Appointment: Associate Professor

Research topics:

• Machine Learning and Statistical Inference
• Learning with Unlabeled Data
• Meta and Ensemble learning
• Ontology for Knowledge Representation

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1 to 10 of 853 Results
Gzip Archive - 48.3 MB - MD5: bb209381404d10226a7e4ee0f284be41
Code
Codes for executing the analysis pipeline.
Adobe PDF - 653.3 KB - MD5: 2238b7ff53a88f26a9c388838525bba7
Documentation
Documentation of the codes (tool), which describe the input and output of the codes, environment for running the codes, and the steps for running the codes or analysis pipeline.
Gzip Archive - 2.7 MB - MD5: 908471814acc1085328004725841c5fe
Data
Examples of metadata and sequence data (contain records obtained from the NCBI Influenza Virus Resource) for analysis pipeline.
Adobe PDF - 1.0 MB - MD5: daabe8f3f6ec2c81ab4da386c92505e6
Documentation
Description of methods for the analysis pipeline.
Plain Text - 281 B - MD5: b6f4c46fb08d07a94449762ae037d9e1
Citation Information
MS Excel Spreadsheet - 8.9 MB - MD5: 2713a4b215b8c6a8429e44dc0d6f6342
Raw Data
Tabular Data - 23.8 KB - 6 Variables, 310 Observations - UNF:6:1S8xNlxC/A5bjyz5wcJXPQ==
the data with PDB identifiers in columns
Tabular Data - 21.3 KB - 5 Variables, 310 Observations - UNF:6:GtERqAvwJ8cPApagJMT+dg==
Pre-processed data
Python Source Code - 762 B - MD5: 892894b6ebf417b6fd4945ec00db732d
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