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Medical image classifications using convolutional neural networks: a survey of current methods and statistical modeling of the literature
In this review, we compiled convolutional neural network (CNN) methods which have the
potential to automate the manual, costly and error-prone processing of medical images. We …
potential to automate the manual, costly and error-prone processing of medical images. We …
Advances in promoter engineering: novel applications and predefined transcriptional control
AP Cazier, J Blazeck - Biotechnology Journal, 2021 - Wiley Online Library
Synthetic biology continues to progress by relying on more robust tools for transcriptional
control, of which promoters are the most fundamental component. Numerous studies have …
control, of which promoters are the most fundamental component. Numerous studies have …
Designing artificial synthetic promoters for accurate, smart, and versatile gene expression in plants
E Yasmeen, J Wang, M Riaz, L Zhang, K Zuo - Plant Communications, 2023 - cell.com
With the development of high-throughput biology techniques and artificial intelligence, it has
become increasingly feasible to design and construct artificial biological parts, modules …
become increasingly feasible to design and construct artificial biological parts, modules …
A rapid and scalable approach to build synthetic repetitive hormone‐responsive promoters
JP Fernandez‐Moreno, AE Yaschenko… - Plant Biotechnology …, 2024 - Wiley Online Library
Advancement of DNA‐synthesis technologies has greatly facilitated the development of
synthetic biology tools. However, high‐complexity DNA sequences containing tandems of …
synthetic biology tools. However, high‐complexity DNA sequences containing tandems of …
TSSNote-CyaPromBERT: Development of an integrated platform for highly accurate promoter prediction and visualization of Synechococcus sp. and Synechocystis …
Since the introduction of the first transformer model with a unique self-attention mechanism,
natural language processing (NLP) models have attained state-of-the-art (SOTA) …
natural language processing (NLP) models have attained state-of-the-art (SOTA) …
A comprehensive survey on computational learning methods for analysis of gene expression data
Computational analysis methods including machine learning have a significant impact in the
fields of genomics and medicine. High-throughput gene expression analysis methods such …
fields of genomics and medicine. High-throughput gene expression analysis methods such …
Automated COVID-19 detection from exhaled human breath using CNN-CatBoost ensemble model
In this letter, we propose a novel approach for detecting COVID-19 from exhaled breath.
Recent studies have revealed that certain exhaled breath components can be used as …
Recent studies have revealed that certain exhaled breath components can be used as …
Towards misbehavior intelligent detection using guided machine learning in vehicular ad-hoc networks (VANET)
Abstract C-ITS (Cooperative Intelligent Transport Systems) est une nouvelle technologie qui
contribue à la réduction des accidents de la circulation et à l'amélioration de la sécurité …
contribue à la réduction des accidents de la circulation et à l'amélioration de la sécurité …
[HTML][HTML] gRNA Design: How Its Evolution Impacted on CRISPR/Cas9 Systems Refinement
Over the past decade, genetic engineering has witnessed a revolution with the emergence
of a relatively new genetic editing tool based on RNA-guided nucleases: the CRISPR/Cas9 …
of a relatively new genetic editing tool based on RNA-guided nucleases: the CRISPR/Cas9 …
Promoter prediction in nannochloropsis based on densely connected convolutional neural networks
PJ Wei, ZZ Pang, LJ Jiang, DY Tan, YS Su, CH Zheng - Methods, 2022 - Elsevier
Promoter is a key DNA element located near the transcription start site, which regulates
gene transcription by binding RNA polymerase. Thus, the identification of promoters is an …
gene transcription by binding RNA polymerase. Thus, the identification of promoters is an …