|
bioinformatics |
9 |
|
adiponectin |
8 |
|
antioxidants |
8 |
|
diabetes |
8 |
|
jak2/stat3 |
8 |
|
myocardial ischemia injury |
8 |
|
pi3k/akt |
8 |
|
genetic loci |
7 |
|
humans |
7 |
|
lung cancer |
7 |
|
software |
7 |
|
variant prioritization |
7 |
|
gene regulatory networks |
6 |
|
microarray |
6 |
|
deep learning |
5 |
|
diabetes mellitus |
5 |
|
embryonic stem cell-derived mesenchymal stem cells |
5 |
|
exome sequencing |
5 |
|
gene regulatory network |
5 |
|
infarct size |
5 |
|
internet |
5 |
|
ischemia reperfusion injury |
5 |
|
machine learning |
5 |
|
mendelian disease |
5 |
|
microrna |
5 |
|
proteomics |
5 |
|
pulmonary arterial hypertension |
5 |
|
quality control |
5 |
|
regulatory network |
5 |
|
variant annotation |
5 |
|
3d voxels |
4 |
|
acacetin |
4 |
|
adenocarcinoma - genetics |
4 |
|
adult |
4 |
|
aged |
4 |
|
amino acid substitution |
4 |
|
artificial intelligence |
4 |
|
asian continental ancestry group - genetics |
4 |
|
association study |
4 |
|
biochemical genetics |
4 |
|
bioinformatics methods |
4 |
|
carcinoma, squamous cell - genetics |
4 |
|
cell type-specific |
4 |
|
chromatin immunoprecipitation |
4 |
|
chromosomes, human, pair 10 - genetics |
4 |
|
chromosomes, human, pair 15 - genetics |
4 |
|
chromosomes, human, pair 17 |
4 |
|
chromosomes, human, pair 5 - genetics |
4 |
|
chromosomes, human, pair 6 - genetics |
4 |
|
databases - nucleic acid |
4 |
|
disease-susceptible gene |
4 |
|
ensemble 3d deep learning |
4 |
|
epigenome |
4 |
|
female |
4 |
|
flavones - metabolism - pharmacology |
4 |
|
gene expression profiling |
4 |
|
genetic predisposition to disease |
4 |
|
genetic risk score |
4 |
|
genetic variation |
4 |
|
genetics |
4 |
|
genome-wide association study |
4 |
|
genotype-phenotype correlations |
4 |
|
hek293 cells |
4 |
|
heterozygote |
4 |
|
hkv1.5 |
4 |
|
inflammatory mediators |
4 |
|
kv1.5 potassium channel - antagonists and inhibitors - chemistry - genetics |
4 |
|
lung neoplasms - genetics |
4 |
|
mapping complex traits |
4 |
|
metal-binding sites |
4 |
|
metalloprotein |
4 |
|
middle aged |
4 |
|
mirna-200c |
4 |
|
mutation detection |
4 |
|
open channel blockade |
4 |
|
pain |
4 |
|
pluripotent stem cell-derived cardiomyocyte differentiation and maturation |
4 |
|
polymorphism, single nucleotide |
4 |
|
potassium channel blockers - metabolism - pharmacology |
4 |
|
pulpal blood |
4 |
|
pulpitis |
4 |
|
rate-dependent blockade |
4 |
|
regulatory variant |
4 |
|
rna-seq |
4 |
|
selection - genetic |
4 |
|
smoking |
4 |
|
spatial features |
4 |
|
telomere length |
4 |
|
tonic blockade |
4 |
|
transcription factor |
4 |
|
vital pulp therapy |
4 |
|
aldehyde dehydrogenase |
3 |
|
base sequence |
3 |
|
cd44 |
3 |
|
cell proliferation |
3 |
|
chip-seq |
3 |
|
chromatin immunoprecipitation-sequencing |
3 |
|
chromatin state |
3 |
|
databases |
3 |
|
dna - chemistry - metabolism |
3 |
|
drug resistance |
3 |
|
