|
9
|
|
MassNet: billion-scale AI-ready mass spectral corpus empowering scalable deep learning in proteomics.
(nature.com)
|
A J
…
Guo T
Nature Methods
2026-10-14
|
#proteomics
#mass spectrometry
#deep learning
#machine learning
#peptide-sequencing
|
|
5
|
|
Deep learning reveals ecological decoupling and rate heterogeneity in Hymenoptera wing evolution.
(science.org)
|
Peng A
…
Legendre F
Science Advances
2026-10-14
|
#evolution
#morphometrics
#deep learning
#phylogenetics
#phenotyping
|
|
5
|
|
Motion-corrected Noise2Noise denoising for structural analysis of cells and tissues with (cryo-)FIB/SEM.
(academic.oup.com)
|
Gonzalez-Ruiz V
…
Fernandez JJ
Bioinformatics
2026-10-16
|
#microscopy
#denoising
#image processing
#ultrastructure
#deep learning
|
|
5
|
|
Deepweed: Automated Individual Segmentation and Tracking for Duckweed Lineage Analysis.
(academic.oup.com)
|
Oyeniran T
…
Oliveira SMD
Bioinformatics
2026-10-16
|
#deep learning
#segmentation
#image analysis
#phenotyping
#tracking
|
|
4
|
|
Deep learning uncovers hidden power of low-affinity motifs.
(linkinghub.elsevier.com)
|
Bower G
…
Kvon EZ
Cell Genomics
2026-10-14
|
#transcription
#chromatin
#deep learning
#binding sites
|
|
4
|
|
An inverse-protein-folding pre-trained model for predicting the mutational effects in protein-protein interactions.
(linkinghub.elsevier.com)
|
Mao S
…
Xiang Y
iScience
2026-10-16
|
#mutation
#folding
#deep learning
#affinity
#protein design
|
|
3
|
|
Time-lapse RESOLFT nanoscopy empowered by deep learning.
(nature.com)
|
Minet G
…
Testa I
Nature Communications
2026-10-11
|
#microscopy
#nanoscopy
#deep learning
#fluorescence
|
|
3
|
|
Quantifying the impact of genetic mutations on enhancer dynamics.
(linkinghub.elsevier.com)
|
Das M
…
Girirajan S
Cell Reports
2026-10-13
|
#enhancer
#transcriptomics
#crispr
#gene regulation
#deep learning
|
|
2
|
|
Multidimensional vulnerabilities of informal settlements in the Urban South.
(pnas.org)
|
Chen M
…
Bai X
PNAS
2026-10-12
|
#urbanization
#vulnerability
#deep learning
#remote_sensing
#infrastructure
|
|
2
|
|
CryoTriplane: Triplane-based Neural Radiance Field Representation for High-resolution Cryo-EM 3D Homogeneous Reconstruction.
(academic.oup.com)
|
Cheng Y
…
Han R
Bioinformatics
2026-10-13
|
#cryo-em
#reconstruction
#deep learning
#proteins
|
|
2
|
|
MEGH-DDI: MolT5-driven edge-aware graph learning with Hop2Token representation for drug-drug interaction prediction.
(journals.plos.org)
|
Zhou L
…
Deng Z
PLOS Computational Biology
2026-10-14
|
#drug-interactions
#molecular representation
#deep learning
#graph learning
#pharmacology
|
|
2
|
|
Tangermeme: a toolkit for understanding cis-regulatory logic using deep learning models.
(nature.com)
|
Schreiber J
Nature Methods
2026-10-08
|
#deep learning
#cis-regulation
#interpretability
#genomics
|
|
1
|
|
An open vision-language model for diverse medical applications.
(nature.com)
|
Sellergren A
…
Yang L
Nature Medicine
2026-10-06
|
#medical imaging
#vision-language
#foundation-models
#deep learning
|
|
1
|
|
Accurate and well-powered case-control analysis of spatial molecular data.
(nature.com)
|
Reshef YA
…
Raychaudhuri S
Nature Methods
2026-10-06
|
#spatial-transcriptomics
#case-control
#deep learning
#biomarker
|
|
1
|
|
Physics-informed single-frame end-to-end learning for denoising and background removal in fluorescence imaging.
(pnas.org)
|
You X
…
Zhang D
PNAS
2026-10-08
|
#microscopy
#fluorescence
#denoising
#deep learning
#image-reconstruction
|
|
0
|
|
Large-scale prospective evaluation of co-folding across hundreds of Mac1-ligand complexes and three virtual screens.
(elifesciences.org)
|
Kim J
…
Fraser JS
eLife
2026-10-12
|
#drug discovery
#structure prediction
#deep learning
#affinity
#docking
|
|
0
|
|
ProDTI: Prior-Guided Positive-Unlabeled Learning for Robust Drug-Target Interaction Prediction.
(academic.oup.com)
|
Wang Y
…
Li Y
Bioinformatics
2026-10-07
|
#machine learning
#drug discovery
#deep learning
#protein-protein interaction
#computational biology
|
|
0
|
|
DeepSAP: An Integrated Generative and Predictive Deep-Learning Framework for Controllable Design of Self-Assembling Peptides.
(academic.oup.com)
|
Song Y
…
Deng X
Bioinformatics
2026-10-07
|
#deep learning
#peptide
#self-assembly
#protein design
#generative modeling
|
|
0
|
|
HINN prioritizes multi-omics biomarkers associated with cognitive decline.
(academic.oup.com)
|
Vashishath Y
…
Bozdag S
Bioinformatics
2026-10-07
|
#multi-omics
#biomarker
#cognitive-decline
#transcriptomics
#deep learning
|
|
0
|
|
MediNet: Simplifying Federated and Privacy-Preserving AI Deployment in Healthcare.
(academic.oup.com)
|
Mateo-Navarro R
…
Gonzalez JR
Bioinformatics
2026-10-06
|
#healthcare
#federated learning
#privacy-preserving
#deep learning
|