Results 11 to 20 of about 5,976,633 (297)

Functional domain annotation by structural similarity [PDF]

open access: yesNAR Genom Bioinform, 2023
Traditional automated in silico functional annotation uses tools like Pfam that rely on sequence similarities for domain annotation. However, structural conservation often exceeds sequence conservation, suggesting an untapped potential for improved ...
Poorya Mirzavand Borujeni, R. Salavati
semanticscholar   +2 more sources

Integrated analysis of multimodal single-cell data with structural similarity [PDF]

open access: yesNucleic Acids Res, 2022
Multimodal single-cell sequencing technologies provide unprecedented information on cellular heterogeneity from multiple layers of genomic readouts. However, joint analysis of two modalities without properly handling the noise often leads to overfitting ...
Yingxin Cao   +6 more
semanticscholar   +2 more sources

Improving Measures of Chemical Structural Similarity Using Machine Learning on Chemical–Genetic Interactions [PDF]

open access: yesJ Chem Inf Model, 2021
A common strategy for identifying molecules likely to possess a desired biological activity is to search large databases of compounds for high structural similarity to a query molecule that demonstrates this activity, under the assumption that structural
Hamid Safizadeh   +11 more
semanticscholar   +2 more sources

SAR Image Change Detection via Multiple-Window Processing with Structural Similarity [PDF]

open access: yesSensors (Basel), 2021
In this paper, a synthetic aperture radar (SAR) change detection approach is proposed based on a structural similarity index measure (SSIM) and multiple-window processing (MWP). The proposed scheme is performed in two steps: (1) generation of a coherence
Minseok Kang, Jaemin Baek
semanticscholar   +2 more sources

Objective Numerical Evaluation of Diffuse, Optically Reconstructed Images Using Structural Similarity Index [PDF]

open access: yesBiosensors, 2021
Diffuse optical tomography is emerging as a non-invasive optical modality used to evaluate tissue information by obtaining the optical properties’ distribution.
Vicky Mudeng, Minseok Kim, Se-woon Choe
doaj   +2 more sources

The Similarity of Causal Structure [PDF]

open access: yesPhilosophy of Science, 2019
Whether y obtains under the counterfactual supposition that x is thought to depend on whether y obtains in the most similar world(s) in which x obtains. Graphical causal models have proved useful in developing a principled notion of similarity between worlds, but this notion is limited insofar as it does not apply to counterfactual suppositions about ...
Eva, Benjamin   +2 more
openaire   +2 more sources

Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders [PDF]

open access: yesVISIGRAPP, 2018
Convolutional autoencoders have emerged as popular methods for unsupervised defect segmentation on image data. Most commonly, this task is performed by thresholding a pixel-wise reconstruction error based on an $\ell^p$ distance. This procedure, however,
Paul Bergmann   +4 more
semanticscholar   +1 more source

Structural similarity and distance in learning [PDF]

open access: yes2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2011
Based on work presented at Allerton ...
Joseph Wang 0001   +2 more
openaire   +2 more sources

Structures of distantly related interacting protein homologs are less divergent than non‐interacting homologs

open access: yesFEBS Open Bio, 2022
Homologous proteins can display high structural variation due to evolutionary divergence at low sequence identity. This classical inverse relationship between sequence identity and structural similarity, established many years ago, has remained true ...
Nagarajan Naveenkumar   +4 more
doaj   +1 more source

Underwater Image Enhancement Based on UNDERWATER-CUT Model

open access: yes水下无人系统学报, 2022
A weakly supervised underwater image enhancement algorithm based on the UNDERWATER-CUT model was proposed to address color distortion and contrast imbalance in underwater images.
Peng YAO, Yu-hui LIU
doaj   +1 more source

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