|
0
|
|
Circulating DNA reveals nucleosome occupancy patterns that are associated with nucleosome-DNA affinity and are affected in cancer.
(link.springer.com)
|
Richaud M
…
Colinge J
Genome Medicine
2026-06-13
|
#cancer
#fragmentomics
#biomarker
#machine learning
#chromatin
|
|
0
|
|
SPPIDER-seq: Sequence-based Partner-aware Predictor of Protein-Protein Interaction Sites.
(academic.oup.com)
|
Porollo A
…
Chen J
Bioinformatics
2026-06-13
|
#protein-protein interaction
#prediction
#machine learning
#binding
#sequence
|
|
0
|
|
A survey of models composed of Graph Neural Networks and Large Language Models for Molecular Science.
(academic.oup.com)
|
Segura-Alabart N
…
Serratosa F
Bioinformatics
2026-06-15
|
#modeling
#molecular
#machine learning
#neural network
|
|
0
|
|
EAGP: an efficient generative augmentation framework for phage protein classification under severe class imbalance.
(academic.oup.com)
|
Li J
…
Zhu H
Bioinformatics
2026-06-15
|
#classification
#proteomics
#machine learning
#imbalance
#phage
|
|
0
|
|
DrugDL: Dual-modal deep learning framework for multi-property drug prediction and targeted therapy discovery.
(academic.oup.com)
|
Zhang Q
…
Yu DJ
Bioinformatics
2026-06-15
|
#protein-protein interaction
#drug discovery
#machine learning
#molecular modeling
#toxicity
|
|
0
|
|
Artificial intelligence-driven integration of multi-biofluid omics and clinical phenotype enables stratification of endometrial cancer.
(linkinghub.elsevier.com)
|
Li D
…
Qiao L
Cell Reports Medicine
2026-06-16
|
#proteomics
#machine learning
#cancer
#biomarker
#stratification
|
|
0
|
|
Integrating speech biomarkers and large language models for adolescent suicide risk detection with mobile application for real-world evaluation.
(linkinghub.elsevier.com)
|
Lei C
…
Chen R
Cell Reports Medicine
2026-06-16
|
#biomarker
#suicide
#machine learning
#adolescent
#mental health
|
|
0
|
|
Identification of host gene transcripts by machine learning and their application to predict outcome in Ebola virus disease.
(academic.oup.com)
|
Perez JG
…
Hiscox JA
Journal of Infectious Diseases
2026-06-17
|
#transcriptomics
#machine learning
#infection
#immunity
#prognosis
|
|
0
|
|
Dango: Predicting higher-order genetic interactions.
(linkinghub.elsevier.com)
|
Zhang R
…
Ma J
Cell Systems
2026-06-17
|
#modeling
#genetic interactions
#machine learning
#phenotype
|
|
0
|
|
GMHAN: A Heterogeneous Graph Attention Framework for Prioritizing Coding and Non-coding Driver Genes.
(academic.oup.com)
|
Meng P
…
Wang G
Bioinformatics
2026-06-18
|
#driver genes
#cancer
#network analysis
#machine learning
#oncogenesis
|
|
0
|
|
VariantMedium: sensitive and generalizable somatic point mutation calling with 3D DenseNets trained and evaluated on experimental data.
(link.springer.com)
|
Muslu O
…
Sahin U
Genome Medicine
2026-06-19
|
#variant calling
#machine learning
#cancer
#sequencing
#somatic mutation
|
|
0
|
|
Protein-Nucleic Acid Binding Site Prediction Using Interpretable Kolmogorov-Arnold Networks with Hypergraph Representation Learning.
(academic.oup.com)
|
Zhu Y
…
Pan X
Bioinformatics
2026-06-20
|
#binding
#protein
#prediction
#modeling
#machine learning
|
|
0
|
|
Exploring the genetic landscape of ciprofloxacin-induced DNA supercompaction in Escherichia coli.
(academic.oup.com)
|
Vikedal K
…
Booth JA
Nucleic Acids Research
2026-06-22
|
#dna repair
#screening
#amr
#sos response
#machine learning
|
|
0
|
|
Caveat emptor: predicting and modeling protein-DNA recognition and binding via machine-learning computational approaches.
(academic.oup.com)
|
Esler MA
…
Stoddard BL
Nucleic Acids Research
2026-06-22
|
#protein-dna
#machine learning
#structural prediction
#computational modeling
#molecular docking
|
|
0
|
|
Reference-informed spatial domain detection using weak supervision for spatial transcriptomics.
(genome.cshlp.org)
|
Ma X
…
Chen L
Genome Research
2026-06-22
|
#transcriptomics
#segmentation
#clustering
#machine learning
|
|
0
|
|
Tumor-naive ctDNA detection with deep learning-enhanced error suppression for sensitive mutation calling.
(link.springer.com)
|
Akbarinejad S
…
Weber D
Genome Medicine
2026-06-23
|
#sequencing
#cancer
#machine learning
#mutation-calling
|
|
0
|
|
High-throughput machine learning-aided antibody discovery for cell surface antigens.
(linkinghub.elsevier.com)
|
Kothiwal D
…
Meijers R
Cell Systems
2026-06-23
|
#antibody
#machine learning
#yeast-display
#immunotherapy
#sequencing
|
|
0
|
|
FFixR: A Machine Learning Framework for Accurate Somatic Mutation Calling from FFPE RNA-Seq Data in Cancer.
(academic.oup.com)
|
Livne O
…
Yizhak K
Bioinformatics
2026-06-24
|
#transcriptomics
#cancer
#mutation
#machine learning
#sequencing
|
|
0
|
|
MLMarker: a machine learning framework for tissue inference and biomarker discovery.
(link.springer.com)
|
Claeys T
…
Martens L
Genome Biology
2026-06-24
|
#proteomics
#biomarker
#cancer
#machine learning
|
|
0
|
|
Prevalence aware feature selection improves biomarker identification in microbiome studies.
(academic.oup.com)
|
Yang R
…
Ke S
Bioinformatics
2026-06-24
|
#microbiome
#biomarker
#machine learning
#cancer
|