'mandrillus_leucophaeus',
'marmota_marmota_marmota': 'marmota_marmota_marmota',
'mastacembelus_armatus': 'mastacembelus_armatus',
'maylandia_zebra': 'maylandia_zebra',
'meleagris_gallopavo': 'meleagris_gallopavo',
'melopsittacus_undulatus': 'melopsittacus_undulatus',
'meriones_unguiculatus': 'meriones_unguiculatus',
'mesocricetus_auratus': 'mesocricetus_auratus',
'microcebus_murinus': 'microcebus_murinus',
'microtus_ochrogaster': 'microtus_ochrogaster',
'mola_mola': 'mola_mola',
'monodelphis_domestica': 'monodelphis_domestica',
'monopterus_albus': 'monopterus_albus',
'mus_caroli': 'mus_caroli',
'mus_musculus': 'mus_musculus',
'mus_pahari': 'mus_pahari',
'mus_spicilegus': 'mus_spicilegus',
'mus_spretus': 'mus_spretus',
'mustela_putorius_furo': 'mustela_putorius_furo',
'myotis_lucifugus': 'myotis_lucifugus',
'nannospalax_galili': 'nannospalax_galili',
'neolamprologus_brichardi': 'neolamprologus_brichardi',
'neovison_vison': 'neovison_vison',
'nomascus_leucogenys': 'nomascus_leucogenys',
'notamacropus_eugenii': 'notamacropus_eugenii',
'notechis_scutatus': 'notechis_scutatus',
'nothoprocta_perdicaria': 'nothoprocta_perdicaria',
'numida_meleagris': 'numida_meleagris',
'ochotona_princeps': 'ochotona_princeps',
'octodon_degus': 'octodon_degus',
'oreochromis_niloticus': 'oreochromis_niloticus',
'ornithorhynchus_anatinus': 'ornithorhynchus_anatinus',
'oryctolagus_cuniculus': 'oryctolagus_cuniculus',
'oryzias_latipes': 'oryzias_latipes',
'oryzias_melastigma': 'oryzias_melastigma',
'otolemur_garnettii': 'otolemur_garnettii',
'ovis_aries': 'ovis_aries',
'pan_paniscus': 'pan_paniscus',
'pan_troglodytes': 'pan_troglodytes',
'panthera_pardus': 'panthera_pardus',
'panthera_tigris_altaica': 'panthera_tigris_altaica',
'papio_anubis': 'papio_anubis',
'parambassis_ranga': 'parambassis_ranga',
'paramormyrops_kingsleyae': 'paramormyrops_kingsleyae',
'parus_major': 'parus_major',
'pelodiscus_sinensis': 'pelodiscus_sinensis',
'periophthalmus_magnuspinnatus': 'periophthalmus_magnuspinnatus',
'peromyscus_maniculatus_bairdii': 'peromyscus_maniculatus_bairdii',
'petromyzon_marinus': 'petromyzon_marinus',
'phascolarctos_cinereus': 'phascolarctos_cinereus',
'piliocolobus_tephrosceles': 'piliocolobus_tephrosceles',
'poecilia_formosa': 'poecilia_formosa',
'poecilia_latipinna': 'poecilia_latipinna',
'poecilia_mexicana': 'poecilia_mexicana',
'poecilia_reticulata': 'poecilia_reticulata',
'pogona_vitticeps': 'pogona_vitticeps',
'pongo_abelii': 'pongo_abelii',
'procavia_capensis': 'procavia_capensis',
'prolemur_simus': 'prolemur_simus',
'propithecus_coquereli': 'propithecus_coquereli',
'pteropus_vampyrus': 'pteropus_vampyrus',
'pundamilia_nyererei': 'pundamilia_nyererei',
'pygocentrus_nattereri': 'pygocentrus_nattereri',
'rattus_norvegicus': 'rattus_norvegicus',
'rhinopithecus_bieti': 'rhinopithecus_bieti',
'rhinopithecus_roxellana': 'rhinopithecus_roxellana',
'saimiri_boliviensis_boliviensis': 'saimiri_boliviensis_boliviensis',
'salvator_merianae': 'salvator_merianae',
'sarcophilus_harrisii': 'sarcophilus_harrisii',
'scleropages_formosus': 'scleropages_formosus',
'scophthalmus_maximus': 'scophthalmus_maximus',
'serinus_canaria': 'serinus_canaria',
'seriola_dumerili': 'seriola_dumerili',
'seriola_lalandi_dorsalis': 'seriola_lalandi_dorsalis',
'sorex_araneus': 'sorex_araneus',
'spermophilus_dauricus': 'spermophilus_dauricus',
'sphenodon_punctatus': 'sphenodon_punctatus',
'stegastes_partitus': 'stegastes_partitus',
'sus_scrofa': 'sus_scrofa',
'taeniopygia_guttata': 'taeniopygia_guttata',
'takifugu_rubripes': 'takifugu_rubripes',
'tetraodon_nigroviridis': 'tetraodon_nigroviridis',
'theropithecus_gelada': 'theropithecus_gelada',
'tupaia_belangeri': 'tupaia_belangeri',
'tursiops_truncatus': 'tursiops_truncatus',
'urocitellus_parryii': 'urocitellus_parryii',
'ursus_americanus': 'ursus_americanus',
'ursus_maritimus': 'ursus_maritimus',
'vicugna_pacos': 'vicugna_pacos',
