AI Medical Compendium Journal:
Genomics

Showing 11 to 20 of 38 articles

ChrNet: A re-trainable chromosome-based 1D convolutional neural network for predicting immune cell types.

Genomics
Cells from our immune system detect and kill pathogens to protect our body against various diseases. However, current methods for determining cell types have some major limitations, such as being time-consuming and with low throughput, etc. Immune ce...

World competitive contest-based artificial neural network: A new class-specific method for classification of clinical and biological datasets.

Genomics
Many data mining methods have been proposed to generate computer-aided diagnostic systems, which may determine diseases in their early stages by categorizing the data into some proper classes. Considering the importance of the existence of a suitable...

Machine learning method using position-specific mutation based classification outperforms one hot coding for disease severity prediction in haemophilia 'A'.

Genomics
Haemophilia is an X-linked genetic disorder in which A and B types are the most common that occur due to absence or lack of protein factors VIII and IX, respectively. Severity of the disease depends on mutation. Available Machine Learning (ML) method...

CWLy-pred: A novel cell wall lytic enzyme identifier based on an improved MRMD feature selection method.

Genomics
Cell wall lytic enzymes play key roles in biochemical, morphological, genetic research and industry fields. To save time and labor costs, bioinformatic methods are usually adopted to narrow the scope of in vitro experimentation. In this paper, we est...

Prediction of antioxidant proteins using hybrid feature representation method and random forest.

Genomics
Natural antioxidant proteins are mainly found in plants and animals, which interact to eliminate excessive free radicals and protect cells and DNA from damage, prevent and treat some diseases. Therefore, accurate identification of antioxidant protein...

Multi-feature fusion for deep learning to predict plant lncRNA-protein interaction.

Genomics
Long non-coding RNAs (lncRNAs) play key roles in regulating cellular biological processes through diverse molecular mechanisms including binding to RNA binding proteins. The majority of plant lncRNAs are functionally uncharacterized, thus, accurate p...

Evaluation of off-targets predicted by sgRNA design tools.

Genomics
The ease of programming CRISPR/Cas9 system for targeting a specific location within the genome has paved way for many clinical and industrial applications. However, its widespread use is still limited owing to its off-target effects. Though this off-...

Estimating gene expression from DNA methylation and copy number variation: A deep learning regression model for multi-omics integration.

Genomics
Gene expression analysis plays a significant role for providing molecular insights in cancer. Various genetic and epigenetic factors (being dealt under multi-omics) affect gene expression giving rise to cancer phenotypes. A recent growth in understan...

Molib: A machine learning based classification tool for the prediction of biofilm inhibitory molecules.

Genomics
Identification of biofilm inhibitory small molecules appears promising for therapeutic intervention against biofilm-forming bacteria. However, the experimental identification of such molecules is a time-consuming task, and thus, the computational app...