Dead-end pages

The following pages do not link to other pages in Benchmark-Wiki.

Showing below up to 84 results in range #21 to #104.

View (previous 100 | next 100) (20 | 50 | 100 | 250 | 500)

21. Catalyst: Fast and flexible modeling of reaction networks
22. Chemometric methods in data processing of mass spectrometry-based metabolomics: A review
23. Comparative evaluation of preprocessing freeware on chromatography/mass spectrometry data for signature discovery
24. Comparative study of classifiers for human microbiome data
25. Comparing gene set analysis methods on single-nucleotide polymorphism data from Genetic Analysis Workshop 16
26. Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data
27. Comparison of peak‐picking workflows for untargeted liquid chromatography/high‐resolution mass spectrometry metabolomics data analysis
28. Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data
29. Comprehensive benchmarking and ensemble approaches for metagenomic classifiers
30. Comprehensive benchmarking of Markov chain Monte Carlo methods for dynamical systems
31. Comprehensive evaluation of untargeted metabolomics data processing software in feature detection, quantification and discriminating marker selection
32. Concepts for Bechmarking Studies:
33. DMR Calling from BSSEQ:
34. DMRcaller: a versatile R/Bioconductor package for detection and visualization of differentially methylated regions in CpG and non-CpG contexts
35. DMRfinder: efficiently identifying differentially methylated regions from MethylC-seq data
36. Data-driven normalization strategies for high-throughput quantitative RT-PCR
37. Data-driven reverse engineering of signaling pathways using ensembles of dynamic models
38. Data processing has major impact on the outcome of quantitative label-free LC-MS analysis
39. Defiant: (DMRs: easy, fast, identification and ANnoTation) identifies differentially Methylated regions from iron-deficient rat hippocampus
40. Denoising the Denoisers: an independent evaluation of microbiome sequence error-correction approaches
41. Detecting and overcoming systematic bias in high-throughput screening technologies: a comprehensive review of practical issues and methodological solutions
42. Distribution-based comprehensive evaluation of methods for differential expression analysis in metatranscriptomics
43. Efficient computation of steady states in large-scale ODE models of biochemical reaction networks
44. Efficient parameterization of large-scale dynamic models based on relative measurements
45. Evaluating supervised and unsupervised background noise correction in human gut microbiome data
46. Evaluation of Derivative-Free Optimizers for Parameter Estimation in Systems Biology
47. Evaluation of preprocessing, mapping and postprocessing algorithms for analyzing whole genome bisulfite sequencing data
48. Evaluation of the microba community profiler for taxonomic profiling of metagenomic datasets from the human gut microbiome
49. Exploration, normalization, and genotype calls of high-density oligonucleotide SNP array data
50. Fast derivatives of likelihood functionals for ODE based models using adjoint-state method
51. Funding
52. Gene set analysis methods: a systematic comparison
53. Guidelines for Summarizing a Literature Study
54. Identification and Correction of Additive and Multiplicative Spatial Biases in Experimental High-Throughput Screening
55. Identifying and quantifying metabolites by scoring peaks of GC-MS data
56. Improved Peak Detection and Deconvolution of Native Electrospray Mass Spectra from Large Protein Complexes
57. Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching
58. LEMMI: a continuous benchmarking platform for metagenomics classifiers
59. Lessons Learned from Quantitative Dynamical Modeling in Systems Biology
60. MS‐Analyzer: preprocessing and data mining services for proteomics applications on the Grid
61. Machine learning methods for predictive proteomics
62. MeltDB: a software platform for the analysis and integration of metabolomics experiment data
63. MetaboAnalyst: a web server for metabolomic data analysis and interpretation
64. MethCP: Differentially Methylated Region Detection with Change Point Models (bioRxiv)
65. Microbiome differential abundance methods produce different results across 38 datasets
66. Mini-batch optimization enables training of ODE models on large-scale datasets
67. Missing value estimation methods for DNA microarrays
68. Missing values in mass spectrometry based metabolomics: an undervalued step in the data processing pipeline
69. Mockrobiota: a public resource for microbiome bioinformatics benchmarking
70. NOREVA: normalization and evaluation of MS-based metabolomics data
71. Normalization regarding non-random missing values in high-throughput mass spectrometry data
72. NormalyzerDE: Online Tool for Improved Normalization of Omics Expression Data and High-Sensitivity Differential Expression Analysis
73. OpenMS: a flexible open-source software platform for mass spectrometry data analysis
74. Optimization and profile calculation of ODE models using second order adjoint sensitivity analysis
75. Optimization and uncertainty analysis of ODE models using second order adjoint sensitivity analysis
76. Optimization of miRNA-seq data preprocessing
77. Parameter Estimation and Variable Selection for Big Systems of Linear Ordinary Differential Equations: A Matrix-Based Approach
78. Parameter estimation in large-scale systems biology models: a parallel and self-adaptive cooperative strategy
79. Parameter estimation in models of biological oscillators: an automated regularised estimation approach
80. Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis
81. Peak alignment using wavelet pattern matching and differential evolution
82. Peakbin selection in mass spectrometry data using a consensus approach with estimation of distribution algorithms
83. Performance Evaluation and Online Realization of Data-driven Normalization Methods Used in LC/MS based Untargeted Metabolomics Analysis
84. Predicting Breast Cancer Survivability Using Data Mining Techniques
85. Preprocessing of tandem mass spectrometric data to support automatic protein identification
86. Prevention, diagnosis and treatment of high-throughput sequencing data pathologies
87. Project 20 Benchmark Problems for Modelling Intracellular Processes
88. Project Imputation in Proteomics
89. Recursive partitioning for missing data imputation in the presence of interaction effects
90. Recursive partitioning for missing data imputation in the presence of interaction effects.
91. Review, evaluation, and discussion of the challenges of missing value imputation for mass spectrometry-based label-free global proteomics
92. Review, evaluation, and discussion of the challenges of missing value imputation for mass spectrometry-based label-free global proteomics.
93. Robust calibration of hierarchical population models for heterogeneous cell populations
94. Scalable Parameter Estimation for Genome-Scale Biochemical Reaction Networks
95. Simultaneous Improvement in the Precision, Accuracy and Robustness of Label-free Proteome Quantification by Optimizing Data Manipulation Chains
96. Software platform for high-throughput glycomics
97. TEMPLATE
98. Test title
99. Testing structural identifiability by a simple scaling method
100. The effects of nonignorable missing data on label-free mass spectrometry proteomics experiments
101. The impact of sample imbalance on identifying differentially expressed genes
102. Toward a gold standard for benchmarking gene set enrichment analysis
103. Tracking for parameter and state estimation in possibly misspecified partially observed linear Ordinary Differential Equations
104. Which missing value imputation method to use in expression profiles: a comparative study and two selection schemes

View (previous 100 | next 100) (20 | 50 | 100 | 250 | 500)