|
0
|
|
DeepACPred: an integrated multistage framework for anticancer peptide discovery and activity prediction.
(academic.oup.com)
|
Zhang B
…
Jia L
Briefings in Bioinformatics
2026-07-03
|
#cancer
#peptide
#machine learning
#drug discovery
#prediction
|
|
0
|
|
DeSpaST: deconvoluting spatial transcriptomics signals to cell-level resolution using histology images.
(academic.oup.com)
|
Zhou Q
…
Xie Y
Briefings in Bioinformatics
2026-07-03
|
#transcriptomics
#deconvolution
#histology
#cancer
|
|
0
|
|
Exploring per-base quality scores as a surrogate marker of cell-free DNA fragmentome.
(academic.oup.com)
|
Volkov H
…
Shomron N
Briefings in Bioinformatics
2026-07-03
|
#cancer
#sequencing
#fragmentomics
#cfdna
#classification
|
|
0
|
|
miRSiC: a regulatory-aware machine learning framework for microRNA expression inference across bulk and single-cell transcriptomes.
(academic.oup.com)
|
Chen GT
…
Lee TY
Briefings in Bioinformatics
2026-07-03
|
#transcriptomics
#microrna
#cancer
#machine learning
#gene regulation
|
|
0
|
|
Structural insights into the binding of CX-5461 and MTR-106 to G-quadruplex DNA.
(academic.oup.com)
|
Li Y
…
Cao C
Nucleic Acids Research
2026-07-03
|
#g-quadruplex
#nmr
#drug design
#structural biology
#cancer
|
|
0
|
|
MRDsteer: quality-aware AI-driven closed-loop optimization enhances ctDNA-based minimal residual disease detection.
(academic.oup.com)
|
Wang T
…
Wang J
Briefings in Bioinformatics
2026-07-03
|
#ctdna
#mrd
#cancer
#algorithm
#sequencing
|
|
0
|
|
SOPA and SIMPA: normalized single-sample integrated multiomics pathway analysis of tumor heterogeneity in solid cancers.
(academic.oup.com)
|
Alsharoh H
…
Bender A
Briefings in Bioinformatics
2026-07-03
|
#cancer
#pathway
#multi-omics
#heterogeneity
#transcriptomics
|
|
0
|
|
Generalizable AI predicts immunotherapy outcomes across cancers and treatments.
(nature.com)
|
Shen W
…
Zitnik M
Nature Medicine
2026-07-03
|
#transcriptomics
#cancer
#immunotherapy
#machine learning
#biomarker
|
|
0
|
|
FerroScore: a statistical approach for quantifying tumor-related ferroptosis based on omics data.
(academic.oup.com)
|
Teng J
…
Zhou T
Briefings in Bioinformatics
2026-07-03
|
#ferroptosis
#transcriptomics
#cancer
#immunology
#biomarker
|
|
0
|
|
Multi-modal data integration reveals functionally credible predictive biomarkers in ovarian cancer.
(link.springer.com)
|
Muranen TA
…
Hynninen J
Genome Medicine
2026-07-03
|
#transcriptomics
#cancer
#biomarker
#sequencing
#precision medicine
|
|
0
|
|
UDEC-MO: an uncertainty-guided deep embedded clustering framework for bulk and single-cell multi-omics data.
(academic.oup.com)
|
Li J
…
Tang J
Briefings in Bioinformatics
2026-07-03
|
#multi-omics
#clustering
#single-cell
#deep learning
#cancer
|
|
0
|
|
RLASON-CDR: a reinforcement learning-driven adaptive synergistic optimization network for cancer drug response prediction.
(academic.oup.com)
|
Teng Z
…
Wang G
Briefings in Bioinformatics
2026-07-03
|
#machine learning
#drug response
#pharmacogenomics
#cancer
#precision medicine
|
|
0
|
|
Variational sparse Gaussian-process method for detecting spatially variable genes and cellular interactions in spatial transcriptomics.
(academic.oup.com)
|
Wang Z
…
Hu J
Briefings in Bioinformatics
2026-07-03
|
#transcriptomics
#gene expression
#cell-communication
#cancer
|
|
0
|
|
PLNFGL: Joint Estimation of Multi-Condition Gene Networks from Single-cell RNA-seq Data.
(academic.oup.com)
|
Zhai W
…
Ji J
Bioinformatics
2026-07-03
|
#transcriptomics
#single-cell
#networks
#cancer
#neurodegeneration
|