Events
Course description:
This course aims to introduce researchers to a multidisciplinary approach to
microrray data analysis. Particular attention is devoted to the design of
microarray experiments, data normalization and quality control as well as to
statistical analysis. Participants might find the provided basic training
invaluable for: how to approach designing microarray experiments planned in
their lab; gaining knowledge and understanding of microarray analysis and
quality issues; gaining confidence in performing preprocessing, quality
Course description:
This course aims to introduce researchers to a multidisciplinary approach to
microrray data analysis. Particular attention is devoted to the design of
microarray experiments, data normalization and quality control as well as to
statistical analysis. Participants might find the provided basic training
invaluable for: how to approach designing microarray experiments planned in
their lab; gaining knowledge and understanding of microarray analysis and
quality issues; gaining confidence in performing preprocessing, quality
Course description:
This course aims to introduce researchers to a multidisciplinary approach to
microrray data analysis. Particular attention is devoted to the design of
microarray experiments, data normalization and quality control as well as to
statistical analysis. Participants might find the provided basic training
invaluable for: how to approach designing microarray experiments planned in
their lab; gaining knowledge and understanding of microarray analysis and
quality issues; gaining confidence in performing preprocessing, quality
Course description:
This course aims to introduce researchers to a multidisciplinary approach to
microrray data analysis. Particular attention is devoted to the design of
microarray experiments, data normalization and quality control as well as to
statistical analysis. Participants might find the provided basic training
invaluable for: how to approach designing microarray experiments planned in
their lab; gaining knowledge and understanding of microarray analysis and
quality issues; gaining confidence in performing preprocessing, quality
Course description:
This course aims to introduce researchers to a multidisciplinary approach to
microrray data analysis. Particular attention is devoted to the design of
microarray experiments, data normalization and quality control as well as to
statistical analysis. Participants might find the provided basic training
invaluable for: how to approach designing microarray experiments planned in
their lab; gaining knowledge and understanding of microarray analysis and
quality issues; gaining confidence in performing preprocessing, quality


