AIMC Topic: Transcriptome
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Wx: a neural network-based feature selection algorithm for transcriptomic data.
Scientific reports
Jul 19, 2019
Next-generation sequencing (NGS), which allows the simultaneous sequencing of billions of DNA fragments simultaneously, has revolutionized how we study genomics and molecular biology by generating genome-wide molecular maps of molecules of interest. ...
Machine learning approaches to predict lupus disease activity from gene expression data.
Scientific reports
Jul 3, 2019
The integration of gene expression data to predict systemic lupus erythematosus (SLE) disease activity is a significant challenge because of the high degree of heterogeneity among patients and study cohorts, especially those collected on different mi...
A Deep Neural Network for Predicting and Engineering Alternative Polyadenylation.
Cell
Jun 6, 2019
Alternative polyadenylation (APA) is a major driver of transcriptome diversity in human cells. Here, we use deep learning to predict APA from DNA sequence alone. We trained our model (APARENT, APA REgression NeT) on isoform expression data from over ...
Type-2 Fuzzy PCA Approach in Extracting Salient Features for Molecular Cancer Diagnostics and Prognostics.
IEEE transactions on nanobioscience
May 20, 2019
Machine learning is becoming a powerful tool for cancer diagnosis and prognosis based on classification using high dimensional molecular data. However, extracting classification features from high-dimensional datasets remains a challenging problem. P...
Attention-Based Multi-NMF Deep Neural Network with Multimodality Data for Breast Cancer Prognosis Model.
BioMed research international
May 13, 2019
Today, it has become a hot issue in cancer research to make precise prognostic prediction for breast cancer patients, which can not only effectively avoid overtreatment and medical resources waste, but also provide scientific basis to help medical st...
Machine-learning based radiogenomics analysis of MRI features and metagenes in glioblastoma multiforme patients with different survival time.
Journal of cellular and molecular medicine
Apr 18, 2019
BACKGROUND: This study aimed to examine multi-dimensional MRI features' predictability on survival outcome and associations with differentially expressed Genes (RNA Sequencing) in groups of glioblastoma multiforme (GBM) patients.
Aged
Aged, 80 and over
Young Adult
Adult
Survival Rate
Biomarkers, Tumor
Brain Neoplasms
Male
Machine Learning
Algorithms
Prognosis
Female
Glioblastoma
Humans
ROC Curve
Radiographic Image Interpretation, Computer-Assisted
Middle Aged
Genomics
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Transcriptome
Magnetic Resonance Imaging
Adolescent
A directed learning strategy integrating multiple omic data improves genomic prediction.
Plant biotechnology journal
Apr 14, 2019
Genomic prediction (GP) aims to construct a statistical model for predicting phenotypes using genome-wide markers and is a promising strategy for accelerating molecular plant breeding. However, current progress of phenotype prediction using genomic d...
Capsule Network Based Modeling of Multi-omics Data for Discovery of Breast Cancer-Related Genes.
IEEE/ACM transactions on computational biology and bioinformatics
Apr 9, 2019
Breast cancer is one of the most common cancers all over the world, which bring about more than 450,000 deaths each year. Although this malignancy has been extensively studied by a large number of researchers, its prognosis is still poor. Since thera...
Application of a Neural Network Whole Transcriptome-Based Pan-Cancer Method for Diagnosis of Primary and Metastatic Cancers.
JAMA network open
Apr 5, 2019
IMPORTANCE: A molecular diagnostic method that incorporates information about the transcriptional status of all genes across multiple tissue types can strengthen confidence in cancer diagnosis.
Gene Expression Classification of Lung Adenocarcinoma into Molecular Subtypes.
IEEE/ACM transactions on computational biology and bioinformatics
Mar 18, 2019
As one of the most common malignancies in the world, lung adenocarcinoma (LUAD) is currently difficult to cure. However, the advent of precision medicine provides an opportunity to improve the treatment of lung cancer. Subtyping lung cancer plays an ...
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