AIMC Topic: Databases, Nucleic Acid
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Pseudocell Tracer-A method for inferring dynamic trajectories using scRNAseq and its application to B cells undergoing immunoglobulin class switch recombination.
PLoS computational biology
May 3, 2021
Single cell RNA sequencing (scRNAseq) can be used to infer a temporal ordering of cellular states. Current methods for the inference of cellular trajectories rely on unbiased dimensionality reduction techniques. However, such biologically agnostic or...
Mice, Inbred C57BL
Gene Expression
B-Lymphocytes
Supervised Machine Learning
Basic-Leucine Zipper Transcription Factors
Neural Networks, Computer
Mice
Immunoglobulin Class Switching
Interleukin-4
Computational Biology
NF-kappa B p50 Subunit
Immunoglobulin G
Signal Transduction
Computer Simulation
STAT6 Transcription Factor
Databases, Nucleic Acid
Animals
Models, Immunological
Single-Cell Analysis
Receptors, Cytokine
RNA-Seq
Recombination, Genetic
Novel gene signatures for stage classification of the squamous cell carcinoma of the lung.
Scientific reports
Mar 1, 2021
The squamous cell carcinoma of the lung (SCLC) is one of the most common types of lung cancer. As GLOBOCAN reported in 2018, lung cancer was the first cause of death and new cases by cancer worldwide. Typically, diagnosis is made in the later stages ...
Integrated Learning: Screening Optimal Biomarkers for Identifying Preeclampsia in Placental mRNA Samples.
Computational and mathematical methods in medicine
Feb 23, 2021
Preeclampsia (PE) is a maternal disease that causes maternal and child death. Treatment and preventive measures are not sound enough. The problem of PE screening has attracted much attention. The purpose of this study is to screen placental mRNA to o...
Deep6mA: A deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species.
PLoS computational biology
Feb 18, 2021
N6-methyladenine (6mA) is an important DNA modification form associated with a wide range of biological processes. Identifying accurately 6mA sites on a genomic scale is crucial for under-standing of 6mA's biological functions. However, the existing ...
iPTT(2 L)-CNN: A Two-Layer Predictor for Identifying Promoters and Their Types in Plant Genomes by Convolutional Neural Network.
Computational and mathematical methods in medicine
Jan 5, 2021
A promoter is a short DNA sequence near to the start codon, responsible for initiating transcription of a specific gene in genome. The accurate recognition of promoters has great significance for a better understanding of the transcriptional regulati...
Deep learning predicts short non-coding RNA functions from only raw sequence data.
PLoS computational biology
Nov 11, 2020
Small non-coding RNAs (ncRNAs) are short non-coding sequences involved in gene regulation in many biological processes and diseases. The lack of a complete comprehension of their biological functionality, especially in a genome-wide scenario, has dem...
Cancer classification based on chromatin accessibility profiles with deep adversarial learning model.
PLoS computational biology
Nov 9, 2020
Given the complexity and diversity of the cancer genomics profiles, it is challenging to identify distinct clusters from different cancer types. Numerous analyses have been conducted for this propose. Still, the methods they used always do not direct...
LMI-DForest: A deep forest model towards the prediction of lncRNA-miRNA interactions.
Computational biology and chemistry
Oct 20, 2020
The interactions between miRNAs and long non-coding RNAs (lncRNAs) are subject to intensive recent studies due to its critical role in gene regulations. Computational prediction of lncRNA-miRNA interactions has become a popular alternative strategy t...
L-Extreme Learning Machine: An Efficient Robust Classifier for Tumor Classification.
Computational biology and chemistry
Sep 1, 2020
With the development of cancer research, various gene expression datasets containing cancer information show an explosive growth trend. In addition, due to the continuous maturity of single-cell RNA sequencing (scRNA-seq) technology, the protein info...
Establishment and Analysis of a Combined Diagnostic Model of Polycystic Ovary Syndrome with Random Forest and Artificial Neural Network.
BioMed research international
Aug 20, 2020
Polycystic ovary syndrome (PCOS) is one of the most common metabolic and reproductive endocrinopathies. However, few studies have tried to develop a diagnostic model based on gene biomarkers. In this study, we applied a computational method by combin...
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