| a |
| alignment | An Enrichment Method For Mapping Ambiguous Reads To Reference Genome For NGS Analysis |
| atrazine | Statistical Analysis of GLCM Texture Features and Microstructures in SEM Images of Crassostrea virginica Exposed to Atrazine |
| b |
| Bioinformatics | HPC-BLAST: Distributed BLAST for Modern HPC Clusters. |
| biomedical imaging | Improving Classification with CNNs using Wavelet Pooling with Nesterov-Accelerated Adam |
| Branch Divergence | gcn.MOPS: Accelerating cn.MOPS with GPU |
| c |
| Cancer Detection | Improving Classification with CNNs using Wavelet Pooling with Nesterov-Accelerated Adam |
| Clinical Decision Support Systems | Improving Classification with CNNs using Wavelet Pooling with Nesterov-Accelerated Adam |
| Cluster Ensemble | Robust Fuzzy Cluster Ensemble on Cancer Gene Expression Data |
| Clustering | Robust Fuzzy Cluster Ensemble on Cancer Gene Expression Data |
| CNN | Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles |
| coalesced memory access | gcn.MOPS: Accelerating cn.MOPS with GPU |
| codon usage bias | A New Look at Codon Usage and Protein Expression |
| comparative genomics | The Polygraph: A Data Structure for Genome Alignment and Variation Detection |
| Computational and artificial intelligence | Improving Classification with CNNs using Wavelet Pooling with Nesterov-Accelerated Adam |
| convolution | Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles |
| Convolutional Neural Networks | Improving Classification with CNNs using Wavelet Pooling with Nesterov-Accelerated Adam |
| copy number variation | gcn.MOPS: Accelerating cn.MOPS with GPU |
| cost-intensive | Predicting high-cost patients by Machine Learning: A case study in an Australian private hospital group |
| Crassostrea virginica | Statistical Analysis of GLCM Texture Features and Microstructures in SEM Images of Crassostrea virginica Exposed to Atrazine |
| d |
| DALIGNER Aligner | DALIGNER Performance Evaluation on Intel Xeon Phi Architecture |
| Decoy generation | Equipping Decoy Generation Algorithms for Template-free Protein Structure Prediction with Maps of the Protein Conformation Space |
| decoy quality | Equipping Decoy Generation Algorithms for Template-free Protein Structure Prediction with Maps of the Protein Conformation Space |
| deep learning | Improving Classification with CNNs using Wavelet Pooling with Nesterov-Accelerated Adam |
| differential equation | Petri nets and ODE as complementary tools in analysis of signaling pathways |
| differential expression | A SVM Model for Candidate Y-chromosome Gene Discovery in Prostate Cancer |
| disordered proteins | Prediction of MoRFs Based on n-gram Convolutional Neural Network |
| DNA | DALIGNER Performance Evaluation on Intel Xeon Phi Architecture |
| Downstream and Upstream Analysis | Prediction Of Novel Pirna Rat Clusters Based On Mouse Pirna Clusters Using Downstream and Upstream Analysis |
| e |
| effective coverage | Understand Effective Coverage by Mapped Reads using Genome Repeat Complexity |
| energy landscape | Connecting Molecular Energy Landscape Analysis with Markov Model-based Analysis of Equilibrium Structural Dynamics |
| evolutionary algorithm | Equipping Decoy Generation Algorithms for Template-free Protein Structure Prediction with Maps of the Protein Conformation Space |
| g |
| gene expression data analysis | Robust Fuzzy Cluster Ensemble on Cancer Gene Expression Data |
| genome alignment | The Polygraph: A Data Structure for Genome Alignment and Variation Detection |
| genome complexity | Understand Effective Coverage by Mapped Reads using Genome Repeat Complexity |
| genomic repeats | Understand Effective Coverage by Mapped Reads using Genome Repeat Complexity |
| GLCM | Statistical Analysis of GLCM Texture Features and Microstructures in SEM Images of Crassostrea virginica Exposed to Atrazine |
| glutathione | Petri nets and ODE as complementary tools in analysis of signaling pathways |
| graph | The Polygraph: A Data Structure for Genome Alignment and Variation Detection |
| h |
| Health | Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles |
| Healthcare | Predicting high-cost patients by Machine Learning: A case study in an Australian private hospital group |
| Healthcare Informatics | Improving Classification with CNNs using Wavelet Pooling with Nesterov-Accelerated Adam |
| High Performance Computing | HPC-BLAST: Distributed BLAST for Modern HPC Clusters. |
| homology | The Polygraph: A Data Structure for Genome Alignment and Variation Detection |
| Host/Device Concurrency | gcn.MOPS: Accelerating cn.MOPS with GPU |
| i |
