def mask_filtering(input_path, output_path, mask): mr = MatrixReader(input_path, dtype=int) mw = MatrixWriter(output_path, dtype=int) mw.write_header(mr.read_header()) for row in mr: values = [1 if (v & mask) != 0 else 0 for v in row.values] mw.write(row.name, values) mr.close() mw.close()
def run(task):
# Initialization
task.check_conf(["entities", "repositories", "repositories.assay"])
conf = task.conf
log = task.logger()
task.check_in_ports(["absi_tumour_unit_ids"])
task.check_out_ports(["log2r_ids"])
absi_tumour_unit_port = task.ports["absi_tumour_unit_ids"]
log2r_port = task.ports["log2r_ids"]
es = EntityServer(conf["entities"])
em = es.manager()
rs = RepositoryServer(conf["repositories"])
data_repo = rs.repository("data")
overwrite = conf.get("overwrite", False, dtype=bool)
# Run
# Index normal pools by study, platform, topography
log.debug("Indexing normal pools by study, platform and topography ...")
pools_index = em.group_ids(
["study_id", "platform_id", "icdo_topography"],
types.MRNA_NORMAL_POOL, unique = True)
# Index log2r assays by absi_id
log.debug("Indexing log2r assays by absi assay ...")
log2r_index = em.group_ids(
["absi_id"],
types.MRNA_LOG2R, unique = True)
absi_tumour_unit_ids = absi_tumour_unit_port.read_all()
log.info("Processing %i mrna absi tumour units ..." % len(absi_tumour_unit_ids))
#log.debug("[%s]" % (", ".join(absi_tumour_unit_ids)))
# For each abs intensity assay
pool = None
pool_data = {}
for absi in iter_tumour_absi(conf, em, absi_tumour_unit_ids, log):
absi_id = absi["id"]
rpath = os.path.join(absi["data_file/path"], absi["data_file/name"])
icdo_topography = absi["icdo_topography"]
normal_counterpart = absi.get("normal_counterpart", icdo_topography)
if icdo_topography != normal_counterpart:
keystr = "(%s, %s, %s --> %s)" % (absi["study_id"], absi["platform_id"], icdo_topography, normal_counterpart)
else:
keystr = "(%s, %s, %s)" % (absi["study_id"], absi["platform_id"], icdo_topography)
exists = (absi_id,) in log2r_index
if exists:
log2r_id = log2r_index[(absi_id,)][0]
else:
log2r_id = str(uuid.uuid4())
data_file_path = types.MRNA_LOG2R.replace(".", "/")
data_file_name = log2r_id + ".tsv.gz"
dst_path = os.path.join(data_file_path, data_file_name)
if not overwrite and exists and data_repo.exists(dst_path):
log.debug("Skipping calculation of log2r for tumour assay %s %s as it is already calculated" % (keystr, absi_id))
log2r_port.write(log2r_id)
continue
log.info("Processing tumour assay %s %s from %s ..." % (keystr, absi_id, rpath))
repo = rs.repository(absi["data_file/repo"])
if not repo.exists(rpath):
log.error("File not found: %s" % rpath)
continue
# Get normal counterpart data
if pool is None \
or absi["study_id"] != pool["study_id"] \
or absi["platform_id"] != pool["platform_id"] \
or normal_counterpart != pool["icdo_topography"]:
pool_key = (absi["study_id"], absi["platform_id"], normal_counterpart)
if pool_key not in pools_index:
log.error("Normal pool not found for tumour assay (%s) %s {%s}" % (", ".join(pool_key), absi_id, absi.get("source_path", "")))
continue
pool_id = pools_index[pool_key][0]
pool = em.find(pool_id, types.MRNA_NORMAL_POOL)
if pool is None:
log.error("Normal pool %s not found by the entity manager !" % pool_id)
continue
pool_data = read_pool_data(conf, rs, pool, log)
if pool_data is None:
pool = None
continue
log.info("Using normal pool ({}) [{}]".format(", ".join(pool_key), pool_id))
# Calculate log2 ratios
mr = MatrixReader(repo.open_reader(rpath))
header = mr.read_header()
if len(header.columns) != 2:
log.error("Unexpected number of columns: %i" % len(header.columns))
mr.close()
continue
warn_count = {
"id_not_in_pool" : 0,
"value_is_nan" : 0,
"pool_value_is_nan" : 0,
"value_is_inf" : 0,
"pool_value_is_inf" : 0}
data = {}
for row in mr:
if row.name in data:
log.error("Skipping tumour assay, duplicated row %s at file %s" % (row.name, rpath))
break
value = row.values[0]
value_is_nan = numpy.isnan(value)
if value_is_nan:
warn_count["value_is_nan"] += 1
elif numpy.isinf(value):
warn_count["value_is_inf"] += 1
if row.name not in pool_data:
pool_value = value = numpy.nan
warn_count["id_not_in_pool"] += 1
else:
pool_value = pool_data[row.name]
pool_value_is_nan = numpy.isnan(pool_value)
if pool_value_is_nan:
warn_count["pool_value_is_nan"] += 1
elif numpy.isinf(pool_value):
warn_count["pool_value_is_inf"] += 1
if not value_is_nan and not pool_value_is_nan: # and value != 0.0 and pool_value != 0.0:
