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Computational Biology Bio Informatics

IEEE Projects :: Computational Biology and Bio Informatics – Titles & Abstracts


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IEEE Titles 2012 :: Computational Biology and Bio Informatics

1

A Biologically Inspired Validity Measure for Comparison of Clustering Methods over Metabolic Data Sets

2

A Co-Clustering Approach for Mining Large Protein-Protein Interaction Networks

3

A Comparative Study on Filtering Protein Secondary Structure Prediction

4

A Computational Model for Predicting Protein Interactions Based on Multidomain Collaboration

5

A Framework for Incorporating Functional Interrelationships into Protein Function Prediction Algorithms

6

A Hybrid Approach to Survival Model Building Using Integration of Clinical and Molecular Information in Censored Data

7

A Hybrid EKF and Switching PSO Algorithm for Joint State and Parameter Estimation of Lateral Flow Immunoassay Models

8

A Memory Efficient Method for Structure-Based RNA Multiple Alignment

9

A Metric for Phylogenetic Trees Based on Matching

10

A Probabilistic Scheme for Keyword-Based Incremental Query Construction

11

A New Efficient Data Structure for Storage and Retrieval of Multiple Biosequences

12

A New Unsupervised Feature Ranking Method for Gene Expression Data Based on Consensus Affinity

13

A Sparse Regulatory Network of Copy-Number Driven Gene Expression Reveals Putative Breast Cancer Oncogenes

14

A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis

15

A Swarm Intelligence Framework for Reconstructing Gene Networks: Searching for Biologically Plausible Architectures

16

A Top-r Feature Selection Algorithm for Microarray Gene Expression Data

17

Algorithms for Reticulate Networks of Multiple Phylogenetic Trees

18

Algorithms to Detect Multi-protein Modularity Conserved during Evolution

19

An Efficient Algorithm for Haplotype Inferenceon Pedigrees with Recombinations and Mutations

20

An Efficient Method for Exploring the Space of Gene Tree/Species Tree Reconciliations in a Probabilistic Framework

21

An Efficient Method for Modeling Kinetic Behavior of Channel Proteins in Cardiomyocytes

22

An Information Theoretic Approach to Constructing Robust Boolean Gene Regulatory Networks

23

Antilope—A Lagrangian Relaxation Approach to the de novo Peptide Sequencing Problem

24

Assortative Mixing in Directed Biological Networks

25

BpMatch: An Efficient Algorithm for a Segmental Analysis of Genomic Sequences

26

Clustering 100,000 Protein Structure Decoysin Minutes

27

Composition Vector Method Based on Maximum Entropy Principle for Sequence Comparison

28

Constructing and Drawing Regular Planar Split Networks

29

Constructing Complex 3D Biological Environments from Medical Imaging Using High Performance Computing

30

CSD Homomorphisms between Phylogenetic Networks

31

Designing Filters for Fast-Known NcRNA Identification

32

Detection of Outlier Residues for Improving Interface Prediction in Protein Heterocomplexes

33

DICLENS: Divisive Clustering Ensemble with Automatic Cluster Number

34

Disease Liability Prediction from Large Scale Genotyping Data Using Classifiers with a Reject Option

35

Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning

36

Efficient Approaches for Retrieving Protein Tertiary Structures

37

Efficient Genotype Eliminationvia Adaptive Allele Consolidation

38

Efficient Maximal Repeat Finding Using the Burrows-Wheeler Transform and Wavelet Tree

39

Eigen-Genomic System Dynamic-Pattern Analysis (ESDA): Modeling mRNA Degradation and Self-Regulation

40

Empirical Evidence of the Applicability of Functional Clustering through Gene Expression Classification

41

Exploiting Intrastructure Information for Secondary Structure Prediction with Multifaceted Pipelines

42

Exploiting the Functional and Taxonomic Structure of Genomic Data by Probabilistic Topic Modeling

43

Fast Local Search for Unrooted Robinson-Foulds Supertrees

44

Extending Attribute Information for Small Data Set Classification

45

Fast Parallel Markov Clustering in Bioinformatics Using Massively Parallel Computing on GPU with CUDA and ELLPACK-R Sparse Format

46

Faster Mass Spectrometry-Based Protein Inference: Junction Trees Are More Efficient than Sampling and Marginalization by Enumeration

47

Gene Classification Using Parameter-Free Semi-Supervised Manifold Learning

48

GSGS: A Computational Approach to Reconstruct Signaling Pathway Structures from Gene Sets

49

Hash Subgraph Pairwise Kernel for Protein-Protein Interaction Extraction

50

Identification of Differentially Expressed Genes for Time-Course Microarray Data Based on Modified RM ANOVAOla ElBakry,

51

Identification of Essential Proteins Based on Edge Clustering Coefficient

52

Identifying Bacterial Virulent Proteins by Fusing a Set of Classifiers Based on Variants of Chou’s Pseudo Amino Acid Composition and on Evolutionary Information

