Improving Clinical Prediction of Later Occurrence of Breast Cancer Metastasis Using Deep Learning and Machine Learning with Grid
Multiset sparse partial least squares path modeling for high dimensional omics data analysis | BMC Bioinformatics | Full Text
Frontiers | Deep Learning-Based Structure-Activity Relationship Modeling for Multi-Category Toxicity Classification: A Case Study of 10K Tox21 Chemicals With High-Throughput Cell-Based Androgen Receptor Bioassay Data
PDF) Critical assessment and performance improvement of plant-pathogen protein-protein interaction prediction methods
The language of proteins: NLP, machine learning & protein sequences - ScienceDirect
autoBioSeqpy: A Deep Learning Tool for the Classification of Biological Sequences | Journal of Chemical Information and Modeling
Improved sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning - ScienceDirect
Full article: Machine learning for epigenetics and future medical applications
Improving Clinical Prediction of Later Occurrence of Breast Cancer Metastasis Using Deep Learning and Machine Learning with Grid
Feature Extraction Approaches for Biological Sequences: A Comparative Study of Mathematical Models | bioRxiv
PDF) Recent Advances of Deep Learning in Bioinformatics and Computational Biology
Text mining-based word representations for biomedical data analysis and protein-protein interaction networks in machine learning
A Bird's-Eye View of Deep Learning in Bioimage Analysis
On tower and checkerboard neural network architectures for gene expression inference | BMC Genomics | Full Text
Opportunities and obstacles for deep learning in biology and medicine: 2019 update
Frontiers | iEnhancer-DCSV: Predicting enhancers and their strength based on DenseNet and improved convolutional block attention module
Mozilla PDF | PDF | Deep Learning | Bioinformatics
Frontiers | Recent Advances of Deep Learning in Bioinformatics and Computational Biology
PDF) Machine learning meets genome assembly
PARROT is a flexible recurrent neural network framework for analysis of large protein datasets | eLife
Frontiers | A Brief Review on Deep Learning Applications in Genomic Studies
Characterization and Identification of Lysine Succinylation Sites based on Deep Learning Method | Scientific Reports
Accelerating the design and development of polymeric materials via deep learning: Current status and future challenges: APL Machine Learning: Vol 1, No 2
G2Vec: Distributed gene representations for identification of cancer prognostic genes | Scientific Reports
Data Integration Using Advances in Machine Learning in Drug Discovery and Molecular Biology | SpringerLink