drug side effect |
3 |
|
drug target |
3 |
|
drug-target interaction |
3 |
|
epigenetics |
3 |
|
evolution, molecular |
3 |
|
foxm1 |
3 |
|
function validation |
3 |
|
functional prediction |
3 |
|
gene regulation |
3 |
|
genetic mapping |
3 |
|
genome-wide association studies |
3 |
|
human embryonic stem cells |
3 |
|
mesenchymal stem cells |
3 |
|
molecular marker |
3 |
|
mouth rehabilitation |
3 |
|
myocardial infarction |
3 |
|
natural language processing |
3 |
|
neural network |
3 |
|
next generation sequencing |
3 |
|
nf-κb |
3 |
|
nucks |
3 |
|
omics |
3 |
|
oxidative stress |
3 |
|
pluripotency |
3 |
|
principal component analysis |
3 |
|
protein interaction mapping |
3 |
|
regulatory elements, transcriptional |
3 |
|
surface protein |
3 |
|
targets-search |
3 |
|
transcription factors - chemistry - genetics - metabolism |
3 |
|
transcriptional gene regulation |
3 |
|
tumor initiating cell |
3 |
|
web-based platform |
3 |
|
actionable mutation |
2 |
|
apoe |
2 |
|
bioinformatics tool |
2 |
|
cancer genomics |
2 |
|
computational biology - methods |
2 |
|
computational biology and bioinformatics |
2 |
|
databases, factual |
2 |
|
deg analysis |
2 |
|
drug response prediction |
2 |
|
federated chow test |
2 |
|
gene expression |
2 |
|
genomic big data |
2 |
|
highly variable gene |
2 |
|
hippocampal morphometry |
2 |
|
integrative analysis |
2 |
|
integrative data analysis |
2 |
|
models, statistical |
2 |
|
precision medicine |
2 |
|
scrna-seq |
2 |
|
self-attention mechanism |
2 |
|
single-cell rna seq |
2 |
|
single-cell transcriptomic data |
2 |
|
targeted cancer therapy |
2 |
|
tau deposition |
2 |
|
transcription factor-gene interaction |
2 |
|
transcription factors |
2 |
|
16s rrna |
1 |
|
3d genome |
1 |
|
4d confocal microscopy |
1 |
|
acinetobacter baumannii |
1 |
|
acute rejection |
1 |
|
adam10 |
1 |
|
advanced adenoma |
1 |
|
aging |
1 |
|
algorithms |
1 |
|
alignment |
1 |
|
alleles |
1 |
|
alzheimer's disease |
1 |
|
alzheimer’s disease |
1 |
|
amino acid sequence |
1 |
|
amino acids |
1 |
|
analytical performance |
1 |
|
animals |
1 |
|
b-cell development |
1 |
|
b-lymphocytes - cytology - physiology |
1 |
|
bayes theorem |
1 |
|
bayesian method |
1 |
|
bhlh factor |
1 |
|
binding sites |
1 |
|
blotting, northern |
1 |
|
blotting, western |
1 |
|
brain imaging |
1 |
|
breast neoplasms - genetics |
1 |
|
cancer |
1 |
|
cancer evolution, genomics, statistical modeling |
1 |
|
car-t |
1 |
|
cardiac output, low - etiology - genetics |
1 |
|
cell fate conversion |
1 |
|
cell line |
1 |
|
cerebral spinal fluid (csf) biomarker |
1 |
|
change point detection |
1 |
|
chemistry techniques, analytical |
1 |
|
chip-seq/chip |
1 |
|
chlorpyrifos |
1 |
|
chronic cardiovascular diseases |
1 |
|
cis-regulatory element |
1 |
|
cloning, molecular |
1 |
|
co-evolution |
1 |
|
cognitive and functional outcome |
1 |
|
colon cancer |
1 |
|
computational biology |
1 |
