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Gene-based comparative analysis of tools for estimating copy number alterations using whole-exome sequencing data
Histone methyltransferase
Identification of Biomarkers for Breast Cancer Using Databases
Probabilistic Programming and Bayesian Methods for Hackers
MEDICI: Mining Essentiality Data to Identify Critical Interactions for Cancer Drug Target Discovery and Development
Practical guidelines for the comprehensive analysis of ChIP-seq data
Love Always Finds a Reason
Meta-analysis of the global gene expression profile of triple-negative breast cancer identifies genes for the prognostication and treatment of aggressive breast cancer
An integrative approach to reveal driver gene fusions from paired-end sequencing data in cancer
Canis lupus familiaris
Genetic alterations of histone lysine methyltransferases and their significance in breast cancer
SAAS-CNV: A Joint Segmentation Approach on Aggregated and Allele Specific Signals for the Identification of Somatic Copy Number Alterations with Next-Generation Sequencing Data
Breast cancer epigenetics: from DNA methylation to microRNAs
Euler's formula
Cancer-specific defects in DNA repair pathways as targets for personalized therapeutic approaches
Data Analysis for Genomics
An evaluation of copy number variation detection tools from whole-exome sequencing data
Comparative assessment of methods for the fusion transcripts detection from RNA-Seq data
Evaluation of somatic copy number estimation tools for whole-exome sequencing data
Canis familiaris
Data Analysis for Life Sciences
Evaluation of Transfer Learning with Deep Convolutional Neural Networks for Screening Osteoporosis in Dental Panoramic Radiographs
Identification of cancer-driver genes in focal genomic alterations from whole genome sequencing data
Genomic portrait of resectable hepatocellular carcinomas: implications of RB1 and FGF19 aberrations for patient stratification
Data transfer
Histone acetyltransferase
Cancer genomics: from discovery science to personalized medicine
Is the future of personalized therapy in triple-negative breast cancer based on molecular subtype
dbNSFP
Comparative analysis of algorithms for identifying amplifications and deletions in array CGH data
Next generation sequencing of triple negative breast cancer to find predictors for chemotherapy response
A framework for organizing cancer-related variations from existing databases, publications and NGS data using a High-performance Integrated Virtual Environment (HIVE)
Computational methods for detecting copy number variations in cancer genome using next generation sequencing