Results 81 to 90 of about 65,539 (306)

An upstream open reading frame regulates expression of the mitochondrial protein Slm35 and mitophagy flux

open access: yesFEBS Letters, EarlyView.
This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva   +5 more
wiley   +1 more source

Scripting technology for generative modeling

open access: yes, 2022
S.308-326In the context of computer graphics, a generative model is the description of a three-dimensional shape: Each class of objects is represented by one algorithm M.
Strobl, Martin   +3 more
core  

JAEGER – Hunting for Antimalarials with Generative Chemistry

open access: yes, 2021
Recent advances in generative modeling allow designing novel compounds through deep neural networks. One such neural network model, the Junction Tree Variational Auto- Encoder (JT-VAE), excels at proposing chemically valid structures. Based on JT-VAE, we
Armand, Guiguemde   +9 more
core   +1 more source

Generative modeling for label-free glomerular modeling and classification. [PDF]

open access: yes, 2020
Generative modeling using GANs has gained traction in machine learning literature, as training does not require labeled datasets. This is perfect for applications in biological datasets, where large labeled datasets are often difficult and expensive to ...
Dong, Wen   +4 more
core   +1 more source

A generative modeling approach to reconstructing 21 cm tomographic data

open access: yesMachine Learning: Science and Technology
Analyses of the cosmic 21 cm signal are hampered by astrophysical foregrounds that are far stronger than the signal itself. These foregrounds, typically confined to a wedge-shaped region in Fourier space, often necessitate the removal of a vast majority ...
Nashwan Sabti   +4 more
doaj   +1 more source

arfpy: A Python Package for Density Estimation and Generative Modeling with Adversarial Random Forests

open access: yesJournal of Open Research Software
This paper introduces arfpy, a python implementation of Adversarial Random Forests, which is a lightweight procedure for synthesizing new data that resembles some given data.
Kristin Blesch, Marvin N. Wright
doaj   +1 more source

Structural instability impairs function of the UDP‐xylose synthase 1 Ile181Asn variant associated with short‐stature genetic syndrome in humans

open access: yesFEBS Letters, EarlyView.
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li   +2 more
wiley   +1 more source

Tensor tree learns hidden relational structures in data to construct generative models

open access: yesMachine Learning: Science and Technology
Based on the tensor tree network with the Born machine framework, we propose a general method for constructing a generative model by expressing the target distribution function as the amplitude of the quantum wave function represented by a tensor tree ...
Kenji Harada   +2 more
doaj   +1 more source

The (Glg)ABCs of cyanobacteria: modelling of glycogen synthesis and functional divergence of glycogen synthases in Synechocystis sp. PCC 6803

open access: yesFEBS Letters, EarlyView.
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee   +3 more
wiley   +1 more source

Agnostic latent diversity enhancement in generative modeling

open access: yes
Generative modeling methods can generate images from textual or visual inputs. However, diversity in the generated images persists as a major challenge of the existing approaches.
Teytaud, Olivier   +5 more
core   +3 more sources

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