Genetics

Latest AI and machine learning research in genetics for healthcare professionals.

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Discriminant Projection Shared Dictionary Learning for Classification of Tumors Using Gene Expression Data.

With a variety of tumor subtypes, personalized treatments need to identify the subtype of a tumor as...

iEnhancer-RD: Identification of enhancers and their strength using RKPK features and deep neural networks.

Enhancers are regulatory elements involved in gene expression.It is a part of DNA, which can enhance...

Machine Learning Aids Classification and Discrimination of Noncanonical DNA Folding Motifs by an Arrayed Host:Guest Sensing System.

An arrayed host:guest fluorescence sensor system can discriminate among and classify multiple differ...

Predicting moisture content during maize nixtamalization using machine learning with NIR spectroscopy.

Moisture content during nixtamalization can be accurately predicted from NIR spectroscopy when coupl...

A novel artificial intelligence-based approach for identification of deoxynucleotide aptamers.

The selection of a DNA aptamer through the Systematic Evolution of Ligands by EXponential enrichment...

Deep learning detects cardiotoxicity in a high-content screen with induced pluripotent stem cell-derived cardiomyocytes.

Drug-induced cardiotoxicity and hepatotoxicity are major causes of drug attrition. To decrease late-...

Predicting mutant outcome by combining deep mutational scanning and machine learning.

Deep mutational scanning provides unprecedented wealth of quantitative data regarding the functional...

MTT assay based inhibition analysis of A2780 cells proliferation using Lam. extract with CXCR4 and HER2 expression.

It is of interest to document the inhibition of A2780 cell proliferation using Lam.() extract by MT...

Deep learning with robustness to missing data: A novel approach to the detection of COVID-19.

In the context of the current global pandemic and the limitations of the RT-PCR test, we propose a n...

Application of a Poisson deep neural network model for the prediction of count data in genome-based prediction.

Genomic selection (GS) is revolutionizing conventional ways of developing new plants and animals. Ho...

Decision-Making Model of Product Modeling Big Data Design Scheme Based on Neural Network Optimized by Genetic Algorithm.

At present, machine learning artificial neural network technology, as one of the core technologies o...

Improving Measures of Chemical Structural Similarity Using Machine Learning on Chemical-Genetic Interactions.

A common strategy for identifying molecules likely to possess a desired biological activity is to se...

In silico saturation mutagenesis of cancer genes.

Despite the existence of good catalogues of cancer genes, identifying the specific mutations of thos...

bCNN-Methylpred: Feature-Based Prediction of RNA Sequence Modification Using Branch Convolutional Neural Network.

RNA modification is vital to various cellular and biological processes. Among the existing RNA modif...

A Framework for Efficient N-Way Interaction Testing in Case/Control Studies With Categorical Data.

Most common diseases are influenced by multiple gene interactions and interactions with the environ...

Gene Mutation Classification through Text Evidence Facilitating Cancer Tumour Detection.

A cancer tumour consists of thousands of genetic mutations. Even after advancement in technology, th...

Deep-learning power and perspectives for genomic selection.

Deep learning (DL) is revolutionizing the development of artificial intelligence systems. For exampl...

A Multi-Objective Evolutionary Approach Based on Graph-in-Graph for Neural Architecture Search of Convolutional Neural Networks.

With the development of deep learning, the design of an appropriate network structure becomes fundam...

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