probabilistic ranking

•Als PPT, PDF herunterladen•

0 gefällt mir•333 views

FELIX75

Technologie Bildung

Integration of Full-Coverage Probabilistic Functional Networks with Relevance to Specific Biological Processes James, K., Wipat, A. & Hallinan, J. School of Computing Science, Newcastle University Data Integration in the Life Sciences 2009

Integrated functional networks ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Dataset bias ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Bias in HTP datasets From Myers and Troyanskaya, Bioinformatics 2007.

Bias & Relevance ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Relevance scoring ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Data sets ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Choice of D value ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Classifier output classification threshold positives negatives TP TN FP FN Increasing specificity Increasing sensitivity

Ranking 3 3 2 8 4.2253 8 1 1 1 7 4.4641 7 7 8 5 6 4.5212 6 5 5 7 5 4.9335 5 4 4 3 4 5.0842 4 2 2 6 3 5.7040 3 8 7 8 2 5.7054 2 6 6 4 1 6.6937 1 A&T Rank Telomere Rank Ageing Rank Conf. Rank Conf. Score Dataset

Evaluation - Clustering ,[object Object],[object Object]

Results 38.35 33.33 29.83 24.67 523 R 37.98 33.80 29.55 24.26 573 C C 8.59 8.90 7.73 6.50 508 R 6.53 7.02 6.14 5.06 573 C T 36.92 31.75 27.73 22.37 523 R 35.19 28.86 26.14 21.29 573 C A >4 nodes >3 nodes >2 nodes % COI Clusters Bias Net

Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Future work ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Acknowledgements ,[object Object],[object Object],[object Object],[object Object],[object Object]

Empfohlen

Outcome-guided mutual information networks for investigating gene-gene intera...SOYEON KIM

Identification of novel potential anti cancer agents using network pharmacolo...Cresset

Novel network pharmacology methods for drug mechanism of action identificatio...laserxiong

Network Pharmacology Tri-Con 022212Philip Bourne

NetBioSIG2014-Talk by Hyunghoon ChoAlexander Pico

NetBioSIG2013-KEYNOTE Michael SchroederAlexander Pico

NetBioSIG2013-KEYNOTE Stefan SchusterAlexander Pico

NetBioSIG2013-Talk Martina KutmonAlexander Pico

Empfohlen

Outcome-guided mutual information networks for investigating gene-gene intera...SOYEON KIM

Identification of novel potential anti cancer agents using network pharmacolo...Cresset

Novel network pharmacology methods for drug mechanism of action identificatio...laserxiong

Network Pharmacology Tri-Con 022212Philip Bourne

NetBioSIG2014-Talk by Hyunghoon ChoAlexander Pico

NetBioSIG2013-KEYNOTE Michael SchroederAlexander Pico

NetBioSIG2013-KEYNOTE Stefan SchusterAlexander Pico

NetBioSIG2013-Talk Martina KutmonAlexander Pico

NetBioSIG2013-Talk Thomas KelderAlexander Pico

NER 2013 PosterSankaraleengam Alagapan

Differential Network Entropy Reveals Cancer System HallmarksLinh Huynh, PharmD

Proteomics - Analysis and integration of large-scale data setsLars Juhl Jensen

STRING - Modeling of pathways through cross-species integration of large-scal...Lars Juhl Jensen

STRING - Cross-species integration of known and predicted protein-protein int...Lars Juhl Jensen

STRING & related databases: Large-scale integration of heterogeneous dataLars Juhl Jensen

Systems biology: Bioinformatics on complete biological systemLars Juhl Jensen

presentationPeter Langfelder

System biology and its toolsGaurav Diwakar

NetBioSIG2013-Talk Tijana MilenkovicAlexander Pico

NetBioSIG2013-Talk Robin Haw Alexander Pico

NetBioSIG2013-Talk Gang SuAlexander Pico

Introduction to systems biologylemberger

Systems Biology Approaches to CancerRaunak Shrestha

Systems biology - Understanding biology at the systems levelLars Juhl Jensen

NetBioSIG2014-Talk by David AmarAlexander Pico

A genetic algorithm approach for predicting ribonucleic acid sequencing data ...TELKOMNIKA JOURNAL

Technology R&D Theme 2: From Descriptive to Predictive NetworksAlexander Pico

From systems biologybrnbarcelona

С праздником 8 марта!Vadim Zhartun

Presentation Case ComunicaçãoCase Comunicação

Weitere ähnliche Inhalte

Was ist angesagt?

