Příchod minimální Námořník doi 10.1093 bib bbw068 špetka založit Triatlonista
PARROT is a flexible recurrent neural network framework for analysis of large protein datasets | eLife
Characterization and Identification of Lysine Succinylation Sites based on Deep Learning Method | Scientific Reports
Integrated omics: tools, advances and future approaches in: Journal of Molecular Endocrinology Volume 62 Issue 1 (2019)
Improving Clinical Prediction of Later Occurrence of Breast Cancer Metastasis Using Deep Learning and Machine Learning with Grid
Data Integration Using Advances in Machine Learning in Drug Discovery and Molecular Biology | SpringerLink
Multiset sparse partial least squares path modeling for high dimensional omics data analysis | BMC Bioinformatics | Full Text
Improving Clinical Prediction of Later Occurrence of Breast Cancer Metastasis Using Deep Learning and Machine Learning with Grid
Predicting Drug-Induced Liver Injury Using Convolutional Neural Network and Molecular Fingerprint-Embedded Features | ACS Omega
PDF) Recent Advances of Deep Learning in Bioinformatics and Computational Biology
Opportunities and obstacles for deep learning in biology and medicine: 2019 update
Improved sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning - ScienceDirect
autoBioSeqpy: A Deep Learning Tool for the Classification of Biological Sequences | Journal of Chemical Information and Modeling
A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists - Shen - 2018 - Water Resources Research - Wiley Online Library
Deep Learning Accurately Predicts Estrogen Receptor Status in Breast Cancer Metabolomics Data | Journal of Proteome Research
Frontiers | Recent Advances of Deep Learning in Bioinformatics and Computational Biology
Convolutional neural networks (CNNs): concepts and applications in pharmacogenomics | SpringerLink
gammaBOriS: Identification and Taxonomic Classification of Origins of Replication in Gammaproteobacteria using Motif-based Machine Learning | Scientific Reports
PDF) Machine learning meets genome assembly
Frontiers | A Brief Review on Deep Learning Applications in Genomic Studies
Frontiers | Graph Neural Networks and Their Current Applications in Bioinformatics
Feature Extraction Approaches for Biological Sequences: A Comparative Study of Mathematical Models | bioRxiv
PARROT is a flexible recurrent neural network framework for analysis of large protein datasets | eLife
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