A risk prediction model of gene signatures in ovarian cancer through bagging of GA-XGBoost models

Breast Cancer Prognosis Using a Machine Learning Approach

(2019) Patrizia Ferroni et al.   Cancers

A Machine Learning Approach for Identifying Gene Biomarkers Guiding the Treatment of Breast Cancer

(2019) Ashraf Abou Tabl et al.   Frontiers in Genetics

An Ensemble Strategy to Predict Prognosis in Ovarian Cancer Based on Gene Modules

(2019) Yi-Cheng Gao et al.   Frontiers in Genetics

PI3K-AKT-mTOR and NFκB Pathways in Ovarian Cancer: Implications for Targeted Therapeutics

(2019) Alia Ghoneum et al.   Cancers

Targeting INHBA in Ovarian Cancer Cells Suppresses Cancer Xenograft Growth by Attenuating Stromal Fibroblast Activation

(2019) Xiaoting Li et al.   DISEASE MARKERS

Machine learning algorithm validation with a limited sample size

(2019) Andrius Vabalas et al.   PLoS One

The positivity of estrogen receptor and progesterone receptor may not be associated with metastasis and recurrence in epithelial ovarian cancer

(2017) Shouzhen Chen et al.   Scientific Reports

Impact of MammaPrint on Clinical Decision-Making in South African Patients with Early-Stage Breast Cancer

(2016) Heinrich Pohl et al.   Breast Journal

Gene Expression Profiles in Myeloma: Ready for the Real World?

(2016) Raphael Szalat et al.   CLINICAL CANCER RESEARCH

Ovarian Cancer, Version 1.2016, NCCN Clinical Practice Guidelines in Oncology

(2016) Robert J. Morgan et al.   Journal of the National Comprehensive Cancer Network

The C-terminus of IGFBP-5 suppresses tumor growth by inhibiting angiogenesis

(2016) Jae Ryoung Hwang et al.   Scientific Reports

Pathology of cancers of the female genital tract

(2015) Jaime Prat   INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS

VAV3 Overexpressed in Cancer Stem Cells Is a Poor Prognostic Indicator in Ovarian Cancer Patients

(2015) Ah-Young Kwon et al.   STEM CELLS AND DEVELOPMENT

The PI3K/Akt/mTOR pathway in ovarian cancer: therapeutic opportunities and challenges

(2015) Bianca Cheaib et al.   Chinese Journal of Cancer

Gene Expression Analysis in Ovarian Cancer – Faults and Hints from DNA Microarray Study

(2014) Katarzyna Marta Lisowska et al.   Frontiers in Oncology

Gene Expression Classification of Colon Cancer into Molecular Subtypes: Characterization, Validation, and Prognostic Value

(2013) Laetitia Marisa et al.   PLOS MEDICINE

The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity

(2012) Jordi Barretina et al.   NATURE

Multi-Gene Expression Predictors of Single Drug Responses to Adjuvant Chemotherapy in Ovarian Carcinoma: Predicting Platinum Resistance

(2012) J. Stuart Ferriss et al.   PLoS One

miR-141 and miR-200a act on ovarian tumorigenesis by controlling oxidative stress response

(2011) Bogdan Mateescu et al.   NATURE MEDICINE

Molecular classification of prostate cancer using curated expression signatures

(2011) E. K. Markert et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Gene Expression Profile ofBRCAness That Correlates With Responsiveness to Chemotherapy and With Outcome in Patients With Epithelial Ovarian Cancer

(2010) Panagiotis A. Konstantinopoulos et al.   JOURNAL OF CLINICAL ONCOLOGY

A Six-Gene Signature Predicts Survival of Patients with Localized Pancreatic Ductal Adenocarcinoma

(2010) Jeran K. Stratford et al.   PLOS MEDICINE

Ovarian carcinoma pathology and genetics: recent advances

(2009) C. Blake Gilks et al.   HUMAN PATHOLOGY

Survival-Related Profile, Pathways, and Transcription Factors in Ovarian Cancer

(2009) Anne P. G Crijns et al.   PLOS MEDICINE

Treatment for Recurrent Ovarian Cancer—At First Relapse

(2009) Kimio Ushijima   Journal of Oncology

Comparison of prognostic gene expression signatures for breast cancer

(2008) Benjamin Haibe-Kains et al.   BMC GENOMICS

A Gene Signature Predicting for Survival in Suboptimally Debulked Patients with Ovarian Cancer

(2008) T. Bonome et al.   CANCER RESEARCH