Results 101 to 110 of about 1,470,732 (345)

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Research on grammatical error correction algorithm in English translation via deep learning

Journal of Intelligent Systems
This study provides a concise overview of a grammatical error correction algorithm that is based on an encoder-decoder machine translation structure.
Cai Lihua
doaj   +1 more source

Retracted: Design of Chinese Grammar Recognition and Error Correction Model Based on the Deep Neural Network. [PDF]

J Environ Public Health, 2023
Environmental And Public Health JO.
europepmc   +1 more source

Testing the Market Integration in Regional Cantaloupe and Melon Markets between the U.S. and Mexico: An Application of Error Correction Model [PDF]

Examine the integration between U.S. and Mexican cantaloupe and watermelon prices using cointegration and error correction model approach. Cointegration analysis shows significant post-2002 improvement in market integration, particularly in the speed at ...
Rosson, C. Parr, III, Susanto, Dwi, Xia, Yan   +2 more
core   +1 more source

PREMIER - PRobabilistic Error-correction using Markov Inference in Errored Reads [PDF]

, 2013
In this work we present a flexible, probabilistic and reference-free method of error correction for high throughput DNA sequencing data. The key is to exploit the high coverage of sequencing data and model short sequence outputs as independent ...
Dorman, Karin, Ramamoorthy, Aditya, Ramamoorthy, Aditya, Song, Zhao, Yin, Xin   +4 more
core   +3 more sources

Decoherence by Correlated Noise and Quantum Error Correction

, 2005
We study the decoherence of a quantum computer in an environment which is inherently correlated in time and space. We first derive the nonunitary time evolution of the computer and environment in the presence of a stabilizer error correction code ...
A. Steane, E. Novais, G. M. Palma, Harold U. Baranger, M. A. Nielsen, P. Aliferis, P. Di Francesco   +6 more
core   +1 more source

Thrombolytic proteins profiling: High‐throughput activity, selectivity, and resistance assays

FEBS Open Bio, EarlyView.
We present optimized biochemical protocols for evaluating thrombolytic proteins, enabling rapid and robust screening of enzymatic activity, inhibition resistance, and fibrin affinity, stimulation, and selectivity. The outcome translates to key clinical indicators such as biological half‐life and bleeding risk. These assays streamline the development of
Martin Toul, Alan Strunga, Jiri Damborsky, Zbynek Prokop   +3 more
wiley   +1 more source

A Neural Learning Approach for a Data-Driven Nonlinear Error Correction Model. [PDF]

Comput Intell Neurosci, 2023
Fang X, Yang N.
europepmc   +1 more source

Fundamental thresholds of realistic quantum error correction circuits from classical spin models [PDF]

, 2021
Davide Vodola, Manuel Rispler, Markus Müller, Seyong Kim   +3 more
openalex   +1 more source

ATG4B is required for mTORC1‐mediated anabolic activity and is associated with clinical outcomes in non‐small cell lung cancer

FEBS Open Bio, EarlyView.
The relationship between anabolic and catabolic processes governing lung cancer cell growth is nuanced. We show that ATG4B, an autophagy regulator, is elevated in lung cancer and that high ATG4B is associated with worse patient outcomes. Targeting ATG4B in cells reduces growth, protein synthesis, and mTORC1 activity, demonstrating a new relationship ...
Patrick J. Ryan, Bethany C. Guerra, Selina Uranga, Jessica M. Cardin, Steven E. Riechman, Mariana Janini Gomes, James D. Fluckey   +6 more
wiley   +1 more source