| Intel Xeon Phi | DALIGNER Performance Evaluation on Intel Xeon Phi Architecture |
| l |
| log fold change | A SVM Model for Candidate Y-chromosome Gene Discovery in Prostate Cancer |
| m |
| machine learning | Predicting high-cost patients by Machine Learning: A case study in an Australian private hospital group |
| Markov state models | Connecting Molecular Energy Landscape Analysis with Markov Model-based Analysis of Equilibrium Structural Dynamics |
| Medical Tests | Improving Classification with CNNs using Wavelet Pooling with Nesterov-Accelerated Adam |
| microarray data | A SVM Model for Candidate Y-chromosome Gene Discovery in Prostate Cancer |
| Microstructural analysis | Statistical Analysis of GLCM Texture Features and Microstructures in SEM Images of Crassostrea virginica Exposed to Atrazine |
| modeling | Petri nets and ODE as complementary tools in analysis of signaling pathways |
| molecular structural dynamics | Connecting Molecular Energy Landscape Analysis with Markov Model-based Analysis of Equilibrium Structural Dynamics |
| MoRFs | Prediction of MoRFs Based on n-gram Convolutional Neural Network |
| motif discovery | Identifying DNA Sequence Motifs of Pdx-1 and NeuroD1 Transcription Factors |
| n |
| n-gram | Prediction of MoRFs Based on n-gram Convolutional Neural Network |
| neural network | Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles |
| NGS | An Enrichment Method For Mapping Ambiguous Reads To Reference Genome For NGS Analysis |
| o |
| oyster | Statistical Analysis of GLCM Texture Features and Microstructures in SEM Images of Crassostrea virginica Exposed to Atrazine |
| p |
| parallel processing | gcn.MOPS: Accelerating cn.MOPS with GPU |
| Pathology | Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles |
| pattern search | Identifying DNA Sequence Motifs of Pdx-1 and NeuroD1 Transcription Factors |
| performance evaluation | DALIGNER Performance Evaluation on Intel Xeon Phi Architecture |
| Petri net | Petri nets and ODE as complementary tools in analysis of signaling pathways |
| PiRNA clusters | Prediction Of Novel Pirna Rat Clusters Based On Mouse Pirna Clusters Using Downstream and Upstream Analysis |
| prediction | Predicting high-cost patients by Machine Learning: A case study in an Australian private hospital group |
| Predictive Analytics | Predicting high-cost patients by Machine Learning: A case study in an Australian private hospital group |
| prostate cancer | A SVM Model for Candidate Y-chromosome Gene Discovery in Prostate Cancer |
| protein expression | A New Look at Codon Usage and Protein Expression |
| public | Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles |
| r |
| reactive oxygen species | Petri nets and ODE as complementary tools in analysis of signaling pathways |
| Respiratory Viral Infection | Comparison of Type I Interferon Expression in Adult and Neonatal Mice during Respiratory Viral Infection |
| s |
| SEM | Statistical Analysis of GLCM Texture Features and Microstructures in SEM Images of Crassostrea virginica Exposed to Atrazine |
| Sendai Virus | Comparison of Type I Interferon Expression in Adult and Neonatal Mice during Respiratory Viral Infection |
| sequence alignment | HPC-BLAST: Distributed BLAST for Modern HPC Clusters. |
| sequence analysis | Identifying DNA Sequence Motifs of Pdx-1 and NeuroD1 Transcription Factors |
| short read alignment | Understand Effective Coverage by Mapped Reads using Genome Repeat Complexity |
| single model | Prediction of MoRFs Based on n-gram Convolutional Neural Network |
| SNP | An Enrichment Method For Mapping Ambiguous Reads To Reference Genome For NGS Analysis |
| structural variants | The Polygraph: A Data Structure for Genome Alignment and Variation Detection |
| Support Vector Machines | A SVM Model for Candidate Y-chromosome Gene Discovery in Prostate Cancer |
| synonymous codons | A New Look at Codon Usage and Protein Expression |
| t |
| t-invariants | Petri nets and ODE as complementary tools in analysis of signaling pathways |
| template-free protein structure prediction | Equipping Decoy Generation Algorithms for Template-free Protein Structure Prediction with Maps of the Protein Conformation Space |
| transposable element | Prediction Of Novel Pirna Rat Clusters Based On Mouse Pirna Clusters Using Downstream and Upstream Analysis |
| tumour | Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles |
| Type I Interferon | Comparison of Type I Interferon Expression in Adult and Neonatal Mice during Respiratory Viral Infection |
| y |
| Y chromosome | A SVM Model for Candidate Y-chromosome Gene Discovery in Prostate Cancer |