NetBioSIG2013-Talk Thomas KelderAlexander Pico

NER 2013 PosterSankaraleengam Alagapan

Differential Network Entropy Reveals Cancer System HallmarksLinh Huynh, PharmD

Proteomics - Analysis and integration of large-scale data setsLars Juhl Jensen

STRING - Modeling of pathways through cross-species integration of large-scal...Lars Juhl Jensen

STRING - Cross-species integration of known and predicted protein-protein int...Lars Juhl Jensen

STRING & related databases: Large-scale integration of heterogeneous dataLars Juhl Jensen

Systems biology: Bioinformatics on complete biological systemLars Juhl Jensen

presentationPeter Langfelder

System biology and its toolsGaurav Diwakar

NetBioSIG2013-Talk Tijana MilenkovicAlexander Pico

NetBioSIG2013-Talk Robin Haw Alexander Pico

NetBioSIG2013-Talk Gang SuAlexander Pico

Introduction to systems biologylemberger

Systems Biology Approaches to CancerRaunak Shrestha

Systems biology - Understanding biology at the systems levelLars Juhl Jensen

NetBioSIG2014-Talk by David AmarAlexander Pico

A genetic algorithm approach for predicting ribonucleic acid sequencing data ...TELKOMNIKA JOURNAL

Technology R&D Theme 2: From Descriptive to Predictive NetworksAlexander Pico

From systems biologybrnbarcelona

Was ist angesagt? (20)

NetBioSIG2013-Talk Thomas Kelder

NER 2013 Poster

Differential Network Entropy Reveals Cancer System Hallmarks

Proteomics - Analysis and integration of large-scale data sets

STRING - Modeling of pathways through cross-species integration of large-scal...

STRING - Cross-species integration of known and predicted protein-protein int...

STRING & related databases: Large-scale integration of heterogeneous data

Systems biology: Bioinformatics on complete biological system

presentation

System biology and its tools

NetBioSIG2013-Talk Tijana Milenkovic

NetBioSIG2013-Talk Robin Haw

NetBioSIG2013-Talk Gang Su

Introduction to systems biology

Systems Biology Approaches to Cancer

Systems biology - Understanding biology at the systems level

NetBioSIG2014-Talk by David Amar

A genetic algorithm approach for predicting ribonucleic acid sequencing data ...

Technology R&D Theme 2: From Descriptive to Predictive Networks

From systems biology

Andere mochten auch

С праздником 8 марта!Vadim Zhartun

Presentation Case ComunicaçãoCase Comunicação

animationsGurpreet Singh

Social media onderwijsLessius Mechelen

animationsGurpreet Singh

Texting Out LoudBryan Machado

Chi Ex Summary Finaleuweben01

Pneumatici - guido sicuro solo con i giusti pneumaticiMax Favilli

Risorse E Potenzialità Dei Siti Telematici Per Il Lavoro Psichiatricoguest0203f8

Larry Dorr Presentation to SIL Board 2012Smithsonian Libraries

Intro To Investment Mgt.johai

Power pointguestff84c2ea

Dok Spetterweek 2008guest636e0b

Marketing Practitioner S.A,Philani Mdingi

WTR OPP 2012年版waytorich

Halle BerryWassil Sarall

My different Careersguest1bbe58

Unit 2b SavingAndrew Hingston

Welcome To Our BlogLiz Gallagher

Wescott Presentationmille225

Andere mochten auch (20)

С праздником 8 марта!

Presentation Case Comunicação

animations

Social media onderwijs

animations

Texting Out Loud

Chi Ex Summary Final

Pneumatici - guido sicuro solo con i giusti pneumatici

Risorse E Potenzialità Dei Siti Telematici Per Il Lavoro Psichiatrico

Larry Dorr Presentation to SIL Board 2012

Intro To Investment Mgt.

Power point

Dok Spetterweek 2008

Marketing Practitioner S.A,

WTR OPP 2012年版

Halle Berry

My different Careers

Unit 2b Saving

Welcome To Our Blog

Wescott Presentation

Ähnlich wie probabilistic ranking

Cytoscape Talk 2010Stewart MacArthur

Network Biology Lent 2010 - lecture 1Florian Markowetz

Network-based machine learning approach for aggregating multi-modal dataSOYEON KIM

Large scale machine learning challenges for systems biologyMaté Ongenaert

Cornell Pbsb 20090126 NetsMark Gerstein

System Biology and Pathway Network.pptxssuserecbdb6

IRJET- Gene Mutation Data using Multiplicative Adaptive Algorithm and Gene On...IRJET Journal

EnrichNet: Graph-based statistic and web-application for gene/protein set enr...Enrico Glaab

Huwang-2-7.pptkobra22

Java tutorial: Programmatic Access to Molecular InteractionsRafael C. Jimenez

OVium Bioinformatic SolutionsOVium Solutions

STRING - Prediction of functional relations, modules, and networks from heter...Lars Juhl Jensen

A tutorial in Connectome Analysis (3) - Marcus KaiserLake Como School of Advanced Studies

STRING - Prediction of functionally associated proteins from heterogeneous ge...Lars Juhl Jensen

Prediction of protein functionLars Juhl Jensen

Biolayout Marblar Feb13marblar

LarsJuhlJensen2020CphBioscienceCluster

2 partners ed_kickoff_dtaiSirris

PhD midterm reportDavide Rambaldi

An information-theoretic, all-scales approach to comparing networksJim Bagrow

Ähnlich wie probabilistic ranking (20)

Cytoscape Talk 2010

Network Biology Lent 2010 - lecture 1

Network-based machine learning approach for aggregating multi-modal data

Large scale machine learning challenges for systems biology

Cornell Pbsb 20090126 Nets

System Biology and Pathway Network.pptx

IRJET- Gene Mutation Data using Multiplicative Adaptive Algorithm and Gene On...

