Results 151 to 160 of about 19,174 (291)

PlantGFM: A Genomic Foundation Model for Discovery and Creation of Plant Genes

Advanced Science, EarlyView.
A plant genomic foundation model pre‐trained on 12 species enables both accurate gene prediction and de novo gene design. Through AI‐human knowledge screening, seven designed sequences showed transcriptional activity in plants, with two expressing stable proteins—demonstrating the first DNA‐RNA‐protein expression of LLM‐generated genes in plants and ...
Changhao Li, Qizhe Zhang, Hanchen Chen, Kepeng Lin, Chengfang Luo, Mengying Yang, Wei Xu, Fan Yao, Jianbing Yan, Qing‐Yong Yang, Xuehai Hu   +10 more
wiley   +1 more source

1 Burst List Decoding of Interleaved Reed–Solomon Codes [PDF]

, 2014
—It is shown that interleaved Reed–Solomon codes can be list-decoded for burst errors while attaining the generalized Reiger bound for list decoding. A respective decoding algorithm is presented which is (significantly) more efficient than a burst list ...
Tom Kolan, Ron M. Roth
core  

MiR‐940 Suppresses Ferroptosis by Controlling Expression of Key Regulatory Genes

Advanced Science, EarlyView.
A CRISPR‐based screening identified miR‐940 as a critical suppressor of ferroptosis in cancer. By coordinating the downregulation of pro‐ferroptotic genes with the upregulation of GPX4, miR‐940 establishes a regulatory network that protects against ferroptosis and correlates with poor clinical outcomes in distinct cancer entities.
Andrea Kolak, Juliane Tschuck, Stefanie A. I. Weiß, Daniel Kaemena, Karolin Klimm, Ana Galhoz, Larissa Ringelstetter, Myles Fennell, Juliane Merl‐Pham, Anna Artati, Stefanie Strasser, Ralph Garippa, Michael Witting, Hans Zischka, Joel A. Schick, Stefanie M. Hauck, Michael P. Menden, Michelle Vincendeau, Brent R. Stockwell, Kamyar Hadian   +19 more
wiley   +1 more source

PhosSight: A Unified Deep Learning Framework Boosting and Accelerating Phosphoproteome Identification to Enable Biological Discoveries

Advanced Science, EarlyView.
PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang, Zhiyuan Cheng, Chengying She, Hongwei Zhao, Jiahui Zhang, Lin Lv, Zhihao Yan, Hongwen Zhu, Lizhuang Liu, Yan Fu, Xinpei Yi   +10 more
wiley   +1 more source

Polar Code Construction for List Decoding

, 2019
A heuristic construction of polar codes for successive cancellation list (SCL) decoding with a given list size is proposed to balance the trade-off between performance measured in frame error rate (FER) and decoding complexity.
Yuan, P.; Steiner, F.; Prinz, T.; Böcherer, G.; İşcan, O.; Böhnke, R.; Xu, W.
core  

List-Decoding Capacity of the Gaussian Arbitrarily-Varying Channel. [PDF]

Entropy (Basel), 2019
Hosseinigoki F, Kosut O.
europepmc   +1 more source

Histone Modification Complex JMJ704‐HDA709 Negatively Regulates Salinity Tolerance in Rice

Advanced Science, EarlyView.
This study reveals that the rice histone demethylase JMJ704 interacts with HDA709―a H3K9ac deacetylase characterized herein―to form a chromatin‐modifying complex. Under salt stress, OsWRKY72 recruits this complex through interaction with JMJ704 to target loci, repressing the expression of oxidative stress and salt‐responsive genes via removal of ...
Jing Wang, Zhengting Chen, Pengxiang Bai, Biao Liu, Lingling Meng, Jian Zhang, Xu Li, Dao‐Xiu Zhou, Xuan Ma, Yu Zhao   +9 more
wiley   +1 more source

Adsorption of Forever Chemical Pollutants: The Physical Chemistry of PFAS Near Surfaces

Advanced Science, EarlyView.
Current adsorption‐based remediation techniques for removing per‐ and polyfluoroalkyl substances (PFAS) from water are limited by knowledge gaps on PFAS behavior near solid surfaces. This review provides a state of the art on theoretical and experimental aspects of PFAS adsorption.
Nada Ben Amor, Daniela Bauer, Benjamin Braconnier, Benoit Coasne   +3 more
wiley   +1 more source

A Foundation Model Based CT Biomarker for Non‐Invasive Prediction of Response to Neoadjuvant Immunochemotherapy in Non‐Small Cell Lung Cancer

Advanced Science, EarlyView.
This study introduces a foundation model‐based biomarker for risk stratification of pathological response in non‐small cell lung cancer. A Vision Mamba super‐resolution model standardizes heterogeneous CT images. A multi‐task Swin Transformer then fine‐tunes a pre‐trained lung foundation model to jointly optimize tumor segmentation and response ...
Yanglan Xu, Shuchang Zhou, Qin Peng, Xiao Bao, Xiaodan Ye, Ahmet Görkem Er, Tong Tong, Mirabela Rusu, Yajia Gu, Mailin Chen, Jing Gong   +10 more
wiley   +1 more source

Accurately Deciphering Tissue Heterogeneity From Spatial Multi‐Modal and Multi‐Omics With STransformer

Advanced Science, EarlyView.
STransformer is a unified deep learning framework designed to seamlessly accommodate a comprehensive landscape of spatial data. By simultaneously capturing short‐range cellular interactions and tissue‐wide semantic patterns, it extracts robust representations to accurately dissect complex tissue heterogeneity.
Xingyi Li, Jialuo Xu, Gaoyuan Du, Xiangting Jia, Dongmin Zhao, Chunyan Zhou, Kexin Xiao, Jia Gu, Junnan Zhu, Xuequn Shang   +9 more
wiley   +1 more source