|
covid-19 |
12 |
|
deep learning |
10 |
|
cardiovascular diseases |
8 |
|
machine learning |
8 |
|
recurrent cardiovascular events |
8 |
|
risk prediction score |
8 |
|
cardiac infection |
7 |
|
cardiomyocytes |
7 |
|
heart |
7 |
|
omicron |
7 |
|
pathogen detection |
7 |
|
sars-cov-2 |
7 |
|
assembly |
6 |
|
cd274 |
6 |
|
cell adhesion molecules |
6 |
|
hfe |
6 |
|
intragraft gene expression profiles |
6 |
|
liver graft injury |
6 |
|
liver transplantation |
6 |
|
metagenomics |
6 |
|
variant calling |
6 |
|
ace2 expression and distribution |
5 |
|
ampc beta-lactamase |
5 |
|
antimicrobial resistance prediction |
5 |
|
cdh17 |
5 |
|
cdh17/β-catenin axis |
5 |
|
children |
5 |
|
compositional analysis |
5 |
|
disease severity |
5 |
|
esbl |
5 |
|
hcc |
5 |
|
laribacter hongkongensis |
5 |
|
lung development |
5 |
|
lung progenitor cells |
5 |
|
mechanism |
5 |
|
minion long reads |
5 |
|
patients’ ages |
5 |
|
prevalence |
5 |
|
sars-cov-2 virus |
5 |
|
snp calling |
5 |
|
spink1 |
5 |
|
vulnerability |
5 |
|
abundance detection |
4 |
|
antibiotic resistance |
4 |
|
antibiotic resistance genes |
4 |
|
argnet |
4 |
|
autoencoder |
4 |
|
compressed indexing |
4 |
|
contig |
4 |
|
database |
4 |
|
de bruijn graph |
4 |
|
dna-protein alignment |
4 |
|
dynamic programming |
4 |
|
error correction |
4 |
|
gap-filling |
4 |
|
gene-disease association |
4 |
|
genome |
4 |
|
genomics |
4 |
|
literature mining |
4 |
|
low coverage |
4 |
|
metagenome assembly |
4 |
|
multiclass classification convolutional neural network |
4 |
|
next generation sequencing |
4 |
|
parallel computing |
4 |
|
read alignment |
4 |
|
reads alignments |
4 |
|
relation extraction |
4 |
|
scaffold |
4 |
|
shotgun metagenomic sequencing |
4 |
|
simd |
4 |
|
succinct data structure |
4 |
|
targeted gene |
4 |
|
article |
3 |
|
assembly-free approach |
3 |
|
bert |
3 |
|
bioinformatics |
3 |
|
biomedical question answering |
3 |
|
cardiac development and function |
3 |
|
computer program |
3 |
|
data integration |
3 |
|
diabetic nephropathy |
3 |
|
dna sequence |
3 |
|
gene regulatory network |
3 |
|
genome-wide association study |
3 |
|
gestational age |
3 |
|
gpu |
3 |
|
high contiguity |
3 |
|
high throughput sequencing |
3 |
|
hpc |
3 |
|
human genome |
3 |
|
human references |
3 |
|
imputation |
3 |
|
iterative hybrid assembly |
3 |
|
lncrnas |
3 |
|
long non-coding rnas |
3 |
|
long reads |
3 |
|
micrornas |
3 |
|
mirnas |
3 |
|
ngs |
3 |
|
novel sequences |
3 |
|
numerical encoding |
3 |
|
one-stage partial-nitritation anammox |
3 |
|
preterm birth |
3 |
|
regulatory interactions |
3 |
|
secondary analysis |
3 |
|
sequence analysis |
3 |
|
single-nucleotide polymorphisms |
3 |
|
text mining |
3 |
|
transcription factors |
3 |
|
ultra-low-coverage whole genome sequencing |
3 |
|
whole-exome sequencing |
3 |
|
whole-genome seqeuncing |
3 |
|
ann |
2 |
|
artificial neural network |
2 |
|
assessment |
2 |
|
autism spectrum disorder |
2 |
|
bayesian model |
2 |
|
biomedical literature |
2 |
|
biomedical relation extraction |
2 |
|
clinical decision support |
2 |
|
compass |
2 |
|
contrastive learning |
2 |
|
corresponding gene embeddings |
2 |
|
disgenet platform |
2 |
|
domain-specific language models |
2 |
|
drug target prediction |
2 |
|
genome assembly |
2 |
|
haplotype comparison |
2 |
|
hepatocellular carcinoma |
2 |
|
heterozygosity |
2 |
|
immune infiltration |
2 |
|
indel calling |
2 |
|
mendelian randomization |
2 |
|
multi-platform sequencing data |
2 |
|
multiple platform sequencing |
2 |
|
n50 |
2 |
|
nanopore sequencing |
2 |
|
neural network |
2 |
|
nucleotide sequence - data processing |
2 |
|
oxford nanopore sequencing |
2 |
|
pair-aware representation |
2 |
|
pan-cancer |
2 |
|
pubmed website |
2 |
|
representation unification |
2 |
|
rho gtpases |
2 |
|
scaffolds |
2 |
|
single-cell rna sequencing |
2 |
|
single-cell transcriptome |
2 |
|
spatial reconstruction |
2 |
|
spatial transcriptomics |
2 |
|
structural variant (sv) calling |
2 |
|
sv genotyping |
2 |
|
sv phasing |
2 |
|
third-generation sequencing |
2 |
|
triangular attention |
2 |
|
variant representation |
2 |
|
variant-disease associations |
2 |
|
10x genomics |
1 |
|
adjuvant chemotherapy |
1 |
|
allele-specific activity |
1 |
|
artificial intelligence |
1 |
|
base modification |
1 |
|
base-calling |
1 |
|
causal association |
1 |
|
cholelithiasis |
1 |
|
cohort study |
1 |
|
computed tomography |
1 |
|
critical pathways |
1 |
|
cultivated and wild rice |
1 |
|
direct dna sequencing |
1 |
|
direct rna sequencing |
1 |
|
drug response |
1 |
|
encode |
1 |
|
eqtls |
1 |
|
esophageal cancer |
1 |
|
functional epigenomes |
1 |
|
functional genomics |
1 |
|
fungal genomics |
1 |
|
gastroesophageal reflux disease |
1 |
|
gastrointestinal diseases |
1 |
|
gene expression |
1 |
|
genetic analyses |
1 |
|
genetic variation |
1 |
|
genome annotations |
1 |
|
gtex |
1 |
|
interaction |
1 |
|
linked-read |
1 |
|
methylomes |
1 |
|
molecular barcoding |
1 |
|
non-small cell lung cancer |
1 |
|
pathogen genomics |
1 |
|
pathogenesis |
1 |
|
personal genome |
1 |
|
pet-ct |
1 |
|
phasing |
1 |
|
predictive models |
1 |
|
prognosis |
1 |
|
reads partitioning |
1 |
|
reads simulation |
1 |
|
shared genetic basis |
1 |
|
structural variants |
1 |
|
tissue specificity |
1 |
|
transcriptional termination regions (ttrs) |
1 |
|
transformer model |
1 |
|
x-ray |
1 |
