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Circulating cell-free DNA in breast cancer: size profiling, levels, and methylation patterns lead to prognostic and predictive classifiers

Oncogene, 2019-05, Vol.38 (18), p.3387-3401

2019

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Extending greedy feature selection algorithms to multiple solutions

Data mining and knowledge discovery, 2021-07, Vol.35 (4), p.1393-1434

2021

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Feature Selection with the R Package MXM : Discovering Statistically Equivalent Feature Subsets

Journal of statistical software, 2017-09, Vol.80 (7), p.1-25

2017

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Feature selection for high-dimensional temporal data

BMC bioinformatics, 2018-01, Vol.19 (1), p.17-17, Article 17

2018

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The max-min hill-climbing Bayesian network structure learning algorithm

Machine learning, 2006-10, Vol.65 (1), p.31-78

2006

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Automated machine learning optimizes and accelerates predictive modeling from COVID-19 high throughput datasets

Scientific reports, 2021-07, Vol.11 (1), p.15107-15107, Article 15107

2021

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MatureBayes: a probabilistic algorithm for identifying the mature miRNA within novel precursors

PloS one, 2010-08, Vol.5 (8), p.e11843-e11843

2010

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Credit Card Fraud Detection with Automated Machine Learning Systems

Applied artificial intelligence, 2022-12, Vol.36 (1)

2022

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A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis

Bioinformatics, 2005-03, Vol.21 (5), p.631-643

2005

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A meta-level analysis of online anomaly detectors

The VLDB journal, 2023-07, Vol.32 (4), p.845-886

2023

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Predicting Causal Relationships from Biological Data: Applying Automated Causal Discovery on Mass Cytometry Data of Human Immune Cells

Scientific reports, 2017-10, Vol.7 (1), p.12724-11, Article 12724

2017

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MatureP: prediction of secreted proteins with exclusive information from their mature regions

Scientific reports, 2017-06, Vol.7 (1), p.3263-12, Article 3263

2017

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Prediction of outcome in patients with non-small cell lung cancer treated with second line PD-1/PDL-1 inhibitors based on clinical parameters: Results from a prospective, single institution study

PloS one, 2021-06, Vol.16 (6), p.e0252537

2021

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A machine learning approach utilizing DNA methylation as an accurate classifier of COVID-19 disease severity

Scientific reports, 2022-10, Vol.12 (1), p.17480-17480, Article 17480

2022

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Chemically intuited, large-scale screening of MOFs by machine learning techniques

npj computational materials, 2017-10, Vol.3 (1), p.1-7, Article 40

2017

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Somatic copy number aberrations detected in circulating tumor DNA can hold diagnostic value for early detection of hepatocellular carcinoma

EBioMedicine, 2020-07, Vol.57, p.102851-102851, Article 102851

2020

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MiRduplexSVM: A High-Performing MiRNA-Duplex Prediction and Evaluation Methodology

PloS one, 2015-05, Vol.10 (5), p.e0126151-e0126151

2015

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omicsNPC: Applying the Non-Parametric Combination Methodology to the Integrative Analysis of Heterogeneous Omics Data

PloS one, 2016-11, Vol.11 (11), p.e0165545-e0165545

2016

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Tissue-Specific Methylation Biosignatures for Monitoring Diseases: An In Silico Approach

International journal of molecular sciences, 2022-03, Vol.23 (6), p.2959

2022

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Correction: Prediction of outcome in patients with non-small cell lung cancer treated with second line PD-1/PDL-1 inhibitors based on clinical parameters: Results from a prospective, single institution study

PloS one, 2023-11, Vol.18 (11), p.e0294382-e0294382

2023

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Feature selection with the R package MXM [version 2; peer review: 2 approved]

F1000 research, 2019, Vol.7, p.1505

2019

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Just Add Data: automated predictive modeling for knowledge discovery and feature selection

NPJ precision oncology, 2022-06, Vol.6 (1), p.38-38, Article 38

2022

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STATegra: Multi-Omics Data Integration - A Conceptual Scheme With a Bioinformatics Pipeline

Frontiers in genetics, 2021-03, Vol.12, p.620453

2021

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A unified approach for sparse dynamical system inference from temporal measurements

Bioinformatics, 2019-09, Vol.35 (18), p.3387-3396

2019

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Circulating cell-free DNA in breast cancer: size profiling, levels, and methylation patterns lead to prognostic and predictive classifiers

Extending greedy feature selection algorithms to multiple solutions

Feature Selection with the R Package MXM : Discovering Statistically Equivalent Feature Subsets

Feature selection for high-dimensional temporal data

Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment

The max-min hill-climbing Bayesian network structure learning algorithm

Automated machine learning optimizes and accelerates predictive modeling from COVID-19 high throughput datasets

MatureBayes: a probabilistic algorithm for identifying the mature miRNA within novel precursors

Credit Card Fraud Detection with Automated Machine Learning Systems

A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis

A meta-level analysis of online anomaly detectors

Predicting Causal Relationships from Biological Data: Applying Automated Causal Discovery on Mass Cytometry Data of Human Immune Cells

MatureP: prediction of secreted proteins with exclusive information from their mature regions

Prediction of outcome in patients with non-small cell lung cancer treated with second line PD-1/PDL-1 inhibitors based on clinical parameters: Results from a prospective, single institution study

A machine learning approach utilizing DNA methylation as an accurate classifier of COVID-19 disease severity

Chemically intuited, large-scale screening of MOFs by machine learning techniques

Somatic copy number aberrations detected in circulating tumor DNA can hold diagnostic value for early detection of hepatocellular carcinoma

MiRduplexSVM: A High-Performing MiRNA-Duplex Prediction and Evaluation Methodology

omicsNPC: Applying the Non-Parametric Combination Methodology to the Integrative Analysis of Heterogeneous Omics Data

Tissue-Specific Methylation Biosignatures for Monitoring Diseases: An In Silico Approach

Correction: Prediction of outcome in patients with non-small cell lung cancer treated with second line PD-1/PDL-1 inhibitors based on clinical parameters: Results from a prospective, single institution study

Feature selection with the R package MXM [version 2; peer review: 2 approved]

Just Add Data: automated predictive modeling for knowledge discovery and feature selection

STATegra: Multi-Omics Data Integration - A Conceptual Scheme With a Bioinformatics Pipeline

A unified approach for sparse dynamical system inference from temporal measurements

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