|
computer simulation |
1 |
|
conservation |
1 |
|
conserved sequence |
1 |
|
convolutional neural networks |
1 |
|
core promoter prediction |
1 |
|
cpg island |
1 |
|
cpg islands |
1 |
|
cpg islands - genetics |
1 |
|
cranial mesenchyme |
1 |
|
cranial mesoderm |
1 |
|
craniofacial |
1 |
|
crystallization |
1 |
|
ctcf |
1 |
|
ctcf-mediated loop |
1 |
|
cyp3a5 |
1 |
|
cytokines |
1 |
|
cytotrophoblast |
1 |
|
databases, genetic |
1 |
|
databases, protein |
1 |
|
dcd transplantation |
1 |
|
deep neural networks |
1 |
|
dictionary learning |
1 |
|
dioxin |
1 |
|
dna - genetics |
1 |
|
dna - genetics - metabolism |
1 |
|
dna binding |
1 |
|
dna methylation |
1 |
|
dna, ribosomal - genetics |
1 |
|
dna-binding proteins - genetics - physiology |
1 |
|
dna-binding proteins - metabolism |
1 |
|
drug discovery |
1 |
|
drug-resistant |
1 |
|
dsml 2: proof-of-concept: data science output has been formulated, implemented, and tested for one domain/problem |
1 |
|
embryo |
1 |
|
embryonic onset |
1 |
|
enhancer elements, genetic |
1 |
|
epigenesis, genetic |
1 |
|
eqtl analysis |
1 |
|
essential |
1 |
|
extracellular matrix-cell interaction |
1 |
|
fk506 |
1 |
|
forkhead transcription factors - genetics - physiology |
1 |
|
functional annotation |
1 |
|
gene expression regulation |
1 |
|
gene knockdown techniques |
1 |
|
gene regulatory networks - genetics |
1 |
|
genetic networks |
1 |
|
genome annotation |
1 |
|
genome, human |
1 |
|
genomics |
1 |
|
genotype |
1 |
|
germinal center - cytology |
1 |
|
glomerular |
1 |
|
graph neural networks |
1 |
|
group sparse optimization |
1 |
|
heart failure |
1 |
|
high risk polyps |
1 |
|
high throughput crystallization |
1 |
|
histone modification |
1 |
|
histones - metabolism |
1 |
|
huvecs |
1 |
|
hypertension |
1 |
|
hypertrophy |
1 |
|
iga nephropathy |
1 |
|
igan |
1 |
|
immunoglobulin |
1 |
|
immunoglobulin lambda-chains - genetics |
1 |
|
immunoglobulins - genetics |
1 |
|
immunohistochemistry |
1 |
|
integrative omics |
1 |
|
integrative omics data |
1 |
|
introns |
1 |
|
k-nearest neighbors |
1 |
|
kidney development |
1 |
|
kidney transplantation |
1 |
|
kshv |
1 |
|
labor drivers |
1 |
|
lana |
1 |
|
lasso-type regularization methods |
1 |
|
lymphoma |
1 |
|
magnesium |
1 |
|
mammals |
1 |
|
master transcription factor |
1 |
|
mdh2 |
1 |
|
mesenchyme |
1 |
|
mice |
1 |
|
mice, inbred strains |
1 |
|
microbiology |
1 |
|
microbiome |
1 |
|
micrornas |
1 |
|
models, chemical |
1 |
|
models, genetic |
1 |
|
models, molecular |
1 |
|
molecular diagnostics |
1 |
|
molecular sequence data |
1 |
|
multi-feature fusion |
1 |
|
multi-task learning |
1 |
|
network |
1 |
|
networks |
1 |
|
neural networks (computer) |
1 |
|
next-generation rna sequencing |
1 |
|
next-generation sequencing |
1 |
|
notch |
1 |
|
oligonucleotide array sequence analysis |
1 |
|
oncopanel sequencing |
1 |
|
ontology |
1 |
|
orthologous promoters |
1 |
|
