[HTML][HTML] Comparison of CNN-based deep learning architectures for rice diseases classification
MT Ahad, Y Li, B Song, T Bhuiyan - Artificial Intelligence in Agriculture, 2023 - Elsevier
Although convolutional neural network (CNN) paradigms have expanded to transfer
learning and ensemble models from original individual CNN architectures, few studies have …
learning and ensemble models from original individual CNN architectures, few studies have …
i6mA-Caps: A CapsuleNet-based framework for identifying DNA N6-methyladenine sites
Abstract Motivation DNA N6-methyladenine (6mA) has been demonstrated to have an
essential function in epigenetic modification in eukaryotic species in recent research. 6mA …
essential function in epigenetic modification in eukaryotic species in recent research. 6mA …
DL-m6A: Identification of N6-methyladenosine Sites in Mammals using deep learning based on different encoding schemes
N6-methyladenosine (m6A) is a common post-transcriptional alteration that plays a critical
function in a variety of biological processes. Although experimental approaches for …
function in a variety of biological processes. Although experimental approaches for …
[HTML][HTML] DCNN-4mC: Densely connected neural network based N4-methylcytosine site prediction in multiple species
Abstract DNA N4-methylcytosine (4mC) being a significant genetic modification holds a
dominant role in controlling different biological functions, ie, DNA replication, DNA repair …
dominant role in controlling different biological functions, ie, DNA replication, DNA repair …
Multi-scale context aggregation for strawberry fruit recognition and disease phenotyping
Timely harvesting and disease identification of strawberry fruits is a major concern for
commercial level cultivators. Failing to harvest the grown strawberries can result in the fruit …
commercial level cultivators. Failing to harvest the grown strawberries can result in the fruit …
Meta-IL4: An ensemble learning approach for IL-4-inducing peptide prediction
Abstract The cytokine interleukin-4 (IL-4) plays an important role in our immune system. IL-4
leads the way in the differentiation of naïve T-helper 0 cells (Th0) to T-helper 2 cells (Th2) …
leads the way in the differentiation of naïve T-helper 0 cells (Th0) to T-helper 2 cells (Th2) …
iProm-phage: A two-layer model to identify phage promoters and their types using a convolutional neural network
The increased interest in phages as antibacterial agents has resulted in a rise in the number
of sequenced phage genomes, necessitating the development of user-friendly …
of sequenced phage genomes, necessitating the development of user-friendly …
ENet-6mA: identification of 6mA modification sites in plant genomes using ElasticNet and neural networks
N6-methyladenine (6mA) has been recognized as a key epigenetic alteration that affects a
variety of biological activities. Precise prediction of 6mA modification sites is essential for …
variety of biological activities. Precise prediction of 6mA modification sites is essential for …
[HTML][HTML] iProm-Zea: A two-layer model to identify plant promoters and their types using convolutional neural network
A promoter is a short DNA sequence near the start codon, responsible for initiating the
transcription of a specific gene in the genome. The accurate recognition of promoters is …
transcription of a specific gene in the genome. The accurate recognition of promoters is …
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 …