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Machine Learning in Bioinformatics

Machine Learning in Bioinformatics

41 faculty research Machine Learning in Bioinformatics on GradNova.

D
Bioinformatics
Machine Learning
Theoretical Computer Science
Machine Learning in Bioinformatics
+4
D
Genomics and Phylogenetic Studies
Machine Learning in Bioinformatics
Public Relations and Crisis Communication
Semantic Web and Ontologies
+1
S
Computational Biology
DNA Sequence Analysis
Genomics
Metagenomics
+5
X
Algorithms and Data Compression
Genomics and Phylogenetic Studies
Machine Learning in Bioinformatics
Plant Pathogens and Fungal Diseases
+1
C
Advanced Proteomics Techniques and Applications
Machine Learning in Bioinformatics
Vaccines and Immunoinformatics Approaches
M
Bacteriophages and Microbial Interactions
Genetics, Bioinformatics, and Biomedical Research
Genomics and Phylogenetic Studies
Machine Learning in Bioinformatics
+1
A
Ahmed Bin Zaman

Assistant Professor (Teaching), Department of Computer Science

Computer Science

George Mason University

Evolutionary Algorithms, Computational Biology and Bioinformatics, Artificial Intelligence, and Machine Learning
Protein Structure and Dynamics
Computational Drug Discovery Methods
Enzyme Structure and Function
+2
P
Parastoo Kamranfar

Assistant Professor (Teaching), Department of Computer Science

Computer Science

George Mason University

Data Mining
Machine Learning
Protein Structure and Dynamics
Computational Drug Discovery Methods
+3
Y
Cervical Cancer and HPV Research
Head and Neck Cancer Studies
Vaccine Coverage and Hesitancy
Genomics and Rare Diseases
+4
T
Tolga Can

Associate Department Head and Teaching Professor

Computer Science

Colorado School of Mines

Bioinformatics and Genomic Networks
Gene Expression and Cancer Classification
Machine Learning in Bioinformatics
RNA and Protein Synthesis Mechanisms
+1
F
Corrosion Behavior and Inhibition
Machine Learning in Bioinformatics
Metabolism and Genetic Disorders
Metal Extraction and Bioleaching
+5
K
HIV Research and Treatment
Machine Learning in Bioinformatics
Text and Document Classification Technologies
M
Gene Expression and Cancer Classification
Genetic Associations and Epidemiology
Machine Learning and Data Classification
Machine Learning in Bioinformatics
+1
S
Computational Drug Discovery Methods
Gene Regulatory Network Analysis
Machine Learning in Bioinformatics
Microbial Metabolic Engineering and Bioproduction
+1
R
Robert F Murphy

Ray and Stephanie Lane Professor of Computational Biology Emeritus

Computer Science

Carnegie Mellon University

History and Theory of Mathematics
Mathematical Functions and Polynomials
Mathematics and Applications
Matrix Theory and Algorithms
+6
B
Antimicrobial Peptides and Activities
Machine Learning in Bioinformatics
Vaccines and Immunoinformatics Approaches
Statistical Methods and Inference
+4
V
Advanced Neural Network Applications
Bacteriophages and Microbial Interactions
Genomics and Phylogenetic Studies
Machine Learning in Bioinformatics
+1
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