Pinned Repositories
Block-Sampling
block sampling using modal values
COMP4030-Design-and-Analysis-of-Algorithms
the course introduces fundamental algorithms design techniques such as divide and conquer, dynamic programming, greedy. Prerequisite: COMP 2700
COMP7150-Fundamentals-of-Data-Science
The aim of this course is to introduce students to tools and techniques in all stages of the data science pipeline including, pre-processing, storage, visualization and analysis, in a domain-independent manner. The emphasis will be more on the practical aspects of data science. At the end of this course, students are expected to have the basic skills needed to start working in applications involving data science.
COMP7745-Machine-Learning
An introduction to machine learning: hypothesis spaces, formation and evaluation; concept learning, decision trees, linear regression and perceptrons; graphical models (naive Bayes, Bayes Nets, Hidden Markov Models); computational learning theory; Support Vector Machines; instance-based learning
Data-Science-Analytics-in-Python-Workshop-UoM-CS-Dept
Dr. Vinhthuy Phan (instructor)
GenBank-to-FASTA
Fix to run with python3, originally from https://rocaplab.ocean.washington.edu/tools/genbank_to_fasta/
Indel-Analysis
Analysis of optimal alignments unfolds bias in existing variant profiles (BMC Bioinformatics 2016)
LongAGE
LongAGE: a memory-efficient implementation of Alignment with Gap Excision (AGE)
Shannon-entropy
Compute Shannon entropy at length k for a genome (.fasta/.fa)
Unknown-Bacteria-Hunter
Using 16S rRNA Genes as Markers to Detect Unknown Bacteria in Microbial Communities (BMC Bioinformatics 2017)
Coaxecva's Repositories
Coaxecva/LongAGE
LongAGE: a memory-efficient implementation of Alignment with Gap Excision (AGE)
Coaxecva/COMP7150-Fundamentals-of-Data-Science
The aim of this course is to introduce students to tools and techniques in all stages of the data science pipeline including, pre-processing, storage, visualization and analysis, in a domain-independent manner. The emphasis will be more on the practical aspects of data science. At the end of this course, students are expected to have the basic skills needed to start working in applications involving data science.
Coaxecva/Block-Sampling
block sampling using modal values
Coaxecva/COMP4030-Design-and-Analysis-of-Algorithms
the course introduces fundamental algorithms design techniques such as divide and conquer, dynamic programming, greedy. Prerequisite: COMP 2700
Coaxecva/COMP7712-Algorithms-Prob-Solv
Covers algorithms problems, techniques, and design emphasizing problem solving and implementation skills; topics include advanced data structures, graph algorithms, string matching, network flow, dynamic programming, and randomized algorithms.
Coaxecva/COMP7745-Machine-Learning
An introduction to machine learning: hypothesis spaces, formation and evaluation; concept learning, decision trees, linear regression and perceptrons; graphical models (naive Bayes, Bayes Nets, Hidden Markov Models); computational learning theory; Support Vector Machines; instance-based learning
Coaxecva/Data-Science-Analytics-in-Python-Workshop-UoM-CS-Dept
Dr. Vinhthuy Phan (instructor)
Coaxecva/GenBank-to-FASTA
Fix to run with python3, originally from https://rocaplab.ocean.washington.edu/tools/genbank_to_fasta/
Coaxecva/Shannon-entropy
Compute Shannon entropy at length k for a genome (.fasta/.fa)
Coaxecva/bio-utils
Bioinformatics utilities mostly written in Perl.
Coaxecva/Indel-Analysis
Analysis of optimal alignments unfolds bias in existing variant profiles (BMC Bioinformatics 2016)
Coaxecva/Unknown-Bacteria-Hunter
Using 16S rRNA Genes as Markers to Detect Unknown Bacteria in Microbial Communities (BMC Bioinformatics 2017)
Coaxecva/Classifying-bacteria-sequences
LSA 16SrRNA whole genome
Coaxecva/coaxecva.github.io
Coaxecva/CodeFights
Coaxecva/Codon-Analysis
Coaxecva/COMP7115-Database-Systems
[University of Memphis] Review of the relational model; query processing and optimization; physical database design and tuning; transaction processing; concurrency control; crash recovery; database buffer management; database security.
Coaxecva/COMP7295-Bio-Algorithm
Algorithms for problems arising in molecular biology, such as sequence matching, alignment, gene finding, sequence assembly, phylogeny, and structure prediction; internet resources; statistical analysis of DNA, RNA, and protein sequences
Coaxecva/COMP8780-Natural-Lang-Processng
Computational aspects, algorithms, and techniques for human language processing; topics include lexical analysis, syntactic parsing, semantics, word sense disambiguation, logic forms, dialog, and pragmatics; applications include question answering and information extraction among others. PREREQUISITES: COMP 6040 or 6041 or permission of instructor.
Coaxecva/Genome-Assembly-Complexity
Goal: get familiar with genome assemblers, pre-processing, reporting and validation.
Coaxecva/Graph
a simple graph module
Coaxecva/Hirschberg-implementation
linear space LCS
Coaxecva/J2EE-TM-Web-Services
By Richard Monson-Haefel
Coaxecva/Lempel-Ziv-Complexity
LZ76 LZ78 Kolmogorov Complexity
Coaxecva/RNA-Seq-Quantification
rcfmi, polyster, sudo-alignment
Coaxecva/Student-Seat-Arrangement
Arrange student seats in class for a test/exam
Coaxecva/test_exe
for testing exe commit purposes
Coaxecva/Testing
Integrated Adaptive Resilient
Coaxecva/UT-KBRIN-R-Workshop-2017
*12-1pm: Introduction to RStudio/R, Reading Data into R *1-2pm: Various data visualizations in R *2-3pm: Basic Statistical Analysis in R *3-3:45pm: Shiny Application Demo – Identifying Interaction Effects in Large Data Sets (shinyfsa.org) *3:45-5pm: Creation of a Shiny Application