Recent advances in machine learning applications in metabolic engineering
Metabolic engineering encompasses several widely-used strategies, which currently hold a
high seat in the field of biotechnology when its potential is manifesting through a plethora of …
high seat in the field of biotechnology when its potential is manifesting through a plethora of …
Distance-based support vector machine to predict DNA N6-methyladenine modification
Background: DNA N6-methyladenine plays an important role in the restriction-modification
system to isolate invasion from adventive DNA. The shortcomings of the high time …
system to isolate invasion from adventive DNA. The shortcomings of the high time …
A survey on deep learning in medicine: Why, how and when?
New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …
data, clinical images, genome sequences, data on prescribed therapies and results …
BERT-Promoter: An improved sequence-based predictor of DNA promoter using BERT pre-trained model and SHAP feature selection
A promoter is a sequence of DNA that initializes the process of transcription and regulates
whenever and wherever genes are expressed in the organism. Because of its importance in …
whenever and wherever genes are expressed in the organism. Because of its importance in …
Omics data and data representations for deep learning-based predictive modeling
S Tsimenidis, E Vrochidou, GA Papakostas - International Journal of …, 2022 - mdpi.com
Medical discoveries mainly depend on the capability to process and analyze biological
datasets, which inundate the scientific community and are still expanding as the cost of next …
datasets, which inundate the scientific community and are still expanding as the cost of next …
Systematic quantification of sequence and structural determinants controlling mRNA stability in bacterial operons
mRNA degradation is a central process that affects all gene expression levels, and yet, the
determinants that control mRNA decay rates remain poorly characterized. Here, we applied …
determinants that control mRNA decay rates remain poorly characterized. Here, we applied …
piEnPred: a bi-layered discriminative model for enhancers and their subtypes via novel cascade multi-level subset feature selection algorithm
Enhancers are short DNA cis-elements that can be bound by proteins (activators) to
increase the possibility that transcription of a particular gene will occur. The Enhancers …
increase the possibility that transcription of a particular gene will occur. The Enhancers …
A CNN-based RNA N6-methyladenosine site predictor for multiple species using heterogeneous features representation
Post-transcriptional modification such as N6-methyladenosine (m6A) has a crucial role in
the stability and regulation of gene expression. Therefore, the identification of m6A is highly …
the stability and regulation of gene expression. Therefore, the identification of m6A is highly …
4mCCNN: Identification of N4-methylcytosine sites in prokaryotes using convolutional neural network
The epigenetic modification, DNA N4-methylcytosine (4mC) plays an important role in DNA
expression, repair, and replication. It simply plays a crucial role in restriction-modification …
expression, repair, and replication. It simply plays a crucial role in restriction-modification …
pcPromoter-CNN: a CNN-based prediction and classification of promoters
A promoter is a small region within the DNA structure that has an important role in initiating
transcription of a specific gene in the genome. Different types of promoters are recognized …
transcription of a specific gene in the genome. Different types of promoters are recognized …