New trends in peptide-based anti-biofilm strategies: a review of recent achievements and bioinformatic approaches
Antimicrobial peptides (AMPs) have a broad spectrum of activity and unspecific mechanisms
of action. Therefore, they are seen as valid alternatives to overcome clinically relevant …
of action. Therefore, they are seen as valid alternatives to overcome clinically relevant …
[BOOK][B] Association rule mining: models and algorithms
During decision making, we are often confronted by a huge amount of factors. These factors
may be either an advantage or a disadvantage to a decision objective. For the purpose of …
may be either an advantage or a disadvantage to a decision objective. For the purpose of …
Tutorial on practical tips of the most influential data preprocessing algorithms in data mining
Data preprocessing is a major and essential stage whose main goal is to obtain final data
sets that can be considered correct and useful for further data mining algorithms. This paper …
sets that can be considered correct and useful for further data mining algorithms. This paper …
Analysis and prediction of protein stability based on interaction network, gene ontology, and KEGG pathway enrichment scores
F Huang, M Fu, JR Li, L Chen, KY Feng… - … et Biophysica Acta (BBA …, 2023 - Elsevier
Metabolic stability of proteins plays a vital role in various dedicated cellular processes.
Traditional methods of measuring the metabolic stability are time-consuming and expensive …
Traditional methods of measuring the metabolic stability are time-consuming and expensive …
Identification of Smoking‐Associated Transcriptome Aberration in Blood with Machine Learning Methods
FM Huang, QL Ma, JX Ren, JR Li… - BioMed research …, 2023 - Wiley Online Library
Long‐term cigarette smoking causes various human diseases, including respiratory
disease, cancer, and gastrointestinal (GI) disorders. Alterations in gene expression and …
disease, cancer, and gastrointestinal (GI) disorders. Alterations in gene expression and …
An explainable AI-driven biomarker discovery framework for Non-Small Cell Lung Cancer classification
Abstract Non-Small Cell Lung Cancer (NSCLC) exhibits intrinsic heterogeneity at the
molecular level that aids in distinguishing between its two prominent subtypes—Lung …
molecular level that aids in distinguishing between its two prominent subtypes—Lung …
Predicting heart cell types by using transcriptome profiles and a machine learning method
S Ding, D Wang, X Zhou, L Chen, K Feng, X Xu… - Life, 2022 - mdpi.com
The heart is an essential organ in the human body. It contains various types of cells, such as
cardiomyocytes, mesothelial cells, endothelial cells, and fibroblasts. The interactions …
cardiomyocytes, mesothelial cells, endothelial cells, and fibroblasts. The interactions …
Predicting RNA 5‐Methylcytosine Sites by Using Essential Sequence Features and Distributions
Methylation is one of the most common and considerable modifications in biological systems
mediated by multiple enzymes. Recent studies have shown that methylation has been …
mediated by multiple enzymes. Recent studies have shown that methylation has been …
Semisupervised feature selection based on relevance and redundancy criteria
Feature selection aims to gain relevant features for improved classification performance and
remove redundant features for reduced computational cost. How to balance these two …
remove redundant features for reduced computational cost. How to balance these two …
Identifying transcriptomic signatures and rules for SARS-CoV-2 infection
The world-wide Coronavirus Disease 2019 (COVID-19) pandemic was triggered by the
widespread of a new strain of coronavirus named as severe acute respiratory syndrome …
widespread of a new strain of coronavirus named as severe acute respiratory syndrome …