Marinka Zitnik

Fusing bits and DNA

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Machine Learning

Article: @Baylor College of Medicine, Department of Molecular and Human Genetics

Between December 2013 and August 2014 I am visiting the Department of Molecular and Human Genetics at Baylor College of Medicine, Houston, TX, USA. During my stay we will do research on computational methods for data fusion and their applications in...

Article: Press Coverage of Our Recent Study About Connections Between Human Diseases

BioTechniques, The International Journal of Life Science Methods highlighted our recent paper on Discovering disease-disease associations by fusing systems-level molecular data, which was published by Nature's Scientific Reports. In the paper we ...

Article: Discovering Disease-Disease Associations by Fusing Molecular Data

Nature's Scientific Reports has published our latest paper on data fusion, Discovering disease-disease associations by fusing systems-level molecular data, in which we combine various sources of biological information to discover human disease-disease...

Article: MLSS 2013, Max Planck Institute for Intelligent Systems, Tübingen

This year I am participating at Machine Learning Summer School (MLSS) that is held in Tübingen, Germany. The Summer School offers an opportunity to learn about fundamental and advanced aspects of machine learning, data analysis and inference, from...

Article: Extracting Gene Regulation Networks Using Linear-Chain Conditional Random Fields and Rules @ACL 2013, BioNLP Workshop

This week Slavko Zitnik will present our paper (he is the first author) at ACL, ACL BioNLP Workshop on extending linear-chain conditional random fields (CRF) with skip-mentions to extract gene regulatory networks from biomedical literature and a...

Article: CAMDA 2013: Matrix Factorization-Based Data Fusion for Drug-Induced Liver Injury Prediction

This work was recognized as first prize winner for excellent research at ISMB/ECCB CAMDA 2013 Conference. I am giving a talk at CAMDA 2013 Conference, which runs as a satellite meeting of ISMB/ECCB 2013 Conference. CAMDA focuses on challenges in the...

Article: Topological Concepts in Machine Learning @ACAT Summer School

I had a talk at ACAT Summer school on computational topology and topological data analysis held at University of Ljubljana. Abstract: Fast growth in the amount of data emerging from studies across various scientific disciplines and engineering...

Article: BioDay: Trends in Bioinformatics @Hekovnik

In May I participated at the first BioDay meeting organized by Hekovnik in Ljubljana, Slovenia. The aim of the BioDay events is the exchange of ideas, knowledge and fostering collaboration and networking between life scientists, computer scientists,...

Article: Winning BioNLP Challenge 2013: Extracting Gene Regulation Network

I have recently participated in BioNLP Shared Task 2013 Challenge together with Slavko Zitnik and won the first place in the task extracting gene regulation networks. The goal of the challenge was to assess the performance of information extraction...

Article: @Imperial College London, Department of Computing (Part II)

Recent days at Department of Computing, Imperial College London, were pleasant (though intense) and our efforts in data fusion produced some very good results. Below are images taken at Imperial and nearby Chrome Web Lab, located in Science Museum....

Article: @Imperial College London, Department of Computing (Part I)

I have just arrived to London, United Kingdom, where I will stay until the end of November this year. I will be working at Imperial College London, Department of Computing, Computational Network Biology Research Group led by Prof. Dr. Natasa Przulj. ...

Article: ML: Reliable Calibrated Probability Estimation in Classification

I followed a Machine Learning course this semester at the university (along with the one, offered by Stanford Uni). I have been working on a seminar studying Reliable probability estimation in classification using calibration. The final report is in...

Also labeled: Computer Science, Maths

Article: Renaming: MF - Matrix Factorization Techniques for Data Mining

In this short post I would like to update you on some recent changes in the MF - Matrix Factorization Techniques for Data Mining Library. Recently, the library MF - Matrix Factorization Techniques for Data Mining has been moved and renamed. It is...

Article: GSoC: MF - Matrix Factorization Techniques for Data Mining Review

Google Summer of Code 2011 has finished. On 22th of August it was firm "pencils down" date and today, on 26th of August, has been final evaluation deadline. Therefore, it is time for a small review to be published here on my blog. I successfully...

Article: GSoC & Orange: Matrix Factorization Techniques for Data Mining

This year I have applied for the Google Summer of Code, namely the Orange project. Will see if I will be accepted. :) Update 25.04.2011: Google has announced the results. My proposal has been accepted and am looking forward to start working....

Also labeled: Google, GSoC, Maths, Orange