2022 International Arab Conference on Information Technology (ACIT),
Journal Year:
2022,
Volume and Issue:
unknown, P. 1 - 6
Published: Nov. 22, 2022
High-throughput
data
technology
has
enabled
studies
on
microRNA
analysis
to
evolve
in
the
field
of
early
disease
diagnosis.
Multiple
Sclerosis
is
one
most
known
chronic
autoimmune
diseases
that
can
cause
severe
disabilities,
including
partial
blindness,
motor
and
considerable
psychological
impact.
This
work
introduces
a
complete
BiLSTM
deep
learning
model
for
analyzing
miRNA
patients
provide
detection
this
disease.
The
introduced
based
preprocessing
flow
published
earlier
by
authors.
experiments
were
conducted
dataset
215
transcriptomic
samples
treated
untreated
patients.
implicated
results
quite
promising,
as
produced
sensitivity,
specificity,
precision,
accuracy,
F1
scores
(0.785,0.789,0.788,
0.8,
0.79)
respectively,
achieved.
To
ensure
robustness,
obtained
accuracy
was
compared
two
other
state-of-art
models,
proposed
relatively
outperformed
literature
models.
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(22), P. 11962 - 11962
Published: Nov. 7, 2024
Glycan
structures
of
glycoproteins
and
glycolipids
on
the
surface
glycocalyx
luminal
sugar
layers
intracellular
membrane
compartments
in
human
cells
constitute
a
key
interface
between
biological
processes
external
environments.
Sialic
acids,
class
alpha-keto
acid
sugars
with
nine-carbon
backbone,
are
frequently
found
as
terminal
residues
these
glycoconjugates,
forming
critical
components
layers.
Changes
status
content
cellular
sialic
acids
closely
linked
to
many
diseases
such
cancer,
cardiovascular,
neurological,
inflammatory,
infectious,
lysosomal
storage
diseases.
The
molecular
machineries
responsible
for
biosynthesis
sialylated
glycans,
along
their
interacting
partners,
important
therapeutic
strategies
targets
drug
development.
purpose
this
article
is
comprehensively
review
recent
literature
provide
new
scientific
insights
into
mechanisms
implications
sialylation
across
various
Recent
advances
clinical
developments
acid-related
therapies
also
summarized
discussed.
2022 International Arab Conference on Information Technology (ACIT),
Journal Year:
2022,
Volume and Issue:
unknown, P. 1 - 6
Published: Nov. 22, 2022
High-throughput
data
technology
has
enabled
studies
on
microRNA
analysis
to
evolve
in
the
field
of
early
disease
diagnosis.
Multiple
Sclerosis
is
one
most
known
chronic
autoimmune
diseases
that
can
cause
severe
disabilities,
including
partial
blindness,
motor
and
considerable
psychological
impact.
This
work
introduces
a
complete
BiLSTM
deep
learning
model
for
analyzing
miRNA
patients
provide
detection
this
disease.
The
introduced
based
preprocessing
flow
published
earlier
by
authors.
experiments
were
conducted
dataset
215
transcriptomic
samples
treated
untreated
patients.
implicated
results
quite
promising,
as
produced
sensitivity,
specificity,
precision,
accuracy,
F1
scores
(0.785,0.789,0.788,
0.8,
0.79)
respectively,
achieved.
To
ensure
robustness,
obtained
accuracy
was
compared
two
other
state-of-art
models,
proposed
relatively
outperformed
literature
models.
