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- GuidedClustering 0.9 – Combined analysis of a Microarray and Experimental data
- Kolmogorov – Compression-based Classification of Biological Sequences and Structures
- GenClust 2.0 – Clustering Gene Expression data
- ValWorkBench 1.0 – Java library for Cluster Validation
- HAC – Hierarchical Agglomerative Clustering for a large-scale Network data
- Genesis 1.7.7 / GenesisServer 1.1.0 – Cluster Analysis of Microarray data
- VISDA 1.0 – Visualization, and Discovery for Cluster Analysis of Genomic data
- LRC – Logistic Regression Model and Clustering Approach
- KegArray 1.2.4 – Microarray Data Analysis & Cluster
- CLAG 2.18.1 – Unsupervised Non Hierarchical Clustering algorithm
- Hammock 1.02 – Hidden Markov Model-based Peptide Clustering algorithm
- FreeView & FreeOView – Gene Expression Dendrogram Viewer & Optimizer
- Furby 3.1.3beta1 – Fuzzy Force-Directed Bicluster Visualization
- TransClust – A Feature-rich Clustering tool for Biomedical Data sets
- Bi-Force v2 – Large-scale Bicluster Editing and its application to Gene Expression data Biclustering
- BiCluE – Weighted Bi-cluster Editing of Biomedical Data
- k-link – EST Clustering Algorithm
- DCAFP – Density-based Clustering Approach with Functional Preferences
- MOCSVM 2 – Multiobjective Clustering with Support Vector Machine
- DGEclust 20150129 – Hierarchical non-parametric Bayesian Clustering of Digital Expression data
- SCUDO – Signature-based Clustering of Expression Profiles
- TimeClust 1.3 – Clustering tool for Gene Expression Time Series
- CLIC – Clustering Large Microarray
- bio-MOSAIC – Multiple Orthologous Sequence Analysis and Integration by Cluster optimization
- GDHC – Nonlinear Hierarchical Clustering
- PFClust – Novel Parameter Free Clustering algorithm
- SNN-Cliq 1.0 – Clustering method for High Dimensional Dataset
- BCCA / ACCA / DCCA – Bi-Correlation / Average Correlation / Divisive Correlation Clustering Algorithm
- MBCluster.Seq 1.0 – Model-Based Clustering for RNA-seq Data
- Starcode 1.0 – All Pairs Search and Sequence Clustering
- ELaSTIC 1.70 – Rapid Identification and Clustering of Similar Sequences
- SCBD – Sequence Clustering based HIV Incident/Chronic Identification
- HTSCluster 2.0.4 – Clustering High Throughput Sequencing (HTS) data
- piClust – Find piRNA Clusters and Transcripts from small RNA-seq data
- Bicluster – Seed-based Biclustering of Gene Expression Data
- geneRxCluster 1.2.0 – Detect Differential Clustering of Genomic Sites
- Mfuzz 2.27.0 – Soft Clustering of Microarray data
- APCluster 1.4.1 – Affinity Propagation Clustering
- FABIA 2.12.0 – Factor Analysis for Bicluster Acquisition
- SiLiX 1.2.9 – Ultra-fast Sequence Clustering from Similarity Networks
- RPMM 1.20 – Recursively Partitioned Mixture Model for Beta and Gaussian Mixtures
- Cluster 3.0 2014.10.07 – Enhanced Version of Cluster
- CLOSET r78 – CLoud Open SequencE clusTering
- pvclust 1.3-2 – Hierarchical Clustering with P-values
- MACML 1.1.2 – Model Averaging Clustering by Maximum Likelihood
- MCL 14-137 / MCL-edge – Cluster Algorithm for Graphs
- MACCU 0.7 – Multi-Array Correlation Computation Utility
- PermutMatrix 1.9.3 – Microarray Data Cluster & Seriation Analysis
- AptaCluster / AptaGUI – Efficient Clustering of HT-SELEX Aptamer Pools
- MUFOLD_CL – Protein Structural Model Clustering
- JustClust – Analysing Biological Data with Cluster Analysis
- SCPS 0.9.8 – Spectral Clustering of Protein Sequences
- Bibit – Biclustering Algorithm for Extracting Bit-Patterns from Binary Datasets
- GenomeCluster 20140824 – Clusters of Genome Elements
- MCAM v9 – Multiple Clustering Analysis Methodology
- QCanvas 1.2.1 – Fast Clustering and Visualization of data
- wDCB – Weighted Constrained Bi-Clustering
