Citation Impact
Citing Papers
Image and data mining in reticular chemistry powered by GPT-4V
2024 StandoutNobel
ENNET: inferring large gene regulatory networks from expression data using gradient boosting
2013
Genome-wide features of neuroendocrine regulation in Drosophila by the basic helix-loop-helix transcription factor DIMMED
2015 StandoutNobel
Transcriptional regulatory networks underlying gene expression changes in Huntington's disease
2018
DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants
2016 Standout
Advantages and limitations of current network inference methods
2010
Graph convolutional networks: a comprehensive review
2019 Standout
SCENIC: single-cell regulatory network inference and clustering
2017 Standout
The Human Transcription Factors
2018 Standout
Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
2015 Standout
dbAARD & AGP: A computational pipeline for the prediction of genes associated with age related disorders
2016
Dual graph convolutional neural network for predicting chemical networks
2020
Data Mining Algorithms and Techniques in Mental Health: A Systematic Review
2018 Standout
Microbial interactions: from networks to models
2012 Standout
Wisdom of crowds for robust gene network inference
2012
Artificial intelligence in drug development: present status and future prospects
2018 Standout
Pattern recognition in bioinformatics
2013
Applications of machine learning in drug discovery and development
2019 Standout
Gene regulatory network inference: Data integration in dynamic models—A review
2008
Absence of a simple code: how transcription factors read the genome
2014
In silico prediction of novel therapeutic targets using gene–disease association data
2017
A GPT‐4 Reticular Chemist for Guiding MOF Discovery**
2023 StandoutNobel
A Survey on Multi-Task Learning
2021
Immuno-Navigator, a batch-corrected coexpression database, reveals cell type-specific gene networks in the immune system
2016 StandoutNobel
Deep Learning for Health Informatics
2016 Standout
A Comprehensive Survey on Transfer Learning
2020 Standout
Enhancing Decision Tree with AdaBoost for Predicting Schizophrenia Readmission
2014
SwissTargetPrediction: updated data and new features for efficient prediction of protein targets of small molecules
2019 Standout
Prediction of Synthesis of 2D Metal Carbides and Nitrides (MXenes) and Their Precursors with Positive and Unlabeled Machine Learning
2019
Mining Insights on Metal–Organic Framework Synthesis from Scientific Literature Texts
2022
An overview of multi-task learning
2017
Similarity-based machine learning methods for predicting drug–target interactions: a brief review
2013
The world of two-dimensional carbides and nitrides (MXenes)
2021 StandoutScience
Definitions, methods, and applications in interpretable machine learning
2019 Standout
A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects
2017 Standout
Estimation Stability With Cross-Validation (ESCV)
2015
ChatGPT Chemistry Assistant for Text Mining and the Prediction of MOF Synthesis
2023 StandoutNobel
TFBSshape: a motif database for DNA shape features of transcription factor binding sites
2013
Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model
2016
Protein–DNA binding: complexities and multi-protein codes
2013
A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development
2023 Standout
Works of Fantine Mordelet being referenced
ProDiGe: Prioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples
2011
Stability selection for regression-based models of transcription factor–DNA binding specificity
2013
TIGRESS: Trustful Inference of Gene REgulation using Stability Selection
2012
A bagging SVM to learn from positive and unlabeled examples
2013
SIRENE: supervised inference of regulatory networks
2008