ArticleJournal of molecular cell biology2020
Modern deep learning in bioinformatics.
Article in Journal of molecular cell biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed.
- Fetal bovine serum: how to leave it behind in the pursuit of more reliable science.Frontiers in toxicology · 2025Review
- Visualization Methods for DNA Sequences: A Review and Prospects.Biomolecules · 2024Review
- Genome-wide identification and molecular evolution of elongation family of very long chain fatty acids proteins in Cyrtotrachelus buqueti.BMC genomics · 2024Article
- Deep-Learning Model for Tumor-Type Prediction Using Targeted Clinical Genomic Sequencing Data.Cancer discovery · 2024Article
- RNAelem: an algorithm for discovering sequence-structure motifs in RNA bound by RNA-binding proteins.Bioinformatics advances · 2024Article
- Artificial intelligence and machine learning applications for cultured meat.Frontiers in artificial intelligence · 2024Review
- A novel method for identifying key genes in macroevolution based on deep learning with attention mechanism.Scientific reports · 2023Article
- iDHS-FFLG: Identifying DNase I Hypersensitive Sites by Feature Fusion and Local-Global Feature Extraction Network.Interdisciplinary sciences, computational life sciences · 2023Article
- Con-AAE: contrastive cycle adversarial autoencoders for single-cell multi-omics alignment and integration.Bioinformatics (Oxford, England) · 2023Article
- Enzyme Commission Number Prediction and Benchmarking with Hierarchical Dual-core Multitask Learning Framework.Research (Washington, D.C.) · 2023Article
- Recent Application of Artificial Intelligence in Non-Gynecological Cancer Cytopathology: A Systematic Review.Cancers · 2022Review
- ACPNet: A Deep Learning Network to Identify Anticancer Peptides by Hybrid Sequence Information.Molecules (Basel, Switzerland) · 2022Article
- Implications of disease-related mutations at protein-protein interfaces.Current opinion in structural biology · 2022Review
- Protein-RNA interaction prediction with deep learning: structure matters.Briefings in bioinformatics · 2022Article
- DeepLRR: An Online Webserver for Leucine-Rich-Repeat Containing Protein Characterization Based on Deep Learning.Plants (Basel, Switzerland) · 2022Article
- Crop genomic selection with deep learning and environmental data: A survey.Frontiers in artificial intelligence · 2022Review
- Learning Strategies in Protein Directed Evolution.Methods in molecular biology (Clifton, N.J.) · 2022Review
- Predicting environmentally responsive transgenerational differential DNA methylated regions (epimutations) in the genome using a hybrid deep-machine learning approach.BMC bioinformatics · 2021Article
- Spliceator: multi-species splice site prediction using convolutional neural networks.BMC bioinformatics · 2021Article
- Leveraging the attention mechanism to improve the identification of DNA N6-methyladenine sites.Briefings in bioinformatics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.