Kantikumar

Cancer_Diagnosis

Once sequenced, a cancer tumor can have thousands of genetic mutations. But the challenge is distinguishing the mutations that contribute to tumor growth (drivers) from the neutral mutations (passengers). Currently this interpretation of genetic mutations is being done manually. This is a very time-consuming task where a clinical pathologist has to manually review and classify every single genetic mutation based on evidence from text-based clinical literature.

Hirschberg-Sinclair_algorithm

An implementation of the Hirschberg-Sinclair leader election algorithm in Python.

TCP_over_UDP

P2P

Kantikumar/Hirschberg-Sinclair_algorithm

An implementation of the Hirschberg-Sinclair leader election algorithm in Python.

Kantikumar/Cancer_Diagnosis

Once sequenced, a cancer tumor can have thousands of genetic mutations. But the challenge is distinguishing the mutations that contribute to tumor growth (drivers) from the neutral mutations (passengers). Currently this interpretation of genetic mutations is being done manually. This is a very time-consuming task where a clinical pathologist has to manually review and classify every single genetic mutation based on evidence from text-based clinical literature.

Kantikumar/TCP_over_UDP