4.5 Article Proceedings Paper

On the challenges of predicting treatment response in Hodgkin's Lymphoma using transcriptomic data

Related references

Note: Only part of the references are listed.
Article Health Care Sciences & Services

Predictability of COVID-19 Hospitalizations, Intensive Care Unit Admissions, and Respiratory Assistance in Portugal: Longitudinal Cohort Study

Andre Patricio et al.

Summary: This study highlights the proposed predictive models as good candidates to support medical decisions in the Portuguese population, including both monitoring and in-hospital care decisions. A clinical decision support system is further provided to this end.

JOURNAL OF MEDICAL INTERNET RESEARCH (2021)

Article Biochemical Research Methods

SciPy 1.0: fundamental algorithms for scientific computing in Python

Pauli Virtanen et al.

NATURE METHODS (2020)

Article Computer Science, Artificial Intelligence

A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data

Reinel Tabares-Soto et al.

PEERJ COMPUTER SCIENCE (2020)

Article Biotechnology & Applied Microbiology

RNA-seq assistant: machine learning based methods to identify more transcriptional regulated genes

Likai Wang et al.

BMC GENOMICS (2018)

Article Computer Science, Artificial Intelligence

BSig: evaluating the statistical significance of biclustering solutions

Rui Henriques et al.

DATA MINING AND KNOWLEDGE DISCOVERY (2018)

Review Biochemistry & Molecular Biology

Non-Coding RNAs in Hodgkin Lymphoma

Anna Cordeiro et al.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2017)

Article Biochemical Research Methods

Bon-EV: an improved multiple testing procedure for controlling false discovery rates

Dongmei Li et al.

BMC BIOINFORMATICS (2017)

Article Computer Science, Artificial Intelligence

A structured view on pattern mining-based biclustering

Rui Henriques et al.

PATTERN RECOGNITION (2015)

Article Biochemical Research Methods

A minimum-labeling approach for reconstructing protein networks across multiple conditions

Arnon Mazza et al.

ALGORITHMS FOR MOLECULAR BIOLOGY (2014)

Article Medicine, General & Internal

Tumor-Associated Macrophages and Survival in Classic Hodgkin's Lymphoma

Christian Steidl et al.

NEW ENGLAND JOURNAL OF MEDICINE (2010)

Article Oncology

Report on the First International Workshop on interim-PET scan in lymphoma

Michel Meignan et al.

LEUKEMIA & LYMPHOMA (2009)

Article Biotechnology & Applied Microbiology

Direct multiplexed measurement of gene expression with color-coded probe pairs

Gary K. Geiss et al.

NATURE BIOTECHNOLOGY (2008)

Review Biochemical Research Methods

A review of feature selection techniques in bioinformatics

Yvan Saeys et al.

BIOINFORMATICS (2007)

Article Hematology

Late cardiotoxicity after treatment for Hodgkin lymphoma

Berthe M. P. Aleman et al.

BLOOD (2007)

Article Oncology

Long-term cause-specific mortality of patients treated for Hodgkin's disease

BMP Aleman et al.

JOURNAL OF CLINICAL ONCOLOGY (2003)

Article Radiology, Nuclear Medicine & Medical Imaging

Cost-effectiveness of FDG-PET in staging non-small cell lung cancer: the PLUS study

P Verboom et al.

EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2003)

Article Biochemistry & Molecular Biology

Gene expression profiling defines molecular subtypes of classical Hodgkin's disease

E Devilard et al.

ONCOGENE (2002)

Article Computer Science, Artificial Intelligence

Gene selection for cancer classification using support vector machines

I Guyon et al.

MACHINE LEARNING (2002)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)

Article Multidisciplinary Sciences

Knowledge-based analysis of microarray gene expression data by using support vector machines

MPS Brown et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2000)