4.7 Article

Pattern recognition in bioinformatics

Related references

Note: Only part of the references are listed.
Article Biochemical Research Methods

Positive-unlabeled learning for disease gene identification

Peng Yang et al.

BIOINFORMATICS (2012)

Article Biochemical Research Methods

Multiple instance learning of Calmodulin binding sites

Fayyaz ul Amir Afsar Minhas et al.

BIOINFORMATICS (2012)

Article Multidisciplinary Sciences

An integrated encyclopedia of DNA elements in the human genome

Ian Dunham et al.

NATURE (2012)

Review Genetics & Heredity

Computational tools for prioritizing candidate genes: boosting disease gene discovery

Yves Moreau et al.

NATURE REVIEWS GENETICS (2012)

Article Biochemical Research Methods

Semi-supervised learning improves gene expression-based prediction of cancer recurrence

Mingguang Shi et al.

BIOINFORMATICS (2011)

Article Biochemical Research Methods

Optimized application of penalized regression methods to diverse genomic data

Levi Waldron et al.

BIOINFORMATICS (2011)

Article Biochemical Research Methods

ProDiGe: Prioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples

Fantine Mordelet et al.

BMC BIOINFORMATICS (2011)

Article Biochemical Research Methods

MAKER2: an annotation pipeline and genome-database management tool for second-generation genome projects

Carson Holt et al.

BMC BIOINFORMATICS (2011)

Article Biochemical Research Methods

Using cross-validation to evaluate predictive accuracy of survival risk classifiers based on high-dimensional data

Richard M. Simon et al.

BRIEFINGS IN BIOINFORMATICS (2011)

Article Biochemical Research Methods

Principal component analysis based methods in bioinformatics studies

Shuangge Ma et al.

BRIEFINGS IN BIOINFORMATICS (2011)

Article Genetics & Heredity

Predicting phenotypic variation in yeast from individual genome sequences

Rob Jelier et al.

NATURE GENETICS (2011)

Article Biochemistry & Molecular Biology

The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored

Damian Szklarczyk et al.

NUCLEIC ACIDS RESEARCH (2011)

Article Biochemical Research Methods

Most Random Gene Expression Signatures Are Significantly Associated with Breast Cancer Outcome

David Venet et al.

PLOS COMPUTATIONAL BIOLOGY (2011)

Article Biochemical Research Methods

Over-optimism in bioinformatics: an illustration

Monika Jelizarow et al.

BIOINFORMATICS (2010)

Article Biochemical Research Methods

Learning gene regulatory networks from only positive and unlabeled data

Luigi Cerulo et al.

BMC BIOINFORMATICS (2010)

Article Biochemical Research Methods

Active learning for human protein-protein interaction prediction

Thahir P. Mohamed et al.

BMC BIOINFORMATICS (2010)

Article Biochemical Research Methods

Active machine learning for transmembrane helix prediction

Hatice U. Osmanbeyoglu et al.

BMC BIOINFORMATICS (2010)

Review Biochemical Research Methods

Visualization of omics data for systems biology

Nils Gehlenborg et al.

NATURE METHODS (2010)

Article Biochemical Research Methods

Evolutionary Optimization of Kernel Weights Improves Protein Complex Comembership Prediction

Marc Hulsman et al.

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2009)

Review Genetics & Heredity

Applying mass spectrometry-based proteomics to genetics, genomics and network biology

Matthias Gstaiger et al.

NATURE REVIEWS GENETICS (2009)

Review Biotechnology & Applied Microbiology

Sequence-based feature prediction and annotation of proteins

Agnieszka S. Juncker et al.

GENOME BIOLOGY (2009)

Article Biochemical Research Methods

Clinically driven semi-supervised class discovery in gene expression data

Israel Steinfeld et al.

BIOINFORMATICS (2008)

Article Biochemical Research Methods

Multidimensional scaling for large genomic data sets

Jengnan Tzeng et al.

BMC BIOINFORMATICS (2008)

Article Biochemical Research Methods

A semi-supervised method for predicting transcription factor-gene interactions in Escherichia coli

Jason Ernst et al.

PLOS COMPUTATIONAL BIOLOGY (2008)

Article Biochemical Research Methods

Support Vector Machines and Kernels for Computational Biology

Asa Ben-Hur et al.