- AutoSOME 2.0 – Clustering method for Identifying Gene Expression Modules
- kClust – Clustering of Large Protein Sequence Databases
- UIcluster 3.0.5 – Parallel Clustering of EST (Gene) Sequences
- tlcluster 1.0 – Clustering on Fasta Formatted Sequences
- TBC 1.0 – Taxonomy-Based Clustering
- CAPIU 0.2 – Clustering using A Priori Information via Unsupervised decision trees
- M-pick – Modularity-based Clustering method for OTU picking
- CAGEScan-Clustering – Create CAGEscan Clusters from CAGE paired-end reads
- RECLU 1.0 – Clustering pipeline with multiple scales for Capped Analysis of Gene Expression (CAGE) datasets
- SS-CoSBI – Finding Combinatorial Histone Code by Semi-supervised Biclustering
- CoSBI – Identify Combinatorial Chromatin Modification Patterns across Genomic Loci
- NCIS – Network-Assisted Co-clustering Algorithm to Discover Cancer Subtypes based on Gene Expression
- SPICi – Fast Biological Network Clustering Algorithm
- SP/SS Clustering – Superparamagnetic Clustering and Sequential Superparamagnetic Clustering
- rsgcc 1.0.6 – Gini methodology-based correlation and Clustering analysis of Microarray and RNA-Seq Gene Expression data
- EFC – Evolutionary Fuzzy Clustering
- ESPRIT-Tree 1.2 – Hierarchical Clustering Analysis of Massive Sequence data
- clusterMaker2 0.9.3 – Creat and Visualize Cytoscape Clusters
- CFinder 2.0.6 – Cluster data represented by Large Graphs
- hclust 1.0 – Clustering Expression data with Hopfield Networks
- BCLUST – Assess Reliability of Gene Clusters from Expression Data
- MSClust 20130708 – Clustering 16S rRNA sequences into OTUs
- LUMIWCLUSTER 1.0.2 – Implement Weighted Model based Clustering
- OC 2.1a – Cluster Analysis Program
- McKmeans 0.42 – Multi-core algorithm for Clustering extremely large datasets
- HiFiX 1.0.5 – High-quality Sequence Clustering
- iNJclust – Genotypic data Clustering software
- KAUSTNMF – Non-negative Matrix Factorization by Maximizing Correntropy for Cancer Clustering
- QDB 1.1 – Query Driven Biclustering
- EnsemblQDB – Ensembl Query-based Biclustering
- CrunchClust V43 – Clustering software for 454 Sequence
- SEED 1.5.1 – Clustering Next Generation Sequences
- ClutrFree 1.4 – Cluster Viewer Package
- LCS-HIT 0.5.3 – Sequecence Clustering tool
- Gclust 3.5.5z3 – Genome-wide Clustering
- DomClust – Hierarchical Clustering for Orthologous Domain Classification
- CAGT r132 – Clustering AGgregation Tool
- fuzzyClustering – K-partite Graph Clustering algorithm that allows for Overlapping (Fuzzy) Clusters
- iCluster 2.1.0 / iClusterPlus 0.99.4 – Integrative Clustering of Multiple Genomic Data Types
- BiGGEsTS 1.0.5 – Biclustering Analysis of Time Series Gene Expression Data
- OSCAR 6.1.1 – Open Source Cluster Application Resources
- GWproxy – Clustering Metagenome Short Reads using Weighted Proteins
- Java Treeview 1.1.6r4 – Gene Expression Visualization Tool
- CLEAN 1.3.1 – CLustering Enrichment ANalysis
- ClusterA 1004 – Calculating Silhouette scores for Assessment of SNP Genotype Clusters
- Excavator 2.0 – Gene Expression Data Clustering
- CLCL 1.0 – CLique CLustering
- Treebic 1.11 – Hierarchical Generative Biclustering for MicroRNA Expression Analysis
- Secator/DPC – Sequence Clustering from a Multiple Alignment
- ClusterLustre 1.2 – Consensus Clustering
- SCHype 1.0 – Spectral Clustering in Hypergraphs
- Network Motif Clustering Toolbox 2.0 – Cluster Topological Network Motif
- VI-Cut – find a Clustering that best matches Imperfectly-known Cluster Hints
- Coral – Visualization for Comparing Clusterings
- WCD 0.6.3 – DNA Sequence Clustering tool
- LEB – Localize and Extract Biclusters
- BHC 1.1.0 – Bayesian Hierarchical Clustering for R
- ChAT – Unsupervised algorithm to Search Combinatorial Chromatin Signatures.
