NDLI: Using Network Alignment for Analysis of Connectomes: Experiences from a Clinical Dataset

Please wait, while we are loading the content...

TOMAS: A novel TOpology-aware Meta-Analysis approach applied to System biology

Integrated Identification of Disease-Gene Links and their Utility in Next-Generation Sequencing Interpretation

Sparse Feature Selection for Classification and Prediction of Metastasis in Endometrial Cancer: Extended Abstract

Exploration of regression models for cancer noncoding mutation recurrence

Using a Semi-Automated Modeling Environment to Construct a Bayesian, Sepsis Diagnostic System

Sub-network Based Kernels for Brain Network Classification

High-performance data structures for de novo assembly of genomes: cache oblivious generic programming

A Multi-Objective Flow Cytometry Profiling for B-Cell Lymphoma Diagnosis

Introducing a Text Annotation Tool (OntoMate), Assisting Curation at Rat Genome Database

Stochastic Modeling and Simulation of Reaction-Diffusion System with Hill Function Dynamics

Optimization of I/O Intensive Genome Assemblies on the Cori Supercomputer with Burst Buffer

Automatic Identification of Co-Occuring Patient Events

Hierarchical Spatio-temporal Visual Analysis of Cluster Evolution in Electrocorticography Data

G-quadruplex Structure Prediction and integration in the GenData2020 data model

Classification of Helpful Comments on Online Suicide Watch Forums

WeSME: Uncovering Mutual Exclusivity of Cancer Mutations

DIGNiFI: Discovering causative genes for orphan diseases using protein-protein interaction networks

Explorations in Very Early Prognosis of the Human Immune Response to Influenza

On Interestingness Measures for Mining Statistically Significant and Novel Clinical Associations from EMRs

ENIGMA-Viewer: Interactive Visualization Strategies for Conveying Effect Sizes in Meta-Analysis

A Multithreaded Algorithm for Mining Maximal Cohesive Dense Modules from Interaction Networks with Gene Profiles

Mining Discriminative Patterns to Predict Health Status for Cardiopulmonary Patients

Multidimensional Stochastic Process Model and its Applications to Analysis of Longitudinal Data with Genetic Information

Inferring Microbial Interaction Networks from Metagenomic Data Using SgLV-EKF Algorithm

Automated Verification of Phenotypes using PubMed

Using Network Alignment for Analysis of Connectomes: Experiences from a Clinical Dataset

Recovering Bound Forms of Protein Structures Using the Elastic Network Model and Molecular Interaction Fields

Advanced Feature-Driven Disease Named Entity Recognition Using Conditional Random Fields

Towards targeted combinatorial therapy design for the treatment of castration-resistant prostate cancer

Predicting Future Frequent Users of Emergency Departments in California State

Applications of Secure Location Sensing in Healthcare

Model-based study of the Effectiveness of Reporting Lists of Small Feature Sets using RNA-Seq Data

Combination therapy design for maximizing sensitivity and minimizing toxicity

Predicting human-immunodeficiency virus rebound after therapy initiation/switch using genetic, laboratory, and clinical data

Reference-free comparison of microbial communities via de Bruijn graphs

Automated Capture of Naturalistic Child Vocalizations for Health Research

Interpretive Time-Frequency Analysis of Genomic Sequences

Feature Selection Model for Diagnosis, Electronic Medical Records and Geographical Data Correlation

HAPI-Gen: Highly Accurate Phasing and Imputation of Genotype Data

A Machine Learning Model for Discovery of Protein Isoforms as Biomarkers

Comparison of tissue/disease specific integrated networks using directed graphlet signatures

Text Classification with Topic-based Word Embedding and Convolutional Neural Networks

Integrated Visualization Tool for Differentially Expressed Genes and Gene Ontology Analysis

SEQUOIA: Significance enhanced network querying through context-sensitive random walk and minimization of network conductance

Detecting Communities in Biological Bipartite Networks

The TB-IRIS neutrophil proteome: bioinformatic challenges

Finding Low-Conductance sets with Dense interactions (FLCD) for better protein complex prediction

TAPESTRY: Network-centric Target Prioritization in Disease-related Signaling Networks

Metric-space Positioning Systems (MPS) for Machine Learning

Comprehensive Evaluation of RNA-seq Quantification Methods for Linearity

Development of a Scalable Method for Creating Food Groups Using the NHANES Dataset and MapReduce

The CMH Warehouse: A Catalog of Genetic Variation in Patients of a Children's Hospital

Multiple Sclerosis Biomarker Discovery via Bayesian Feature Selection

Sample-based Models of Protein Structural Transitions

Kinetic and Affinity Constraints on Reactions Between Antihapten Antibodies and Nonpeptidic B-Cell Epitopes: Implications for Predicting Antibody-Mediated Modulation of Pharmacokinetics and Pharmacodynamics

Inference of Nonlinear ODE-Based Gene Regulatory Networks via Intrinsically Bayesian Robust Kalman Filtering

Investigating Multiview and Multitask Learning Frameworks for Predicting Drug-Disease Associations

Smart Refrigerator for Healthcare Using Food Image Classification

Statistical and Network Analysis of Metabolomics Data

Statistical Framework for Uncertainty Quantification in Computational Molecular Modeling

Analysis of Neurooncological Data to Predict Success of Operation Through Classification

Automatic Detection of Beta-barrel from Medium Resolution Cryo-EM Density Maps

Characterizing the Role of Environment on Phenotypic Traits using Topological Data Analysis

Gene Expression Based Computation Methods for Alzheimer's Disease Progression using Hippocampal Volume Loss and MMSE Scores