PLOS COMPUTATIONAL BIOLOGY (2008)

Review Biochemical Research Methods

A review of feature selection techniques in bioinformatics

Yvan Saeys et al.

BIOINFORMATICS (2007)

Review Biochemistry & Molecular Biology

The nature of systems biology

Frank J. Bruggeman et al.

TRENDS IN MICROBIOLOGY (2007)

Review Health Care Sciences & Services

Review: A gentle introduction to imputation of missing values

A. Rogier T. Donders et al.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2006)

Article Biochemical Research Methods

Reliable gene signatures for microarray classification:: assessment of stability and performance

Chad A. Davis et al.

BIOINFORMATICS (2006)

Article Multidisciplinary Sciences

Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer

L Ein-Dor et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2006)

Article Biochemical Research Methods

Protein fold recognition using segmentation conditional random fields (SCRFs)

Y Liu et al.

JOURNAL OF COMPUTATIONAL BIOLOGY (2006)

Article Biochemical Research Methods

Gene selection and classification of microarray data using random forest -: art. no. 3

R Díaz-Uriarte et al.

BMC BIOINFORMATICS (2006)

Article Biochemical Research Methods

Classification of microarrays to nearest centroids

AR Dabney

BIOINFORMATICS (2005)

Article Biochemical Research Methods

A protocol for building and evaluating predictors of disease state based on microarray data

LFA Wessels et al.

BIOINFORMATICS (2005)

Review Biochemical Research Methods

Computational cluster validation in post-genomic data analysis

J Handl et al.

BIOINFORMATICS (2005)

Article Medicine, General & Internal

Prediction of cancer outcome with microarrays: a multiple random validation strategy

S Michiels et al.

LANCET (2005)

Article Biochemical Research Methods

Outcome signature genes in breast cancer: is there a unique set?

L Ein-Dor et al.

BIOINFORMATICS (2005)

Article Biochemistry & Molecular Biology

Semi-supervised methods to predict patient survival from gene expression data

E Bair et al.

PLOS BIOLOGY (2004)

Article Biochemical Research Methods

Is cross-validation valid for small-sample microarray classification?

UM Braga-Neto et al.

BIOINFORMATICS (2004)

Article Computer Science, Artificial Intelligence

A survey of outlier detection methodologies

VJ Hodge et al.

ARTIFICIAL INTELLIGENCE REVIEW (2004)

Article Multidisciplinary Sciences

Combining biological networks to predict genetic interactions

SL Wong et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2004)

Article Chemistry, Multidisciplinary

Active learning with support vector machine applied to gene expression data for cancer classification

Y Liu

JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES (2004)

Article Biochemical Research Methods

Gene finding in novel genomes

I Korf

BMC BIOINFORMATICS (2004)

Article Chemistry, Multidisciplinary

Active learning with support vector machines in the drug discovery process

MK Warmuth et al.

JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES (2003)

Review Biotechnology & Applied Microbiology

The use and analysis of microarray data

A Butte

NATURE REVIEWS DRUG DISCOVERY (2002)

Article Multidisciplinary Sciences

Selection bias in gene extraction on the basis of microarray gene-expression data

C Ambroise et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2002)

Article Multidisciplinary Sciences

Diagnosis of multiple cancer types by shrunken centroids of gene expression

R Tibshirani et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2002)

Article Multidisciplinary Sciences

Gene expression profiling predicts clinical outcome of breast cancer

LJ van't Veer et al.

NATURE (2002)

Article Statistics & Probability

Comparison of discrimination methods for the classification of tumors using gene expression data

S Dudoit et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2002)

Review Genetics & Heredity

Computational analysis of microarray data

J Quackenbush

NATURE REVIEWS GENETICS (2001)

Article Statistics & Probability

Estimating the number of clusters in a data set via the gap statistic

R Tibshirani et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2001)

Review Biochemical Research Methods

Assessing the accuracy of prediction algorithms for classification: an overview

P Baldi et al.

BIOINFORMATICS (2000)

Article Mathematics, Interdisciplinary Applications

Bayesian model selection and model averaging

L Wasserman

JOURNAL OF MATHEMATICAL PSYCHOLOGY (2000)