- SpaCEM3 2.0 – Spatial Clustering with EM and Markov Model
- EDISA 1.0 – Extracting Biclusters from multiple Time-series of Gene Expression Profiles
- GIMM 3.8 – Gaussian Infinite Mixture Models for Cluster Analysis of Genomics Data
- RAP – Association Analysis Approach to Biclustering
- TriCluster / MicroCluster – Microarray Gene Expression Clustering
- PaCE – Parallel software for Clustering DNA sequences
- pClust 1.0 – Parallel Identification of Dense Protein Clusters
- BALBOA – Extension of Bicluster Analysis to allow for the Functional Classification of ORFs
- dChip 2011.12 – Analysis & Visualization of Gene Expression & SNP Microarrays
- CAFS 1.0 – Cluster of Functional Shifts
- Bimax – Systematic Comparison and Evaluation of Biclustering Methods for Gene Expression Data
- BicAT 2.22 – Biclustering Analysis Toolbox
- WebGimm – Cluster Analysis Server
- MSBE 1.0.5 – Analysis of Gene Expression data using a new bi-clustering method
- generate_oriented_clusters – Single-linkage Clustering of Chromosomal Locations
- LCD – Local Coherence Detection
- SCG 20110716 – Self Consistency Grouping
- HappieClust 1.6.1 – Fast Approximate Hierarchical Clustering using Similarity Heuristics
- GEMS 1.5 – Biclustering Analysis of Expression data
- BiVisu 1.3 – Bicluster Visualization
- Trixy – Cluster of various types of Gene Expression data
- OCG 1.0 – Create Overlapping Class system
- J-Express 2012 – Analysis and Visualization of Microarray Data
- DySC 20120601 – Software for Greedy Clustering of 16S rRNA Reads
- SLP – Single-Linkage Preclustering for improved OTU clustering
- GICL 0.01 – Cluster & Assembly of a large EST/mRNA dataset
- TGICL 2.1 – TGI Clustering Tools
- ClusterViz 0.2 – Cluster Visualisation
- FreClu – Efficient Frequency-based De novo Short Read Clustering
- MITree – Clusterin Algorithm based on a Straightforward Geometric principle
- FunCluster 1.07 – Functional Analysis of Gene Expression data
- CLENCH 2.0 – Calculate Cluster Enrichment using the Gene Ontology
- Mosclust 1.0 – Discovery of Significant Structures in Bio-molecular data
- Clusterv 1.1 – Cluster Validation
- PATTERN CLUSTERING 20060220 – Cluster a set of DNA patterns
- COMUSA – Combining Multiple Clusterings Using Similarity Graph
- relax_bicluster – Bicluster based the Probabilistic Relaxation Labeling Framework
- CLUTO 2.1.2a / gCLUTO 1.0 – Software for Clustering High-Dimensional Datasets
- COGRIM – Clustering of Genes into Regulons using Integrated Modeling
- Spark 1.1.0 – Interactive Cluster Visualization Tool
- ISA 1.0.0 – Iterative Signature Algorithm
- ExpressionView 1.00 – Explore Biclusters Identified in Gene Expression data
- TreeView 1.66 – Cluster Results Visualization Software
- Pathway – Heritable Clustering Algorithms
- ClusterProject 1.0 – Computer Software for Clustering Analysis
- Cleaner 1.03 – Assembly of Informative, Transcript-specific Probe-clusters
- NNN 1.01 – Nearest Neighbor Networks Clustering
- HiDimViewer – Visualization tool for High-dimensional Datasets
- SICER 1.1 – Identification of Enriched Domains from Histone modification ChIP-Seq data
- Local Clustering – Find Timeshifted and/or Inverted Relationships in Gene Expression data
- CROP 1.33 – Clustering 16S rRNA For OTU Prediction
- Modk-Prototypes – Clusters Biological Samples
- QUBIC 1.0 – Biclustering Tool for Microarray Data
- ClusterJudge – Score the Results from any Clustering Algorithm
- CurveSOM – Curve-based Custering of Time Course Expression data
- LAS – Finding Large Average Submatricies in High Dimensional Data
- CLUSPECT 1.0 – Supervised spectral clustering
- CompClust 1.2 – Explore and Quantify Relationships between Clustering Results
- MatrixClust 20080804 – Fuzzy Clustering of a Symmetric Matrix
- GaneSh – Cluster Expression Data by Gibbs sampling procedure
- Diametrical Clustering – Identify Anti-correlated Gene Clusters
- psi-square 1.2 – Search the Space of Gene Vectors
- CRC 1.1 – Dirichlet Process Model-based Cluster
- VIZARD 1.2 – Affymetrix GeneChip® Data Analysis & Visualization
- MAGIC Tool 2.1 – MicroArray Genome Imaging & Clustering Tool
- Venn Mapper 1.01 – Compare Heterologous Microarray Data Sets
- ArrayMiner 5.3 – Microarray Gene Expression Data Analysis
- Samster 2.0 – SAM to Cluster
- AACK 1.0 – Add Annotation
- CAGED 1.1 – Cluster Analysis of Gene Expression Dynamics
- AMIADA 2.0.7 – Analysis of Microarray Data
- MAExplorer 0.96.34.01 – MicroArray Explorer Tool
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