Genomics - Data processing.

Bioinformatics basics : = applications in biological science and medicine / by: (Language materials, printed)

Computational and statistical approaches to genomics / by: (Language materials, printed)

Computational and statistical approaches to genomics by: (Language materials, printed)

Comparative gene finding = models, algorithms and implementation / by: (Language materials, printed)

Genomics data analysis = false discovery rates and empirical Bayes methods / by: (Electronic resources)

Data mining and applications in genomics by: (Electronic resources)

Comparative gene finding = models, algorithms and implementation / by: (Electronic resources)

Bioinformatics and the cell = modern computational approaches in genomics, proteomics, and transcriptomics / by: (Electronic resources)

Machine learning and systems biology in genomics and health by: (Electronic resources)

Handbook of machine learning applications for genomics by: (Electronic resources)

Medical informatics.

Systems biology.

Gene Expression Analysis.

Cancer Genetics and Genomics.

Data Analysis and Big Data.

Models, Genetic.

Bioinformatics.

Evolutionary Biology.

Genomics- statistics & numerical data.

Data mining.

Electronics and Microelectronics, Instrumentation.

Genomics- Data processing.

Algorithms.

Computational and Systems Biology.

Neuroinformatics.

Genomics- Mathematical models.

Genomics- Statistical methods.

Data Mining and Knowledge Discovery.

Molecular Genetics.

Computational Intelligence.

Life Sciences.

Cell Biology.

Artificial Intelligence.

Oligonucleotide Array Sequence Analysis.

Computer Science.

Proteomics.

Machine learning.

Genomic Analysis.

Bayesian statistical decision theory.

Life science- Data processing.

DNA microarrays.

Computational Biology/Bioinformatics.

Human Genetics.

Proteomics- Data processing.

Genomics.

Genetics and Genomics.