MGRFE: Multilayer Recursive Feature Elimination Based on an Embedded Genetic Algorithm for Cancer Classification
Microarray gene expression data have become a topic of great interest for cancer classification and for further research in the field of bioinformatics. Nonetheless, due to the...
47 minutes ago - IEEE/ACM
MCHMDA:Predicting Microbe-Disease Associations Based on Similarities and Low-Rank Matrix Completion
With the development of high-through sequencing technology and microbiology, many studies have evidenced that microbes are associated with human diseases, such as obesity...
47 minutes ago - IEEE/ACM
IPhosH-PseAAC: Identify Phosphohistidine Sites in Proteins by Blending Statistical Moments and Position Relative Features According to the Chou's 5-Step Rule and General Pseudo Amino Acid Composition
Protein phosphorylation is one of the key mechanism in prokaryotes and eukaryotes and is responsible for various biological functions such as protein degradation, intracellular...
47 minutes ago - IEEE/ACM
Improve the Resolution and Parallel Performance of the Three-Dimensional Refine Algorithm in RELION Using CUDA and MPI
In cryo-electron microscopy, RELION is a powerful tool for high-resolution reconstruction. Due to the complicated imaging procedure and the heterogeneity of particles, some of...
47 minutes ago - IEEE/ACM
DeepDSC: A Deep Learning Method to Predict Drug Sensitivity of Cancer Cell Lines
High-throughput screening technologies have provided a large amount of drug sensitivity data for a panel of cancer cell lines and hundreds of compounds. Computational...
47 minutes ago - IEEE/ACM - 2 articles
Deep Convolutional and Recurrent Neural Networks for Cell Motility Discrimination and Prediction
Cells in culture display diverse motility behaviors that may reflect differences in cell state and function, providing motivation to discriminate between different motility...
47 minutes ago - IEEE/ACM - 2 articles
Colored Network Motif Analysis by Dynamic Programming Approach: An Application in Host Pathogen Interaction Network
Network motifs are subgraphs of a network which are found with significantly higher frequency than that expected in similar random networks. Motifs are small building blocks of...
47 minutes ago - IEEE/ACM
CNV IFTV: An Isolation Forest and Total Variation-Based Detection of CNVs from Short-Read Sequencing Data
Accurate detection of copy number variations from short-read sequencing data is challenging due to the uneven distribution of reads and the unbalanced amplitudes of gains and...
47 minutes ago - IEEE/ACM
Bayesian Inference in Y-Linked Two-Sex Branching Processes with Mutations: ABC Approach
A Y-linked two-sex branching process with mutations and blind choice of males is a suitable model for analyzing the evolution of the number of carriers of a Y-linked allele and...
47 minutes ago - IEEE/ACM
ANCA: Alignment-Based Network Construction Algorithm
Dynamic biological networks model changes in the network topology over time. However, often the topologies of these networks are not available at specific time points. Existing...
47 minutes ago - IEEE/ACM
Free Registration
The headlines of BioTech Mag
2nd International Conference on Generic Drugs and Biosimilars
2nd International Conference on Generic Drugs and Biosimilars
2nd International Conference on Generic Drugs and Biosimilars
2nd International Conference on Generic Drugs and Biosimilars
Colored Network Motif Analysis by Dynamic Programming Approach: An...
Network motifs are subgraphs of a network which are found with significantly higher frequency than that expected in similar random networks. Motifs are small building blocks of...
Improve the Resolution and Parallel Performance of the Three-Dimensional...
In cryo-electron microscopy, RELION is a powerful tool for high-resolution reconstruction. Due to the complicated imaging procedure and the heterogeneity of particles, some of...
IPhosH-PseAAC: Identify Phosphohistidine Sites in Proteins by Blending...
Protein phosphorylation is one of the key mechanism in prokaryotes and eukaryotes and is responsible for various biological functions such as protein degradation, intracellular...
MCHMDA:Predicting Microbe-Disease Associations Based on Similarities and...
With the development of high-through sequencing technology and microbiology, many studies have evidenced that microbes are associated with human diseases, such as obesity...
MGRFE: Multilayer Recursive Feature Elimination Based on an Embedded Genetic...
Microarray gene expression data have become a topic of great interest for cancer classification and for further research in the field of bioinformatics. Nonetheless, due to the...
ANCA: Alignment-Based Network Construction Algorithm
Dynamic biological networks model changes in the network topology over time. However, often the topologies of these networks are not available at specific time points. Existing...
Bayesian Inference in Y-Linked Two-Sex Branching Processes with Mutations...
A Y-linked two-sex branching process with mutations and blind choice of males is a suitable model for analyzing the evolution of the number of carriers of a Y-linked allele and...
CNV IFTV: An Isolation Forest and Total Variation-Based Detection of CNVs...
Accurate detection of copy number variations from short-read sequencing data is challenging due to the uneven distribution of reads and the unbalanced amplitudes of gains and...
Vaccines: Herd Immunity, Passports, Reaching the Underserved
As the COVID-19 vaccinations roll out with increasing speed, questions are now arising about herd immunity, the need to reach underserved populations, and a proposed passport...
Computational methods for chromosome-scale haplotype reconstruction
High-quality chromosome-scale haplotype sequences of diploid genomes, polyploid genomes, and metagenomes provide important insights into genetic variation associated with...