Results 101 to 110 of about 258,677 (299)

Clustering of classical swine fever virus isolates by codon pair bias

open access: yesBMC Research Notes, 2011
Background The genetic code consists of non-random usage of synonymous codons for the same amino acids, termed codon bias or codon usage. Codon juxtaposition is also non-random, referred to as codon context bias or codon pair bias.
Leifer Immanuel   +4 more
doaj   +1 more source

When Molecular GAN Meets Byte-Pair Encoding

open access: yes
Deep generative models, such as generative adversarial networks (GANs), are pivotal in discovering novel drug-like candidates via de novo molecular generation. However, traditional character-wise tokenizers often struggle with identifying novel and complex sub-structures in molecular data. In contrast, alternative tokenization methods have demonstrated
Huidong Tang   +2 more
openaire   +2 more sources

Byte Pair Encoding for Efficient Time Series Forecasting

open access: yesCoRR
Existing time series tokenization methods predominantly encode a constant number of samples into individual tokens. This inflexible approach can generate excessive tokens for even simple patterns like extended constant values, resulting in substantial computational overhead.
Leon Götz   +3 more
openaire   +2 more sources

Clinical performance of the urine‐based TERT promoter AbsoluteQ Digital PCR for non‐invasive detection of bladder cancer

open access: yesMolecular Oncology, EarlyView.
A urine‐based digital PCR assay targeting two hotspot TERT promoter variants detected bladder cancer with high sensitivity and no false positives in this case–control cohort. The streamlined AbsoluteQ workflow outperformed Sanger sequencing and supports non‐invasive molecular testing for bladder cancer detection.
Anna Nykel   +12 more
wiley   +1 more source

Structural-Functional Analysis of Cryptic Plasmids in Yersinia pestis Strains from Two Natural Plague Foci of Russia

open access: yesПроблемы особо опасных инфекций, 2015
Identified are the complete nucleotide sequences of two cryptic plasmids - pCKF from the Central-Caucasian high-mountain plague focus and pTP33 - from Tuva mountain plague focus in Russia. It is established that the size of the pCKF is 5.4 kbp, and its G-
E. G. Oglodin   +6 more
doaj   +1 more source

Language Models over Canonical Byte-Pair Encodings

open access: yesCoRR
ICML ...
Tim Vieira   +9 more
openaire   +3 more sources

USP29‐regulated noncanonical stabilization of the hypoxia‐inducible factor‐α in aggressive prostate cancer

open access: yesMolecular Oncology, EarlyView.
We identify USP29 as the only DUB mirroring CA9 expression, a marker of hypoxia and HIF pathway activation associated with PCA aggressiveness. USP29 stabilizes HIF‐1α and HIF‐2α via a noncanonical mechanism that is independent of PHD/pVHL activity yet relies on proteasomal regulation, establishing USP29 as a previously unrecognized regulator of hypoxic
Amelie S Schober   +16 more
wiley   +1 more source

Mutations in genes encoding the cadherin receptor-ligand pair DCHS1 and FAT4 disrupt cerebral cortical development

open access: yes, 2013
The regulated proliferation and differentiation of neural stem cells before the generation and migration of neurons in the cerebral cortex are central aspects of mammalian development.
Thomas, J.   +33 more
core   +1 more source

Longitudinal genome‐wide aneuploidy measurements in circulating cell‐free DNA to predict lack of benefit from pembrolizumab in patients with metastatic urothelial cancer

open access: yesMolecular Oncology, EarlyView.
Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi   +14 more
wiley   +1 more source

Hierarchical Transfer Learning Architecture for Low-Resource Neural Machine Translation

open access: yesIEEE Access, 2019
Neural Machine Translation(NMT) has achieved notable results in high-resource languages, but still works poorly on low-resource languages. As times goes on, It is widely recognized that transfer learning methods are effective for low-resource language ...
Gongxu Luo   +4 more
doaj   +1 more source

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