log2r = value - pool_value
else:
log2r = numpy.nan
if not numpy.isinf(log2r):
data[row.name] = log2r
#else:
# log.warn("row = %s, log2r = %f, value = %f, pool_value = %f" % (row.name, log2r, value, pool_value))
mr.close()
sb = ["{0}={1}".format(k, v) for k, v in warn_count.items() if v > 0]
if len(sb) > 0:
log.warn(", ".join(sb))
# Save log2 ratios data and assay
log2r = deepcopy(absi)
log2r["id"] = log2r_id
log2r["absi_id"] = absi_id
log2r["normal_pool_id"] = pool["id"]
log2r["data_file/repo"] = data_repo.name()
log2r["data_file/path"] = data_file_path
log2r["data_file/name"] = data_file_name
msg = {True : "Overwritting", False : "Writting"}[exists]
log.debug("%s log2 ratio data to %s ..." % (msg, dst_path))
mw = MatrixWriter(data_repo.open_writer(dst_path))
mw.write_header(["id", "value"])
for name, value in sorted(data.items()):
mw.write(name, [value])
mw.close()
em.persist(log2r, types.MRNA_LOG2R)
log2r_port.write(log2r_id)
em.close()
es.close()
data_repo.close()
rs.close()
def run(task):
# Initialization
task.check_conf(["entities", "repositories", "repositories.assay"])
conf = task.conf
log = task.logger()
task.check_in_ports(["normal_pool_ids"])
normal_pool_port = task.ports["normal_pool_ids"]
es = EntityServer(conf["entities"])
em = es.manager()
rs = RepositoryServer(conf["repositories"])
data_repo = rs.repository("data")
overwrite = conf.get("overwrite", False, dtype=bool)
# Run
log.info("Processing %i mrna normal pools ..." % normal_pool_port.size())
for pool_id in normal_pool_port:
pool = em.find(pool_id, types.MRNA_NORMAL_POOL)
if pool is None:
log.error("%s not found: %s" % (types.MRNA_NORMAL_POOL, pool_id))
continue
mf = pool.missing_fields(["study_id", "platform_id", "icdo_topography", "size", "mrna_absi_ids"])
if len(mf) > 0:
log.error("Normal pool %s missing required fields: %s {%s}" % (pool_id, mf, pool.get("__doc_path", "")))
continue
key = (pool["study_id"], pool["platform_id"], pool["icdo_topography"])
log.info("Normal pool (%s) [%s] with %i assays ..." % (", ".join(key), pool_id, pool["size"]))
data_file_path = types.MRNA_NORMAL_POOL.replace(".", "/")
data_file_name = pool_id + ".tsv.gz"
dst_rel_path = os.path.join(data_file_path, data_file_name)
#dst_path = os.path.join(conf["repo.data"], dst_rel_path)
if not overwrite and data_repo.exists(dst_rel_path) \
and "mrna_absi_ids" in pool and "pooled_assays" in pool and \
len(pool["mrna_absi_ids"]) == pool.get("pooled_assays", dtype=int):
log.warn("Skipping normal pool %s that already has data" % pool_id)
continue
method = MeanPoolMethod()
pooled_assays = 0
duplicated_rows = False
for absi in em.iter_all(types.MRNA_ABS_INTENSITY, eids = pool["mrna_absi_ids"]):
mf = absi.missing_fields(["data_file/path", "data_file/name"])
if len(mf) > 0:
log.error("Normal assay %s missing required fields: %s {%s}" % (absi["id"], mf, absi.get("__doc_path", "")))
continue
data_file = absi["data_file"]
rel_path = os.path.join(data_file["path"], data_file["name"])
#filename = os.path.join(conf["repo.assays"], rel_path)
repo = rs.repository(data_file["repo"])
if not repo.exists(rel_path):
log.error("File not found: %s" % rel_path)
continue
log.debug("Processing normal assay %s for source assay %s at %s ..." % (absi["id"], absi["assay_id"], rel_path))
pooled_assays += 1
mr = MatrixReader(repo.open_reader(rel_path))
header = mr.read_header()
if len(header.columns) != 2:
log.error("Unexpected number of columns: %i" % len(header.columns))
mr.close()
continue
row_names = set()
for row in mr:
if row.name in row_names:
log.error("Skipping normal assay, duplicated row %s at file %s" % (row.name, rel_path))
duplicated_rows = True
break
else:
row_names.add(row.name)
value = numpy.exp2(row.values[0])
method.process(row.name, value)
mr.close()
if not duplicated_rows and pooled_assays > 0:
exists = data_repo.exists(dst_rel_path)
msg = {True : "Overwritting", False : "Writting"}[exists]
log.debug("%s pooled data to %s ..." % (msg, dst_rel_path))
mw = MatrixWriter(data_repo.open_writer(dst_rel_path))
mw.write_header(["id", "value"])
for row in method.pooled_rows():
value = numpy.log2(row.values[0])
mw.write(row.name, [value])
mw.close()
pool["pooled_assays"] = pooled_assays
pool["data_file/repo"] = "data"
pool["data_file/path"] = data_file_path
pool["data_file/name"] = data_file_name
em.persist(pool, types.MRNA_NORMAL_POOL)
em.close()
return 0