EnrichNet: Graph-based statistic and web-application for gene/protein set enr...

Huwang-2-7.ppt

Java tutorial: Programmatic Access to Molecular Interactions

OVium Bioinformatic Solutions

STRING - Prediction of functional relations, modules, and networks from heter...

A tutorial in Connectome Analysis (3) - Marcus Kaiser

STRING - Prediction of functionally associated proteins from heterogeneous ge...

Prediction of protein function

Biolayout Marblar Feb13

LarsJuhlJensen2020

2 partners ed_kickoff_dtai

PhD midterm report

An information-theoretic, all-scales approach to comparing networks

Mehr von FELIX75

technoratiFELIX75

phpFELIX75

probabilistic rankingFELIX75

DB-IR-rankingFELIX75

IR-rankingFELIX75

Mehr von FELIX75 (9)

technorati

php

probabilistic ranking

DB-IR-ranking

IR-ranking

Kürzlich hochgeladen

Take control of your SAP testing with UiPath Test SuiteDianaGray10

Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Alkin Tezuysal

Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3

How to write a Business Continuity PlanDatabarracks

The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3

Assure Ecommerce and Retail Operations Uptime with ThousandEyesThousandEyes

Genislab builds better products and faster go-to-market with Lean project man...Farhan Tariq

Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3

Time Series Foundation Models - current state and future directionsNathaniel Shimoni

Decarbonising Buildings: Making a net-zero built environment a realityIES VE

How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe

The State of Passkeys with FIDO Alliance.pptxLoriGlavin3

Long journey of Ruby standard library at RubyConf AU 2024Hiroshi SHIBATA

TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc

Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3

From Family Reminiscence to Scholarly Archive .Alan Dix

A Framework for Development in the AI AgeCprime

What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina

A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3

2024 April Patch TuesdayIvanti

Kürzlich hochgeladen (20)

Take control of your SAP testing with UiPath Test Suite

Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...

Digital Identity is Under Attack: FIDO Paris Seminar.pptx

How to write a Business Continuity Plan

The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx

Assure Ecommerce and Retail Operations Uptime with ThousandEyes

Genislab builds better products and faster go-to-market with Lean project man...

Moving Beyond Passwords: FIDO Paris Seminar.pdf

Time Series Foundation Models - current state and future directions

Decarbonising Buildings: Making a net-zero built environment a reality

How AI, OpenAI, and ChatGPT impact business and software.

The State of Passkeys with FIDO Alliance.pptx

Long journey of Ruby standard library at RubyConf AU 2024

TrustArc Webinar - How to Build Consumer Trust Through Data Privacy

Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx

From Family Reminiscence to Scholarly Archive .

A Framework for Development in the AI Age

What is DBT - The Ultimate Data Build Tool.pdf

A Deep Dive on Passkeys: FIDO Paris Seminar.pptx

2024 April Patch Tuesday

probabilistic ranking

1. Integration of Full-Coverage Probabilistic Functional Networks with Relevance to Specific Biological Processes James, K., Wipat, A. & Hallinan, J. School of Computing Science, Newcastle University Data Integration in the Life Sciences 2009

4. Bias in HTP datasets From Myers and Troyanskaya, Bioinformatics 2007.

7. Network integration

8. Network integration

9. Effect of D value

10.

11. Relevance scoring

12.

13.

14. Classifier output classification threshold positives negatives TP TN FP FN Increasing specificity Increasing sensitivity

15. ROC Curves

16. D value

17. D value

18. Ranking 3 3 2 8 4.2253 8 1 1 1 7 4.4641 7 7 8 5 6 4.5212 6 5 5 7 5 4.9335 5 4 4 3 4 5.0842 4 2 2 6 3 5.7040 3 8 7 8 2 5.7054 2 6 6 4 1 6.6937 1 A&T Rank Telomere Rank Ageing Rank Conf. Rank Conf. Score Dataset

19. Results

20.

21. Results 38.35 33.33 29.83 24.67 523 R 37.98 33.80 29.55 24.26 573 C C 8.59 8.90 7.73 6.50 508 R 6.53 7.02 6.14 5.06 573 C T 36.92 31.75 27.73 22.37 523 R 35.19 28.86 26.14 21.29 573 C A >4 nodes >3 nodes >2 nodes % COI Clusters Bias Net

22. Cluster annotation

23.

24.

25.