Results 141 to 150 of about 313,820 (280)

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

Advanced Science, EarlyView.
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang, Yuli Zhang, Zixin Kang, Jiayun Xiong, Ronghua Yang, Kang Ning   +5 more
wiley   +1 more source

Engineered GM1 Intersects Between Mitochondrial and Synaptic Pathways to Ameliorate ALS Pathology

Advanced Science, EarlyView.
Amyotrophic Lateral Sclerosis (ALS) is a fatal neurodegenerative disease driven by genetic and molecular disruptions affecting energy balance, protein homeostasis, and stress responses in nerve cells. Studies using human and rodent models identified convergent defects in mitochondria and synaptic function.
Federica Pilotto, Tristan Dellazizzo Toth, Silvano Bond, Alexander Schmitz, Rim Diab, Sara Y. Ngo Tenlep, Brian Mooney, Silvia Erni, Martina Schobesberger, Olivier Scheidegger, Camille Peitsch, Smita Saxena   +11 more
wiley   +1 more source

Methods for Addressing Missingness in Electronic Health Record Data for Clinical Prediction Models: Comparative Evaluation

JMIR Medical Informatics
BackgroundMissing data are a common challenge in electronic health record (EHR)–based prediction modeling. Traditional imputation methods may not suit prediction or machine learning models, and real-world use requires workflows that are implementable for
Jean Digitale, Deborah Franzon, Mark J Pletcher, Charles E McCulloch, Efstathios D Gennatas   +4 more
doaj   +1 more source

Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis

Advanced Science, EarlyView.
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu, Kexing Li, Yuge Wang, Hongyu Li, Hongyu Zhao   +4 more
wiley   +1 more source

Rapid Remodeling of the Human Gut Microbiome in Response to Short‐Term Animal Product Restriction and Associations with Host Molecular Phenotypes

Advanced Science, EarlyView.
A real‐world model of structured animal product restriction practiced for religious reasons reveals the dynamic adaptability of the human gut microbiome to dietary change and uncovers reductions in diversity and rare taxa loss. Integrated microbiome, metabolomic, and proteomic analyses uncover coordinated taxonomic and molecular shifts and identify ...
Christina Emmanouil, Maria Anezaki, Alexandros Simistiras, Stavros Glentis, Nikolaos Scarmeas, Pantelis Hatzis, Konstantinos Rouskas, Antigone S. Dimas   +7 more
wiley   +1 more source

A Protein‐Centric Strategy Coupled with Match‐Between‐Run Glycoproteomics Enables Discovery of Robust Site‐Specific Glycan Biomarkers for Hepatocellular Carcinoma

Advanced Science, EarlyView.
In this study, a highly robust N‐glycoproteomics (HRN) platform with a newly developed match‐between‐run scheme is used for biomarker discovery. This study proposes a protein‐centric strategy to prioritize proteins susceptible to aberrant glycosylation.
Lei Liu, Taiheng Ma, Qi Liu, He Zhu, Zheng Fang, Jiahong Ma, Ting Yu, Yan Wang, Jiahua Zhou, Xiaoyan Liu, Yaqian Li, Zhimou Guo, Xinmiao Liang, Mingming Dong, Deguang Sun, Mingliang Ye   +15 more
wiley   +1 more source

Data Imputation Methods and Technologies [PDF]

International Journal of Trend in Scientific Research and Development, 2018
Ritesh Kumar Pandey, Dr Asha Ambhaikar
openaire   +1 more source

Cohort‐Scale Spatial Autocorrelation for Tumor Prediction in Mid‐Infrared Pathology and Spatial Biomarker Discovery Using MALDI Imaging Lipidomics

Advanced Science, EarlyView.
Computational annotation of various tissue types in heterogeneous samples such as colorectal cancer liver metastasis (CRLM) using spatial autocorrelation analysis on non‐destructive mid‐infrared (MIR) imaging data enabled correlative multimodal mass spectrometry imaging (MSI) for spatial investigation of lipid tumor marker candidates. The method can be
Miriam F. Rittel, Nikolas Ebert, Denis Abu Sammour, Sebastian Graf, Björn C. Fröhlich, Emrullah Birgin, Shad A. Mohammed, Nuh N. Rahbari, Axel Wellmann, Oliver Wasenmüller, Cleo‐Aron Weis, Stefan Schmidt, Carsten Hopf   +12 more
wiley   +1 more source

Maternal Preconception Antibiotic Exposure Disrupts Microbial Succession: A Transgenerational Risk for Offspring Gut Mucosal Immaturity and Colitis Susceptibility

Advanced Science, EarlyView.
This study reveals that maternal antibiotic exposure prior to conception disrupts intergenerational gut microbial succession. By enhancing maternal‐offspring microbial transmission, altering microbial developmental trajectories and increasing selective pressures during community assembly, these disturbances lead to persistent gut mucosal immaturity and
Yuzhu Chen, Ruqiao Duan, Cunzheng Zhang, Gaonan Li, XiaoLin Ji, Qi Zhang, Fei Pei, Kun Wang, Liping Duan   +8 more
wiley   +1 more source

Alphaviral Capsid Proteins Inhibit Stress Granule Assembly via Competitive RNA Binding With G3BP1

Advanced Science, EarlyView.
Stress granules exert antiviral functions. This study illustrates a conserved function of alphaviral capsid proteins in modulating stress granules. Oligomerization mediated by a helical motif coupled with a positively charged intrinsically disordered region (IDR) directly competes with G3BP1 for RNA binding, thereby disrupting G3BP1‐RNA liquid–liquid ...
Yun Zhang, Yi Liu, Zhiying Yao, Haolong Lai, Xiaoxin Chen, Ziqiu Wang, Yiqiong Bao, Tingting Li, Xiaoming Zhou, Xiabin Chen, Peiguo Yang   +10 more
wiley   +1 more source