otu picking |
1 |
|
pathology section |
1 |
|
pathway analysis |
1 |
|
pattern recognition, automated |
1 |
|
peptide bioactivity prediction |
1 |
|
phosphoproteins - metabolism |
1 |
|
placenta |
1 |
|
polycomb |
1 |
|
polymerase chain reaction |
1 |
|
polymorphism |
1 |
|
position-specific motif |
1 |
|
post-polypectomy colorectal cancer |
1 |
|
postmenopause |
1 |
|
predictive models |
1 |
|
promoter regions, genetic |
1 |
|
promoter regions, genetic - genetics |
1 |
|
propensity |
1 |
|
prostaglandin f2α receptor |
1 |
|
protein binding |
1 |
|
protein conformation |
1 |
|
protein structure, secondary |
1 |
|
protein structures |
1 |
|
proteins - analysis - chemistry |
1 |
|
proteins - chemistry |
1 |
|
proteins - chemistry - metabolism |
1 |
|
proteomics - methods |
1 |
|
proto-oncogene proteins - genetics - metabolism |
1 |
|
proto-oncogene proteins c-bcl-6 - genetics - metabolism |
1 |
|
proximal tubules |
1 |
|
rare snvs |
1 |
|
rbp binding preference |
1 |
|
rearrangement |
1 |
|
receptor, fibroblast growth factor, type 2 - genetics |
1 |
|
rectal cancer |
1 |
|
recurrent focal segmental glomerulosclerosis |
1 |
|
regulatory elements, transcriptional - genetics |
1 |
|
regulatory trios |
1 |
|
remodeling |
1 |
|
renal fibrosis |
1 |
|
renal transplantation |
1 |
|
reproducibility |
1 |
|
research design |
1 |
|
rhodopseudomonas - metabolism |
1 |
|
risk factors |
1 |
|
rna - genetics |
1 |
|
rna polymerase i |
1 |
|
rna polymerase ii |
1 |
|
rna sequence |
1 |
|
rna, ribosomal - genetics |
1 |
|
rna–protein interactions |
1 |
|
secondary structure |
1 |
|
self-supervised learning |
1 |
|
sequence alignment |
1 |
|
sequence alignment - methods |
1 |
|
sequence analysis, dna |
1 |
|
sequence analysis, dna - methods |
1 |
|
sequence analysis, protein |
1 |
|
sequence analysis, protein - methods |
1 |
|
sequence homology, amino acid |
1 |
|
sequence homology, nucleic acid |
1 |
|
sequence modeling |
1 |
|
sequence pattern |
1 |
|
sessile serrated adenoma |
1 |
|
sex-based disparity |
1 |
|
signal transduction - genetics |
1 |
|
signaling pathway |
1 |
|
single nucleotide |
1 |
|
single nucleotide variation |
1 |
|
single-cell genomics |
1 |
|
snp |
1 |
|
statistical analysis |
1 |
|
structural genomics |
1 |
|
sumo-interacting motif |
1 |
|
survival analysis |
1 |
|
target enrichment |
1 |
|
tf-snv interaction |
1 |
|
tissue-specific eqtls |
1 |
|
trans-activators - genetics - metabolism |
1 |
|
transcription |
1 |
|
transcription factor binding site (tfbs) |
1 |
|
transcription factors - genetics |
1 |
|
transcription factors - genetics - physiology |
1 |
|
transcription factors - metabolism |
1 |
|
transcription, genetic - genetics |
1 |
|
transcriptional target |
1 |
|
transcriptome |
1 |
|
transfer learning |
1 |
|
twist1 |
1 |
|
web server |
1 |
|
whole genome sequencing |
1 |
|
whole-genome analysis |
1 |
|
yy1 |
1 |
|
zinc fingers |
1 |
|
α-helix |
1 |