Sequence Based Prediction of Hospital Readmissions

InterVisAR: An Interactive Visualization for Association Rule Search

Risk Stratification for Hospital Readmission of Heart Failure Patients: A Machine Learning Approach

Detecting Anomalies in Alert Firing within Clinical Decision Support Systems using Anomaly/Outlier Detection Techniques

Time to Reactivation of Latent Tuberculosis Infection Varies by Lineage

CloudControl: Leveraging many public ChIP-seq control experiments to better remove background noise

A Gaussian Process Model for Inferring the Dynamic Transcription Factor Activity

Predictive Modeling of Drug Effects on Signaling Pathways in Diverse Cancer Cell Lines

Prediction of Cell Type Specific Transcription Factor Binding Site Occupancy

Influence Function of Multiple Kernel Canonical Analysis to Identify Outliers in Imaging Genetics Data

Limitations of Current Approaches for Reference-Free, Graph-Based Variant Detection

Stability Analysis of Population Dynamics Model in Microbial Biofilms with Non-participating Strains

A Last Genetic Contact Tree Generation Algorithm for a Set of Human Populations

Counting independent motifs in probabilistic networks

Modeling Cell Signaling Networks with Prize-Collecting Subhypernetworks

A Fast Sketch-based Assembler for Genomes

Copy Number Variation and Adaptive Evolutionary Radiations across the African Cichlid phylogeny

De novo identification of cell type hierarchy with application to compound marker detection

An integrative analysis of ATAC-seq and RNA-seq data in activated, CD4+CD45RO+CD196+ human T cells treated with IL-1B and IL-23 with or without PGE2

A Hybrid Stochastic Model of the Budding Yeast Cell Cycle Control Mechanism

Phenotyping Intensive Care Unit Patients Using Temporal Abstractions and Temporal Pattern Matching

Scalable Algorithms at Genomic Resolution to fit LD Distributions

Adaptive Local Realignment via Parameter Advising

Robust Kernel Canonical Correlation Analysis to Detect Gene-Gene Interaction for Imaging Genetics Data

Health Care Needs of Underserved Populations in the City of Indianapolis

Prioritizing Adverse Drug Reaction and Drug Repositioning Candidates Generated by Literature-Based Discovery

Reconstructing Neuronal Signaling Pathways With the Potential for Disruption in Schizophrenia

Exact Algorithms for Duplication-Transfer-Loss Reconciliation with Non-Binary Gene Trees

Noninvasive Cancer Classification Using Diverse Genomic Features in Circulating Tumor DNA

OCoM-SOCoM: Combinatorial Mutagenesis Library Design Optimally Combining Sequence and Structure Information

Machine learning techniques predict and characterize toxicity between different multi-walled carbon nanotubes

Mining Novel Knowledge from Biomedical Literature using Statistical Measures and Domain Knowledge

Visual analytics on the spread of pathogens

Bipartite matching generalizations for peptide identification in tandem mass spectrometry

MoBaS on Phosphorylation Data

A Novel Temporal Similarity Measure for Patients Based on Irregularly Measured Data in Electronic Health Records

Name Similarity for Composite Element Name Matching

Effective Utilization of Paired Reads to Improve Length and Accuracy of Contigs in Genome Assembly

Library-Based Microbial Source Tracking via Strain Identification

Robinson-Foulds Median Trees: A Clique-based Heuristic

Computational Framework for in-Silico Study of Virtual Cell Biology via Process Simulation and Multiscale Modeling

Risk Factor Analysis Based on Deep Learning Models

Manhattan Path-Difference Median Trees

POMP: a powerful splice mapper for RNA-seq reads

Kmerind: A Flexible Parallel Library for K-mer Indexing of Biological Sequences on Distributed Memory Systems

deepTarget: End-to-end Learning Framework for microRNA Target Prediction using Deep Recurrent Neural Networks

PaReCat: Patient Record Subcategorization for Precision Traditional Chinese Medicine

Multiscale Approximation with Graphical Processing Units for Multiplicative Speedup in Molecular Dynamics

Using Network Alignment for Analysis of Connectomes: Experiences from a Clinical Dataset

Content Provider	ACM Digital Library
Author	Xu, Duan Hess, Christopher Tymofiyeva, Olga Cannataro, Mario Guzzi, Pietro H. Milano, Marianna
Abstract	Recently the study of the complex system of connections in neural systems, i.e. the connectome, has gained a central role in neurosciences. The modeling and analysis of connectomes is therefore a growing area. Here we focus on the representation of connectomes by using graph theory formalisms. Macroscopic human brain connectomes are usually derived from neuroimages, the analyzed brains are co-registered in the image domain and brought to a common anatomical space. An atlas is then applied in order to define anatomically meaningful regions that will serve as the nodes of the network and this process is referred to as parcellation. The atlas-based parcellations present some known limitations in cases of early brain development and abnormal anatomy. Consequently, it has been recently proposed to perform atlas-free random brain parcellation into nodes and align brains in the network space instead of the anatomical image space, as a way to deal with the unknown correspondences of the parcels. Such process requires modeling of the brain using graph theory and the subsequent comparison of the structure of graphs. The latter step may be modeled as a graph alignment (GA) problem. In this work, we first define the problem formally, then we test some existing state of the art aligners on diffusion MRI-derived brain networks, and we compare the performances. The results confirm that GA algorithms may be applied in cases of atlas-free parcellation for a fully network-driven comparison of connectomes.
Starting Page	649
Ending Page	656
Page Count	8
File Format	PDF
ISBN	9781450342254
DOI	10.1145/2975167.2985690
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-10-02
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Brain Graph Connectome
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in