Medical image classifications using convolutional neural networks: a survey of current methods and statistical modeling of the literature

FA Mohammed, KK Tune, BG Assefa, M Jett… - Machine learning and …, 2024 - mdpi.com
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 …

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 …

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 …

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 …

TSSNote-CyaPromBERT: Development of an integrated platform for highly accurate promoter prediction and visualization of Synechococcus sp. and Synechocystis …

DHA Mai, LT Nguyen, EY Lee - Frontiers in Genetics, 2022 - frontiersin.org
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) …

A comprehensive survey on computational learning methods for analysis of gene expression data

N Bhandari, R Walambe, K Kotecha… - Frontiers in Molecular …, 2022 - frontiersin.org
Computational analysis methods including machine learning have a significant impact in the
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

N Bhaskar, V Bairagi, MV Munot… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
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 …

Towards misbehavior intelligent detection using guided machine learning in vehicular ad-hoc networks (VANET)

O Slama, B Alaya, S Zidi - Inteligencia Artificial, 2022 - journal.iberamia.org
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 …

[HTML][HTML] gRNA Design: How Its Evolution Impacted on CRISPR/Cas9 Systems Refinement

C Motoche-Monar, JE Ordoñez, O Chang… - Biomolecules, 2023 - mdpi.com
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 …

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 …