shu-z

akita_variant_scoring

Pipeline for scoring simple and structural variants using Akita

final-nn

Implement a generic neural network class and use it for autoencoding and classifying.

germline_svm

HW1-FAST-AQ-Parser

Building a FAST[AQ] Parser + Building a DNA -> RNA Transcriber

HW2-BFS

HW2 BFS

hw3-clustering

hw4-prim-mst

Implement Prim's algorithm to construct a minimum spanning tree.

HW5-NW

Project 5: Needleman-Wunsch Global Alignment

hw6-hmm-viterbi

Implementation of the Viterbi algorithm, a dynamic program that is a common decoder for Hidden Markov Models (HMMs).

hw7-regression

Implement a logistic regression classifier using gradient descent.

shu-z/akita_variant_scoring

Pipeline for scoring simple and structural variants using Akita

shu-z/final-nn

Implement a generic neural network class and use it for autoencoding and classifying.

shu-z/germline_svm

shu-z/HW1-FAST-AQ-Parser

Building a FAST[AQ] Parser + Building a DNA -> RNA Transcriber

shu-z/HW2-BFS

HW2 BFS

shu-z/hw3-clustering

shu-z/hw4-prim-mst

Implement Prim's algorithm to construct a minimum spanning tree.

shu-z/HW5-NW

Project 5: Needleman-Wunsch Global Alignment

shu-z/hw6-hmm-viterbi

Implementation of the Viterbi algorithm, a dynamic program that is a common decoder for Hidden Markov Models (HMMs).

shu-z/hw7-regression

Implement a logistic regression classifier using gradient descent.

shu-z/svaba_cwl

CWL for SvABA.

shu-z/SVsig

Recurrent structural variations detection in cancer whole genomes

shu-z/SVsig-working

Working copy of SVsig.