| a |
| AlphaFold2 | Analysis of AlphaFold2 for Modeling Structures of Wildtype and Variant Protein Sequences |
| alternative splicing | Identification and Analysis of Alternative Splicing in Soybean Plants |
| Ambiguous Sequences | A Novel Approach for Mapping Ambiguous Sequences of Transcriptomes |
| Antibody sequences | A Deep Dimensionality Reduction method based on Variational Autoencoder for Antibody Complementarity Determining Region Sequences Analysis |
| approximation algorithm | Signed Rearrangement Distances Considering Repeated Genes and Intergenic Regions |
| Autoencoder | Interpretable Image Classification Model Using Formal Concept Analysis Based Classifier |
| b |
| Biomaterial | Machine Learning Techniques in Structure-Property Optimization of Polymeric Scaffolds for Tissue Engineering |
| breast cancer imaging | Transfer Learning Pre-training Dataset Effect Analysis for Breast Cancer Imaging |
| c |
| Classification | EMG-Based Feature Extraction and Classification for Prosthetic Hand Control |
| Classifier | Interpretable Image Classification Model Using Formal Concept Analysis Based Classifier |
| Clustering | A Deep Dimensionality Reduction method based on Variational Autoencoder for Antibody Complementarity Determining Region Sequences Analysis
Comparative Single-cell RNA-sequencing Cluster Analysis for Traumatic Brain Injury Marker Genes Detection |
| conformation sampling | Guiding Protein Conformation Sampling with Conformation Space Maps |
| Conformational Space of Proteins | Using Topological Data Analysis and RRT to Investigate Protein Conformational Spaces |
| COVID-19 | SARS-CoV-2 variants classification and characterization |
| COVID-19 variants | SARS-CoV-2 variants classification and characterization |
| Cross-reactivity | A Deep Dimensionality Reduction method based on Variational Autoencoder for Antibody Complementarity Determining Region Sequences Analysis |
| d |
| DDSM | Transfer Learning Pre-training Dataset Effect Analysis for Breast Cancer Imaging |
| deep learning | A Deep Dimensionality Reduction method based on Variational Autoencoder for Antibody Complementarity Determining Region Sequences Analysis |
| dimensionality reduction | A Deep Dimensionality Reduction method based on Variational Autoencoder for Antibody Complementarity Determining Region Sequences Analysis |
| Disease outcomes | Simple evolutionary algorithm for quantifying how medical history factors predict disease outcomes |
| e |
| Electromyography (EMG) | EMG-Based Feature Extraction and Classification for Prosthetic Hand Control |
| Electronic Health Records | Simple evolutionary algorithm for quantifying how medical history factors predict disease outcomes |
| evolutionary algorithm | Guiding Protein Conformation Sampling with Conformation Space Maps
Simple evolutionary algorithm for quantifying how medical history factors predict disease outcomes |
| f |
| FCA | Interpretable Image Classification Model Using Formal Concept Analysis Based Classifier |
| feature extraction | EMG-Based Feature Extraction and Classification for Prosthetic Hand Control |
| fine-tuning | Transfer Learning Pre-training Dataset Effect Analysis for Breast Cancer Imaging |
| g |
| gene expression | A Novel Approach for Mapping Ambiguous Sequences of Transcriptomes |
| gene regulatory networks | Learning Gene Regulatory Networks using Graph Granger Causality |
| genes | Identification and Analysis of Alternative Splicing in Soybean Plants |
| Genetic Algorithm | Simple evolutionary algorithm for quantifying how medical history factors predict disease outcomes |
| genome rearrangement | Signed Rearrangement Distances Considering Repeated Genes and Intergenic Regions |
| Granger causality | Learning Gene Regulatory Networks using Graph Granger Causality |
| graph neural networks on timeseries data | Learning Gene Regulatory Networks using Graph Granger Causality |
| i |
| indel | Variation of miRNA target sites in the Human Genome |
| Intergenic Regions | Signed Rearrangement Distances Considering Repeated Genes and Intergenic Regions |
| l |
| LDA | Interpretable Image Classification Model Using Formal Concept Analysis Based Classifier |
| m |
| machine learning | Machine Learning Techniques in Structure-Property Optimization of Polymeric Scaffolds for Tissue Engineering |
| Mapper algorithm | Using Topological Data Analysis and RRT to Investigate Protein Conformational Spaces |
| Mapping | A Novel Approach for Mapping Ambiguous Sequences of Transcriptomes |
| marker genes | Comparative Single-cell RNA-sequencing Cluster Analysis for Traumatic Brain Injury Marker Genes Detection |
| medical history factors | Simple evolutionary algorithm for quantifying how medical history factors predict disease outcomes |
| miRNA | Variation of miRNA target sites in the Human Genome |
| miRNA Target Site | Variation of miRNA target sites in the Human Genome |
| MNIST | Interpretable Image Classification Model Using Formal Concept Analysis Based Classifier |
| Multispecificity | A Deep Dimensionality Reduction method based on Variational Autoencoder for Antibody Complementarity Determining Region Sequences Analysis |
| n |
| neural network | EMG-Based Feature Extraction and Classification for Prosthetic Hand Control |
| o |
| Optimization | Guiding Protein Conformation Sampling with Conformation Space Maps |
| p |
| pre-training dataset | Transfer Learning Pre-training Dataset Effect Analysis for Breast Cancer Imaging |
| Principal Component Analysis | Using Topological Data Analysis and RRT to Investigate Protein Conformational Spaces |
| protein conformation | Guiding Protein Conformation Sampling with Conformation Space Maps |
| protein tertiary structure | Analysis of AlphaFold2 for Modeling Structures of Wildtype and Variant Protein Sequences |
| r |
| Rapidly Exploring Random Tree Search | Using Topological Data Analysis and RRT to Investigate Protein Conformational Spaces |
| reversal | Signed Rearrangement Distances Considering Repeated Genes and Intergenic Regions |
| RNA sequencing | Identification and Analysis of Alternative Splicing in Soybean Plants |
| RNA-seq | A Novel Approach for Mapping Ambiguous Sequences of Transcriptomes |
| s |
| SARS-CoV-2 variants | SARS-CoV-2 variants classification and characterization |
| single-cell RNA sequencing | Comparative Single-cell RNA-sequencing Cluster Analysis for Traumatic Brain Injury Marker Genes Detection |
| SNP | Variation of miRNA target sites in the Human Genome |
| Soybean | Identification and Analysis of Alternative Splicing in Soybean Plants |
| structure quality analysis | Analysis of AlphaFold2 for Modeling Structures of Wildtype and Variant Protein Sequences |
| t |
| tissue engineering | Machine Learning Techniques in Structure-Property Optimization of Polymeric Scaffolds for Tissue Engineering |
| topological data analysis | Using Topological Data Analysis and RRT to Investigate Protein Conformational Spaces |
| transcriptome | Identification and Analysis of Alternative Splicing in Soybean Plants
A Novel Approach for Mapping Ambiguous Sequences of Transcriptomes |
| Transfer Learning | Transfer Learning Pre-training Dataset Effect Analysis for Breast Cancer Imaging |
| Transposition | Signed Rearrangement Distances Considering Repeated Genes and Intergenic Regions |
| traumatic brain injury | Comparative Single-cell RNA-sequencing Cluster Analysis for Traumatic Brain Injury Marker Genes Detection |
| v |
| variant clustering | SARS-CoV-2 variants classification and characterization |
