Data analysis and biostatistics: an overview of current techniques and challenges

Apr
12
2018

Analytica Conference > DGKL / Room 4a > Bioinformatics and Big Data Applications in Microbiome Analysis

12. Apr 2018
10:30-11:00 h  |  ICM - Internationales Congress Center München Room 4a

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Subjects: 

Pharma & Diagnostics

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Medicine/public health

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Biotechnology & Life Sciences

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Analytic

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Digital Transformation / Smart Laboratory

Speaker: 

Prof. Dr. Frank Klawonn 

(Helmholtz-Zentrum für Infektionsforschung)

Type:
Lecture
Speech: English

The advancement of high-throughput technologies like microarrays, next generation sequencing and mass spectrometry, that allow to measure the whole or large parts of the genome, transcriptome, proteome or metabolome. In contrast to classical laboratory values, much larger numbers of parameters are measured: from a few hundreds to tens of thousands. However, where standard laboratory values are available for larger cohorts, so far measurements from high-throughput technologies are mostly available for only a very limited number of patients. Apart from the often complex and non-standardised preprocessing of such data, these data pose a challenge to data analysis and statistics. Instead of a larger sample with a small number of variables, one has to cope with a small number of cases and high-dimensional data. Standard classical statistical methods are not designed for such problems.
Nevertheless, there are specific approaches that can deal with limited sample size high-dimensional data. Visualisation techniques like metric and non-metric multidimensional scaling can provide important insights to the data.
Non-parametric statistical methods are better suited to small sample sizes with the advantage that they do not have the same power as parametric methods. Bootstrapping, permutation and Monte Carlo tests are general techniques that also do not make specific assumptions on the underlying distribution of the data.
There are also exploration techniques designed to check the potential that lies in small sample size pilot studies [1] as they were for instance applied in the biomarker study [2] for a sample size of 24 with more than 50,000 biomarker candidates. Special validation methods from machine learning like leave-one-out cross-validation as they were used in the subgingival microbiome study [3] are also specially designed for small sample sizes.
Although, for small sample size high-dimensional data one cannot expect statistical methods as powerful as for standard large sample size multivariate data, there are special techniques to analyse such data and to gain important insights on the data and judge statistical significance.
Literature:
[1] F. Klawonn, Advances in Intelligent Data Analysis XV 2016, 81, 356-36.[2] M. Omar, Journal of Arthroplasty 2017,32, 234-240. [3] S.P. Szafranski, Applied and Environmental Microbiology 2015, 1047-1058.

Speaker
Prof. Dr. Frank Klawonn, Helmholtz-Zentrum für Infektionsforschung Show Profile

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EntranceEast
EntranceNorth-West
EntranceNorth
Outdoor areas
EntranceNorth-East
ConferenceCenter Nord
ICM
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C1
C2
C3
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C5
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EntranceWest
Atrium
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Apr
12
2018

Analytica Conference > DGKL / Room 4a > Bioinformatics and Big Data Applications in Microbiome Analysis

Beyond biomarkers: concepts for a better understanding of the microbiome

12. Apr 2018
11:00-11:30 h  |  ICM - Internationales Congress Center München Room 4a
Speaker: Prof. Dr. Thomas Rattei (University of Vienna)

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Apr
12
2018

Analytica Conference > DGKL / Room 4a > Bioinformatics and Big Data Applications in Microbiome Analysis

Analysis of the Intestinal Microbiome: Measurement, Data Management and Quality Aspects

12. Apr 2018
10:00-10:30 h  |  ICM - Internationales Congress Center München Room 4a
Speaker: Dr. Andreas Hiergeist (University Hospital Regensbug)

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Apr
12
2018

Analytica Conference > DGKL / Room 4a > Bioinformatics and Big Data Applications in Microbiome Analysis

Biomedical perspectives: From NGS data to diagnostic relevance

12. Apr 2018
11:30-12:00 h  |  ICM - Internationales Congress Center München Room 4a
Speaker: Dr. Konrad Bode (MVZ Labor Dr. Limbach und Kollegen)

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