|
5
|
|
Interpretable distillation reveals that deep learning splicing models suffer from pervasive confounders and blind spots.
(link.springer.com)
|
Liu S
…
Regev O
Genome Biology
2026-08-21
|
#splicing
#deep learning
#interpretability
#rna structure
#gene regulation
|
|
3
|
|
Outputs of generative diffusion models are often unattributable.
(nature.com)
|
Dai Z
…
Gifford DK
Nature Communications
2026-08-18
|
#diffusion
#generative
#attribution
#interpretability
|
|
0
|
|
Explainable AI: learning from the learners.
(nature.com)
|
Vinuesa R
…
Mengaldo G
Nature Communications
2026-08-06
|
#interpretability
#machine learning
#causality
|
|
0
|
|
Auditable unit-aware thresholds in symbolic regression via logistic-gated operators.
(linkinghub.elsevier.com)
|
Deng O
…
Jin Q
iScience
2026-08-06
|
#symbolic-regression
#interpretability
#clinical decision-making
#machine learning
#risk stratification
|
|
0
|
|
Knowledge-guided learning with curated prior genetic biomarkers for robust model interpretation.
(academic.oup.com)
|
Baek B
…
Kang M
Bioinformatics
2026-08-01
|
#biomarker
#machine learning
#interpretability
#neural-networks
|
|
0
|
|
A linear interpretable model for drug target prediction.
(academic.oup.com)
|
Noto S
…
Paccanaro A
Bioinformatics
2026-08-01
|
#drug target
#prediction
#interpretability
#machine learning
|
|
0
|
|
Chiron3D: an interpretable deep learning framework for understanding the DNA code of chromatin looping.
(academic.oup.com)
|
Honig S
…
Boeva V
Bioinformatics
2026-08-01
|
#chromatin
#deep learning
#gene regulation
#sequence prediction
#interpretability
|
|
0
|
|
BaGGLS: a Bayesian shrinkage framework for interpretable modeling of interactions in high-dimensional biological data.
(academic.oup.com)
|
Lemanczyk MS
…
Renard BY
Bioinformatics
2026-08-01
|
#bayesian
#feature selection
#interpretability
#regression
#motif
|