'vombatus_ursinus': 'vombatus_ursinus',
'vulpes_vulpes': 'vulpes_vulpes',
'xenopus_tropicalis': 'xenopus_tropicalis',
'xiphophorus_couchianus': 'xiphophorus_couchianus',
'xiphophorus_maculatus': 'xiphophorus_maculatus',
'zonotrichia_albicollis': 'zonotrichia_albicollis'
}
}
def plot_comparison(f1_before, f1_after, acc_before, acc_after, title, picture_name, folder,
tight=False):
plt.cla()
plt.title(title)
# old colors were 'chocolate' and 'royalblue'
plt.plot(range(100), f1_before, color='tab:red', linestyle='dashed',
label='Regular Genic F1')
plt.plot(range(100), f1_after, color='tab:red', label='Genic F1 with Overlapping')
plt.plot(range(100), acc_before, color='tab:purple', linestyle='dashed',
label='Regular Accuracy')
plt.plot(range(100), acc_after, color='tab:purple', label='Accuracy with Overlapping')
plt.ylim((0.0, 1.0))
ticks = [0, 25, 50, 75, 100]
plt.xticks(ticks, [str(t * 200) for t in ticks])
plt.xlabel('Basepair Offset in Sequence')
if 'Olucimarinus' in picture_name:
plt.legend(loc='upper right')
else:
plt.legend(loc='lower left')
file_path = os.path.join(folder, picture_name)
if tight:
plt.savefig(file_path, bbox_inches='tight' )
else:
plt.savefig(file_path)
print(file_path, 'saved')
parser = argparse.ArgumentParser()
parser.add_argument('-before', '--before_main_folder', type=str, required=True)
parser.add_argument('-after', '--after_main_folder', type=str, required=True)
parser.add_argument('-o', '--output_folder', type=str, required=True)
parser.add_argument('-d', '--dataset', type=str, default='plants')
parser.add_argument('-oa', '--output-aggregate', action='store_true')
args = parser.parse_args()
assert args.dataset in ['plants', 'animals']
genic_f1s = {'before': [], 'after': []}
accuracies = {'before': [], 'after': []}
for species in os.listdir(args.before_main_folder):
if not os.path.isdir(os.path.join(args.before_main_folder, species)):
continue
log_files = {
'before': os.path.join(args.before_main_folder, species, 'length_wise_eval.log'),
'after': os.path.join(args.after_main_folder, species, 'length_wise_eval.log'),
}
not_good = False
for log_file_path in log_files.values():
if not os.path.exists(log_file_path) or not os.path.getsize(log_file_path) > 0:
print(f'Log file {log_file_path} is empty or not existing.')
not_good = True
if not_good:
continue
for type_, log_file_path in log_files.items():
# parse metric table
species_genic_f1s, species_accuracies = [], []
f = open(log_file_path)
while True:
line = next(f)
if line.startswith('| genic'):
species_genic_f1s.append(float(line.strip().split('|')[4].strip()))
# parse total accuracy
next(f)
species_accuracies.append(float(next(f).strip().split(' ')[-1]))
if len(species_genic_f1s) == 100:
genic_f1s[type_].append(species_genic_f1s)
accuracies[type_].append(species_accuracies)
break
renamed_species = names[args.dataset][species]
plot_comparison(genic_f1s['before'][-1],
genic_f1s['after'][-1],
accuracies['before'][-1],
accuracies['after'][-1],
# f'Performance by Sequence Position of {species}',
f'{renamed_species.capitalize()}',
f'{species}_comparison',
args.output_folder)
# make aggregate plot
f1s_avg, accs_avg = {}, {}
for type_, values in genic_f1s.items():
f1s_avg[type_] = np.mean(np.array(genic_f1s[type_]), axis=0)
accs_avg[type_] = np.mean(np.array(accuracies[type_]), axis=0)
plot_comparison(f1s_avg['before'],
f1s_avg['after'],
accs_avg['before'],
accs_avg['after'],
f'Average {args.dataset.capitalize()} Performance by Input Sequence Position',
f'aggregate_comparison',
args.output_folder,
tight=True)
if args.output_aggregate:
# write aggregate info to disk as csv
f = open(f'{args.output_folder}/{args.dataset.capitalize()}_aggregate.csv', 'w')
print('position,f1,f1_with_overlapping,acc,acc_with_overlapping', file=f)
for i in range(100):
print(','.join([str(e) for e in [i * 200, f1s_avg['before'][i], f1s_avg['after'][i],
accs_avg['before'][i], accs_avg['after'][i]]]), file=f)