Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Using single-cell and spatial transcriptomes to understand stem cell lineage specification during early embryo development
G Peng, G Cui, J Ke, N **g - Annual review of genomics and …, 2020 - annualreviews.org
Embryonic development and stem cell differentiation provide a paradigm to understand the
molecular regulation of coordinated cell fate determination and the architecture of tissue …
molecular regulation of coordinated cell fate determination and the architecture of tissue …
Slide4N: Creating presentation slides from computational notebooks with Human-AI collaboration
Data scientists often have to use other presentation tools (eg, Microsoft PowerPoint) to
create slides to communicate their analysis obtained using computational notebooks. Much …
create slides to communicate their analysis obtained using computational notebooks. Much …
Automated machine learning (AutoML): the future of computational intelligence
Computer science controls every task in today's environment, and everything in the sector
attempts to automate the task. The basic essence of computer science is to minimize human …
attempts to automate the task. The basic essence of computer science is to minimize human …
Interpretable feature extraction and dimensionality reduction in ESM2 for protein localization prediction
Z Luo, R Wang, Y Sun, J Liu, Z Chen… - Briefings in …, 2024 - academic.oup.com
As the application of large language models (LLMs) has broadened into the realm of
biological predictions, leveraging their capacity for self-supervised learning to create feature …
biological predictions, leveraging their capacity for self-supervised learning to create feature …
Facing small and biased data dilemma in drug discovery with enhanced federated learning approaches
Artificial intelligence (AI) models usually require large amounts of high-quality training data,
which is in striking contrast to the situation of small and biased data faced by current drug …
which is in striking contrast to the situation of small and biased data faced by current drug …
BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria
Recent technological advances have led to an exponential expansion of biological
sequence data and extraction of meaningful information through Machine Learning (ML) …
sequence data and extraction of meaningful information through Machine Learning (ML) …
Automated machine learning system for defect detection on cylindrical metal surfaces
YC Huang, KC Hung, JC Lin - Sensors, 2022 - mdpi.com
Metal workpieces are indispensable in the manufacturing industry. Surface defects affect the
appearance and efficiency of a workpiece and reduce the safety of manufactured products …
appearance and efficiency of a workpiece and reduce the safety of manufactured products …
Computing infrastructure construction and optimization for high-performance computing and artificial intelligence
The emergence of supercomputers has brought rapid development to human life and
scientific research. Today, the new wave of artificial intelligence (AI) not only brings …
scientific research. Today, the new wave of artificial intelligence (AI) not only brings …
Potential predictive value of serum targeted metabolites and concurrently mutated genes for EGFR-TKI therapeutic efficacy in lung adenocarcinoma patients with …
X Han, R Luo, L Wang, L Zhang… - American Journal of …, 2020 - pmc.ncbi.nlm.nih.gov
There is a discrepancy in the efficacy of epidermal growth factor receptor-tyrosine kinase
inhibitor (EGFR-TKI) treatment for advanced lung adenocarcinoma (LUAD) patients with …
inhibitor (EGFR-TKI) treatment for advanced lung adenocarcinoma (LUAD) patients with …
[HTML][HTML] AutoGGN: a gene graph network AutoML tool for multi-omics research
Omics data can be used to identify biological characteristics from genetic to phenotypic
levels during the life span of a living being, while molecular interaction networks have a …
levels during the life span of a living being, while molecular interaction networks have a …