Citation Impact
Citing Papers
Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes
2009 Standout
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
2011 Standout
Statistical significance for genomewide studies
2003 Standout
Large Margin Methods for Structured and Interdependent Output Variables
2005 Standout
EP-GIG priors and applications in bayesian sparse learning
2012
Variable selection using svm based criteria
2003
WGCNA: an R package for weighted correlation network analysis
2008 Standout
Inference and analysis of cell-cell communication using CellChat
2021 Standout
Quantitative Proteomics Identifies Serum Response Factor Binding Protein 1 as a Host Factor for Hepatitis C Virus Entry
2015 StandoutNobel
Prediction of amphipathic in-plane membrane anchors in monotopic proteins using a SVM classifier
2006
Fast and accurate protein structure search with Foldseek
2023 Standout
antiSMASH 7.0: new and improved predictions for detection, regulation, chemical structures and visualisation
2023 Standout
Specificity prediction of adenylation domains in nonribosomal peptide synthetases (NRPS) using transductive support vector machines (TSVMs)
2005
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
2015 Standout
Sparse Subspace Clustering: Algorithm, Theory, and Applications
2013 Standout
Sequence comparison and protein structure prediction
2006
Sparse logistic regression for whole-brain classification of fMRI data
2010
ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software
2014 Standout
Supervised classification of human microbiota
2010
ilastik: interactive machine learning for (bio)image analysis
2019 Standout
antiSMASH: rapid identification, annotation and analysis of secondary metabolite biosynthesis gene clusters in bacterial and fungal genome sequences
2011 Standout
Hybrid computing using a neural network with dynamic external memory
2016 StandoutNatureNobel
The Molecular Signatures Database Hallmark Gene Set Collection
2015 Standout
Molecular Insights into the Biosynthesis of Guadinomine: A Type III Secretion System Inhibitor
2012 StandoutNobel
The WU-Minn Human Connectome Project: An overview
2013 Standout
Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity
2015 Standout
HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment
2011 Standout
Protein sequence comparison and fold recognition: progress and good-practice benchmarking
2011
The Impact of the Gut Microbiota on Human Health: An Integrative View
2012 Standout
Gut metagenome in European women with normal, impaired and diabetic glucose control
2013 StandoutNature
Methods to detect, characterize, and remove motion artifact in resting state fMRI
2013 Standout
Dynamic functional connectivity: Promise, issues, and interpretations
2013 Standout
Multi-level bootstrap analysis of stable clusters in resting-state fMRI
2010
A multi-modal parcellation of human cerebral cortex
2016 StandoutNature
A prediction-based resampling method for estimating the number of clusters in a dataset
2002
Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies
2011 Standout
Sparse multinomial logistic regression: fast algorithms and generalization bounds
2005
Microbiota Modulate Behavioral and Physiological Abnormalities Associated with Neurodevelopmental Disorders
2013 Standout
Network propagation: a universal amplifier of genetic associations
2017
The influence of head motion on intrinsic functional connectivity MRI
2011 Standout
Tracking-Learning-Detection
2011 Standout
Obesity is associated with macrophage accumulation in adipose tissue
2003 Standout
Functional Network Organization of the Human Brain
2011 Standout
Probing Protein Fold Space with a Simplified Model
2007 StandoutNobel
Tensor Regression with Applications in Neuroimaging Data Analysis
2013 Standout
Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments
2014 Standout
The architectonic fold similarity network in protein fold space
2006
Regularization Paths for Generalized Linear Models via Coordinate Descent.
2010 Standout
Variable selection using random forests
2010 Standout
Community detection in graphs
2009 Standout
Search-based structured prediction
2009
Continuous Prediction of Spontaneous Affect from Multiple Cues and Modalities in Valence-Arousal Space
2011
Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data
2003
From patterns to pathways: gene expression data analysis comes of age
2002
OpenOrd: an open-source toolbox for large graph layout
2011
Toward the estimation of the absolute quality of individual protein structure models
2010 Standout
Stability-Based Validation of Clustering Solutions
2004
Comparing clusterings—an information based distance
2006
Machine Learning and Its Applications to Biology
2007
ConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking
2010 Standout
Obesity is associated with macrophage accumulation in adipose tissue
2003 Standout
Semi-Supervised Learning
2006 Standout
Random forest in remote sensing: A review of applications and future directions
2016 Standout
Data clustering: 50 years beyond K-means
2009 Standout
A SURVEY OF CLUSTERING ENSEMBLE ALGORITHMS
2011
A tutorial on spectral clustering
2007 Standout
The STRING database in 2021: customizable protein–protein networks, and functional characterization of user-uploaded gene/measurement sets
2020 Standout
A Model of Text for Experimentation in the Social Sciences
2016 Standout
Multimodal Machine Learning: A Survey and Taxonomy
2018 Standout
The organization of the human cerebellum estimated by intrinsic functional connectivity
2011 Standout
A review of feature selection techniques in bioinformatics
2007 Standout
Caenorhabditis elegans responses to bacteria from its natural habitats
2016 StandoutNobel
Ensemble learning: A survey
2018 Standout
Works of André Elisseeff being referenced
Protein ranking: From local to global structure in the protein similarity network
2004
A stability based method for discovering structure in clustered data
2001
Use of the zero norm with linear models and kernel methods
2003
Feature selection and transduction forprediction of molecular bioactivity for drug design
2003
Semi-supervised protein classification using cluster kernels
2005
Combining protein secondary structure prediction models with ensemble methods of optimal complexity
2003
Kernel Dependency Estimation
2002