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0
|
|
Intake of food additive preservatives and incidence of cancer: results from the NutriNet-Sante prospective cohort.
(bmj.com)
|
Hasenbohler A
…
Touvier M
BMJ
2026-01-07
|
#cancer
#epidemiology
#cohort
#nutrition
#carcinogenesis
|
|
0
|
|
MPHGNN: metapath-guided heterogeneous graph neural network for miRNA-drug resistance association prediction.
(academic.oup.com)
|
Huang G
…
Liu S
Briefings in Bioinformatics
2026-01-07
|
#modeling
#amr
#cancer
#microrna
|
|
0
|
|
CNAttention: an attention-based deep multiple-instance method for uncovering copy number aberration signatures across cancers.
(academic.oup.com)
|
Yang Z
…
Baudis M
Briefings in Bioinformatics
2026-01-07
|
#modeling
#cancer
#machine learning
#classification
#copy_number_variation
|
|
0
|
|
Artificial intelligence in mitotic checkpoint modeling: transforming our understanding of cellular division through machine learning and predictive biology.
(academic.oup.com)
|
Ibrahim B
Briefings in Bioinformatics
2026-01-07
|
#modeling
#cancer
#machine learning
#cell-division
|
|
0
|
|
Emerging insights into enhancer RNAs: biogenesis, function, mechanism, and disease implication.
(academic.oup.com)
|
Qiu M
…
Liao Q
Briefings in Bioinformatics
2026-01-07
|
#transcriptomics
#cancer
#gene regulation
#ncrna
#therapeutic target
|
|
0
|
|
Revealing shared molecular markers and mechanisms in colorectal cancer and COVID-19 through bioinformatics and machine learning.
(academic.oup.com)
|
Wang H
…
Zhao L
Briefings in Bioinformatics
2026-01-07
|
#infection
#immunity
#transcriptomics
#cancer
#machine learning
|
|
0
|
|
GFSeeker: a splicing-graph-based approach for accurate gene fusion detection from long-read RNA sequencing data.
(academic.oup.com)
|
Wang B
…
Jiang T
Briefings in Bioinformatics
2026-01-07
|
#modeling
#transcriptomics
#cancer
#sequencing
#fusion
|
|
0
|
|
Identification of cancer mini-drivers by deciphering selective landscape in the cancer genome.
(academic.oup.com)
|
Zhu X
…
Gu X
Briefings in Bioinformatics
2026-01-07
|
#modeling
#cancer
#evolution
#selection
#heterogeneity
|
|
0
|
|
A de novo assembly based fusion gene detection concept based on DNA-seq data of 100 Ewing sarcoma cases.
(academic.oup.com)
|
Zhao X
…
Korsching E
Briefings in Bioinformatics
2026-01-07
|
#cancer
#assembly
#sequencing
#fusion
|
|
0
|
|
BiChemoCLAM: a weakly supervised multimodal framework for chemotherapy response prediction.
(academic.oup.com)
|
Gui J
…
Su R
Briefings in Bioinformatics
2026-01-07
|
#modeling
#cancer
#chemotherapy
#multimodal
|
|
0
|
|
Human messenger RNA harbors widespread noncoding splice isoforms.
(academic.oup.com)
|
Shi Q
…
He X
Briefings in Bioinformatics
2026-01-07
|
#transcriptomics
#cancer
#splicing
#ncrna
#isoforms
|
|
0
|
|
GRAFT: a graph-aware fusion transformer for cancer driver gene prediction.
(academic.oup.com)
|
Cho SP
…
Cho YR
Briefings in Bioinformatics
2026-01-07
|
#modeling
#cancer
#machine learning
#network
|
|
0
|
|
MoAGNN: a multi-omics hierarchical graph neural network for subtype classification and prognosis prediction in lung adenocarcinoma.
(academic.oup.com)
|
Lin CP
…
Lee TY
Briefings in Bioinformatics
2026-01-07
|
#modeling
#transcriptomics
#cancer
#multi-omics
#prognosis
|
|
0
|
|
SHEST: single-cell-level artificial intelligence from haematoxylin and eosin morphology for cell-type prediction and spatial transcriptomics reconstruction.
(academic.oup.com)
|
Jeong H
…
Choi YL
Briefings in Bioinformatics
2026-01-07
|
#transcriptomics
#cancer
#clustering
#morphology
|
|
0
|
|
Signal-based spatial domain identification of spatially resolved transcriptomics with multigraph fusion.
(academic.oup.com)
|
Ma Y
…
Ma X
Briefings in Bioinformatics
2026-01-07
|
#transcriptomics
#cancer
#clustering
|