|
0
|
|
MDCDR: predicting cancer drug response via multimodal feature fusion and feature disentanglement.
(academic.oup.com)
|
Zhang J
…
Shen X
Briefings in Bioinformatics
2026-05-04
|
#modeling
#cancer
#machine learning
#personalized medicine
#drug response
|
|
0
|
|
From association to causation: a decision-aware framework for reproducible biomarker discovery and precision intervention design in the human gut microbiome.
(academic.oup.com)
|
Ascandari A
…
Rachid D
Briefings in Bioinformatics
2026-05-04
|
#microbiome
#metagenomics
#cancer
#biomarker
#causal inference
|
|
0
|
|
Foundation models and deep learning for cancer drug response prediction: a framework for data, metrics, and validation.
(academic.oup.com)
|
Sada Del Real K
…
Rubio A
Briefings in Bioinformatics
2026-05-04
|
#modeling
#cancer
#machine learning
#drug response
#omics
|
|
0
|
|
Quantum ensembling methods for healthcare and life science.
(academic.oup.com)
|
Rhrissorrakrai K
…
Parida L
Briefings in Bioinformatics
2026-05-04
|
#modeling
#cancer
#immunotherapy
#classification
|
|
0
|
|
CSIE: cancer subtyping via inference and ensemble.
(academic.oup.com)
|
Tran D
…
Nguyen T
Briefings in Bioinformatics
2026-05-04
|
#cancer
#multi-omics
#clustering
#classification
#inference
|
|
0
|
|
CanLRHI: a multimodal pretraining model for cell death analysis in cancer pathology based on long-text representation and high-resolution images.
(academic.oup.com)
|
Zhang T
…
Ma J
Briefings in Bioinformatics
2026-05-04
|
#modeling
#cancer
#apoptosis
#pathology
|
|
0
|
|
MIFNDRA: an innovative knowledge-enhanced multimodal fusion and graph learning framework for predicting drug resistance-related ncRNAs.
(academic.oup.com)
|
Sui J
…
Guo J
Briefings in Bioinformatics
2026-05-04
|
#amr
#cancer
#prediction
#machine learning
#ncrna
|
|
0
|
|
Gut microbiota and diet in colorectal cancer: Converging determinants of carcinogenesis.
(tandfonline.com)
|
Thakur BK
…
Martin A
Gut Microbes
2026-05-04
|
#microbiome
#metabolism
#virulence
#cancer
#inflammation
|
|
0
|
|
Benchmarking computational methods for multi-omics biomarker discovery in cancer.
(academic.oup.com)
|
Li AZ
…
Liu R
Briefings in Bioinformatics
2026-05-04
|
#cancer
#machine learning
#multi-omics
#biomarker
#prognosis
|
|
0
|
|
Gene set analysis for time-to-event outcome: comparison of a new approach based on the generalized Berk-Jones statistic with existing methods in presence of intra gene-set correlation.
(academic.oup.com)
|
Ferte T
…
Hejblum BP
Briefings in Bioinformatics
2026-05-04
|
#cancer
#correlation
#survival
#statistical
|
|
0
|
|
Carcinogenicity prediction via multi-task learning of cross-organ representations with attention mechanisms.
(academic.oup.com)
|
Song Y
…
Yoo S
Briefings in Bioinformatics
2026-05-04
|
#modeling
#cancer
#prediction
#carcinogenicity
|
|
0
|
|
MLN2SVG: domain-aware spatially variable gene detection using contrastive variational autoencoder and multi-level neighbor search.
(academic.oup.com)
|
Hussain S
…
Liu X
Briefings in Bioinformatics
2026-05-04
|
#transcriptomics
#cancer
#clustering
|
|
0
|
|
ST2HE: enhancing spatial transcriptomics interpretability via virtual staining for histological annotation.
(academic.oup.com)
|
Liu Z
…
Huang Y
Briefings in Bioinformatics
2026-05-04
|
#imaging
#transcriptomics
#cancer
#pathology
#histology
|
|
0
|
|
Inferring tumor absolute copy number and clonal substructure from single-cell chromatin accessibility.
(academic.oup.com)
|
Wang Y
…
Zhang S
Briefings in Bioinformatics
2026-05-04
|
#chromatin
#cancer
#single-cell
#clonal evolution
#copy_number_variation
|
|
0
|
|
Identification and characterization of lncRNA-stemness-immune regulatory patterns.
(academic.oup.com)
|
Qian Z
…
Zhao Y
Briefings in Bioinformatics
2026-05-04
|
#modeling
#immunity
#cancer
#ncrna
#stemness
|
|
0
|
|
MT-ConBiFormer-GPT: multi-target molecular generation for low-data drug discovery via a contrastive BiFormer-GPT architecture and curriculum learning with cross-domain generalization.
(academic.oup.com)
|
Norouzi R
…
Gharaghani S
Briefings in Bioinformatics
2026-05-04
|
#cancer
#deep learning
#drug discovery
#molecular_generation
#polypharmacology
|
|
0
|
|
STORM: spatial transcriptomics optimization by resolution via matrix factorization.
(academic.oup.com)
|
Gurarslan D
…
Kahveci T
Briefings in Bioinformatics
2026-05-04
|
#modeling
#transcriptomics
#cancer
|
|
0
|
|
Machine learning-guided multimodal profiling defines perturbed immune states at the time of cancer diagnosis.
(academic.oup.com)
|
Berlin P
…
Maletzki C
Briefings in Bioinformatics
2026-05-04
|
#modeling
#immunity
#transcriptomics
#cancer
#inflammation
|
|
0
|
|
CEDR: robust consensus cancer subtyping with multi-omics data via ensemble dimensionality reduction.
(academic.oup.com)
|
Cao H
…
Cui Y
Briefings in Bioinformatics
2026-05-04
|
#modeling
#cancer
#multi-omics
#clustering
#dimensionality reduction
|
|
0
|
|
ssNetShift: single-sample metabolic network rewiring reveals hidden prognostic subtypes beyond clinical staging in gastric cancer.
(academic.oup.com)
|
Lin G
…
Raftery D
Briefings in Bioinformatics
2026-05-04
|
#modeling
#metabolism
#cancer
#biomarker
#heterogeneity
|
|
0
|
|
gSV: a general structural variant detector using the third-generation sequencing data.
(academic.oup.com)
|
Hao J
…
Yu W
Briefings in Bioinformatics
2026-05-04
|
#genomics
#cancer
#assembly
#sequencing
|
|
0
|
|
APAdeg enhances differentially expressed gene inference by leveraging site-specific signals in APA-seq data.
(academic.oup.com)
|
Sarker B
…
Xu C
Briefings in Bioinformatics
2026-05-04
|
#transcriptomics
#cancer
#sequencing
#polyadenylation
|
|
0
|
|
scTumorDrug: predicting cell-type-specific drug responses for heterogeneous tumors.
(academic.oup.com)
|
Zhang Q
…
Peng C
Briefings in Bioinformatics
2026-05-04
|
#transcriptomics
#cancer
#pharmacogenomics
#precision medicine
#heterogeneity
|
|
0
|
|
Navigating cell maps by deep learning integration of single-cell and spatially resolved transcriptomics.
(academic.oup.com)
|
Chen Y
Briefings in Bioinformatics
2026-05-04
|
#transcriptomics
#single-cell
#spatial-biology
#deep learning
#cancer
|