Genetics

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

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On the Juridical Relevance of the Phenomenological Notion of Person in Max Scheler and Edith Stein.

The paper presents a semiotic interpretation of the phenomenological debate on the notion of person,...

PFP-WGAN: Protein function prediction by discovering Gene Ontology term correlations with generative adversarial networks.

Understanding the functionality of proteins has emerged as a critical problem in recent years due to...

JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation.

Recently, the coronavirus disease 2019 (COVID-19) has caused a pandemic disease in over 200 countrie...

Predicting dynamic cellular protein-RNA interactions by deep learning using in vivo RNA structures.

Interactions with RNA-binding proteins (RBPs) are integral to RNA function and cellular regulation, ...

Single Cell RNA-Seq and Machine Learning Reveal Novel Subpopulations in Low-Grade Inflammatory Monocytes With Unique Regulatory Circuits.

Subclinical doses of LPS (SD-LPS) are known to cause low-grade inflammatory activation of monocytes,...

Identification of RNA pseudouridine sites using deep learning approaches.

Pseudouridine(Ψ) is widely popular among various RNA modifications which have been confirmed to occu...

CADD-Splice-improving genome-wide variant effect prediction using deep learning-derived splice scores.

BACKGROUND: Splicing of genomic exons into mRNAs is a critical prerequisite for the accurate synthes...

Genetics and voice production in childhood and adolescence - a review.

Adolescence is a challenging time of change in voicing, normally and in pathology. An increased focu...

Deep6mA: A deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species.

N6-methyladenine (6mA) is an important DNA modification form associated with a wide range of biologi...

Potential applications of deep learning in single-cell RNA sequencing analysis for cell therapy and regenerative medicine.

When used in cell therapy and regenerative medicine strategies, stem cells have potential to treat m...

Fast and precise single-cell data analysis using a hierarchical autoencoder.

A primary challenge in single-cell RNA sequencing (scRNA-seq) studies comes from the massive amount ...

HSM6AP: a high-precision predictor for the Homo N6-methyladenosine (m^6 A) based on multiple weights and feature stitching.

Recent studies have shown that RNA methylation modification can affect RNA transcription, metabolism...

TranSynergy: Mechanism-driven interpretable deep neural network for the synergistic prediction and pathway deconvolution of drug combinations.

Drug combinations have demonstrated great potential in cancer treatments. They alleviate drug resist...

DeepCAPE: A Deep Convolutional Neural Network for the Accurate Prediction of Enhancers.

The establishment of a landscape of enhancers across human cells is crucial to deciphering the mecha...

Compositional memory in attractor neural networks with one-step learning.

Compositionality refers to the ability of an intelligent system to construct models out of reusable ...

Deep diversification of an AAV capsid protein by machine learning.

Modern experimental technologies can assay large numbers of biological sequences, but engineered pro...

RNA secondary structure prediction using deep learning with thermodynamic integration.

Accurate predictions of RNA secondary structures can help uncover the roles of functional non-coding...

Apache Spark based kernelized fuzzy clustering framework for single nucleotide polymorphism sequence analysis.

This paper introduces a kernel based fuzzy clustering approach to deal with the non-linear separable...

Systematic characterization of mutations altering protein degradation in human cancers.

The ubiquitin-proteasome system (UPS) is the primary route for selective protein degradation in huma...

Classification of COVID-19 by Compressed Chest CT Image through Deep Learning on a Large Patients Cohort.

Corona Virus Disease (COVID-19) has spread globally quickly, and has resulted in a large number of c...

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