A Multimodal Affinity Fusion Network for Predicting the Survival of Breast Cancer Patients

Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

(2021) Hyuna Sung et al.   CA-A CANCER JOURNAL FOR CLINICIANS

International evaluation of an AI system for breast cancer screening

(2020) Scott Mayer McKinney et al.   NATURE

Integrative Analysis of MicroRNA and Gene Interactions for Revealing Candidate Signatures in Prostate Cancer

(2020) Jingchao Wei et al.   Frontiers in Genetics

The Application of Deep Learning in Cancer Prognosis Prediction

(2020) Wan Zhu et al.   Cancers

SAINT: Self-Attention Augmented Inception-Inside-Inception Network Improves Protein Secondary Structure Prediction

(2020) Mostofa Rafid Uddin et al.   BIOINFORMATICS

A Novel Method for Cancer Subtyping and Risk Prediction Using Consensus Factor Analysis

(2020) Duc Tran et al.   Frontiers in Oncology

Multi-Omics Analysis Detects Novel Prognostic Subgroups of Breast Cancer

(2020) Quang-Huy Nguyen et al.   Frontiers in Genetics

Improving existing analysis pipeline to identify and analyze cancer driver genes using multi-omics data

(2020) Quang-Huy Nguyen et al.   Scientific Reports

Integrated bioinformatics analysis to identify 15 hub genes in breast cancer

(2019) Haoxuan Jin et al.   Oncology Letters

Attention-Based Multi-NMF Deep Neural Network with Multimodality Data for Breast Cancer Prognosis Model

(2019) Hongling Chen et al.   Biomed Research International

Early breast cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up†

(2019) F Cardoso et al.   ANNALS OF ONCOLOGY

Deep learning with multimodal representation for pancancer prognosis prediction

(2019) Anika Cheerla et al.   BIOINFORMATICS

DeepCC: a novel deep learning-based framework for cancer molecular subtype classification

(2019) Feng Gao et al.   Oncogenesis

A multimodal deep neural network for human breast cancer prognosis prediction by integrating multi-dimensional data

(2018) Dongdong Sun et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Drug Response Prediction by Globally Capturing Drug and Cell Line Information in a Heterogeneous Network

(2018) Duc-Hau Le et al.   JOURNAL OF MOLECULAR BIOLOGY

Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

(2018) Freddie Bray et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Hierarchical attention networks for information extraction from cancer pathology reports

(2017) Shang Gao et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Evaluating the molecule-based prediction of clinical drug responses in cancer

(2016) Zijian Ding et al.   BIOINFORMATICS

Improve Glioblastoma Multiforme Prognosis Prediction by Using Feature Selection and Multiple Kernel Learning

(2016) Ya Zhang et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data

(2016) Sergio Ramírez-Gallego et al.   INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

The somatic mutation profiles of 2,433 breast cancers refines their genomic and transcriptomic landscapes

(2016) Bernard Pereira et al.   Nature Communications

Toward understanding and exploiting tumor heterogeneity

(2015) Ash A Alizadeh et al.   NATURE MEDICINE

The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups

(2012) Christina Curtis et al.   NATURE

Copy Number Alterations that Predict Metastatic Capability of Human Breast Cancer

(2009) Y. Zhang et al.   CANCER RESEARCH