53

Identifying Gene Pathways Associated with Cancer Characteristics via Sparse Statistical Methods

54

Inference of Biological S-System Using the Separable Estimation Method and the Genetic Algorithm

55

Inferring Gene Regulatory Networks via Nonlinear State-Space Models and Exploiting Sparsity

56

Inferring the Number of Contributors to Mixed DNA Profiles

57

Intervention in Gene Regulatory Networks viaPhenotypically Constrained Control PoliciesBased on Long-Run Behavior

58

Iterative Dictionary Construction for Compression of Large DNA Data Sets

59

k-Information Gain Scaled Nearest Neighbors:A Novel Approach to Classifying Protein-Protein Interaction-Related Documents

60

Markov Invariants for Phylogenetic Rate Matrices Derived from Embedded Submodels

61

Matching Split Distance for Unrooted Binary Phylogenetic Trees

62

Memory Efficient Algorithms for Structural Alignment of RNAs with Pseudoknots

63

MinePhos: A Literature Mining System for Protein Phoshphorylation Information Extraction

64

Molecular Dynamics Trajectory Compressionwith a Coarse-Grained Model

65

Multiobjective Optimization Based-Approach forDiscovering Novel Cancer Therapies

66

Multiscale Binarization of Gene Expression Data for Reconstructing Boolean Networks

67

Mutual Information Optimization for Mass Spectra Data Alignment

68

On the Deep Order-Preserving Submatrix Problem: A Best Effort Approach

69

On Complexity of Protein Structure Alignment Problem under Distance Constraint

70

On Parameter Synthesis by Parallel Model Checking

71

On the Application of Active Learning and Gaussian Processes in Postcryo preservation Cell Membrane Integrity Experiments

72

On the Elusiveness of Clusters

73

Optimizing Phylogenetic Networks for Circular Split Systems

74

Output-Sensitive Algorithms for Finding the Nested Common Intervals of Two General Sequences

75

Parallelized Evolutionary Learning for Detection of Biclusters in Gene Expression Data

76

Parameter Estimation Using Metaheuristics in Systems Biology: A Comprehensive Review

77

Peptide Reranking with Protein-Peptide Correspondence and Precursor Peak Intensity Information

78

Predicting Ligand Binding Residues and Functional Sites Using Multipositional Correlations with Graph Theoretic Clustering and Kernel CCA

79

Predicting Metal-Binding Sites from Protein Sequence

80

Predicting Protein Function by Multi-Label Correlated Semi-Supervised Learning

81

Protein Complexes Discovery Based on Protein-Protein Interaction Data via a Regularized Sparse Generative Network Model

82

Quantifying Dynamic Stability of Genetic Memory Circuits

83

Quantitative Analysis of the Self-Assembly Strategies of Intermediate Filaments from Tetrameric Vimentin

84

Quantum Gate Circuit Model of Signal Integration in Bacterial Quorum Sensing

85

Refining Regulatory Networks through Phylogenetic Transfer of Information

86

RENNSH: A Novel α-Helix Identification Approach for Intermediate Resolution Electron Density Maps

87

Residues with Similar Hexagon Neighborhoods Share Similar Side-Chain Conformations

88

Reverse Engineering and Analysis of Genome-Wide Gene Regulatory Networks from Gene Expression Profiles Using High-Performance Computing

89

Robust Classification Method of Tumor Subtype by Using Correlation Filters

90

Scaffold Filling under the Break point and Related Distances

91

SimBioNeT: A Simulator of Biological Network Topology

92

Smoldyn on Graphics Processing Units: Massively Parallel Brownian Dynamics Simulations

93

Smolign: A Spatial Motifs-Based Protein Multiple Structural Alignment Method

94

Stable Gene Selection from Microarray Data via Sample Weighting

95

Stochastic Gene Expression Modeling with Hill Function for Switch-Like Gene Responses

97

Structural SCOP Super family Level Classification Using Unsupervised Machine Learning

98

Subcellular Localization Prediction through Boosting Association Rules

99

The Complexity of Finding Multiple Solutions to Betweenness and Quartet Compatibility

100

The GA and the GWAS: Using Genetic Algorithms to Search for Multilocus Associations

101

The Impact of Normalization and Phylogenetic Information on Estimating the Distancefor Metagenomes

102

The Kernel of Maximum Agreement Subtrees

103

The LASSO and Sparse Least Squares Regression Methods for SNP Selection in Predicting Quantitative Traits

104

The Relevance of Topology in Parallel Simulation of Biological Networks

105

Touring Protein Space with Matt

106

Transactional Database Transformation and Its Application in Prioritizing Human Disease Genes

107

Transient Dynamics of Reduced-Order Models of Genetic Regulatory Networks

108

TUsing GPUs for the Exact Alignment of Short-Read Genetic Sequences by Means of the Burrows-Wheeler Transform

october, 2017

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