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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

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Blog Post number 4

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

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Blog Post number 2

less than 1 minute read

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Blog Post number 1

less than 1 minute read

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

projects

A Bayesian approach to determine the composition of heterogeneous cancer tissue

We tackle the challenge of determining the composition of a heterogeneous cancer tissue. There exist high cost methods providing cell level resolution to observe important feature values. This method can be used to get accurate estimates of hetergeneous cell composition but the cost is prohibitive. We propose an algorithm that can get accurate estimates of the heterogeneous cancer tissue composition in a cost effective manner. It relies on one-time high cost cell level resolution measurements which can then be utilized in low cost low resolution aggregate measurements to estimate the composition of the heterogeneous cancer tissue.

publications

Bayesian data and channel joint maximum-likelihood based error correction in wireless sensor networks

Published in Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief, 2011

The proposed algorithm employs the temporal correlation of the narrowband sensor data in conjunction with the channel state information (CSI) for detection and error correction of the data received over the Rayleigh fading wireless channel.

Recommended citation: Ashish Katiyar, and Aditya K. Jagannatham (2011) "Bayesian data and channel joint maximum-likelihood based error correction in wireless sensor networks" Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief pp 141-146 http://www.iitk.ac.in/mwn/papers/acwr2011_submission_ashish.pdf

A Bayesian approach to determine the composition of heterogeneous cancer tissue

Published in BMC bioinformatics, 2018

In this paper, we propose an algorithm to tackle the challenge of determining the composition of a heterogeneous cancer tissue by utilizing the data of accurate, but high cost, single cell line cell-by-cell observation methods in low cost aggregate observation method for heterogeneous cancer cell mixtures to obtain their composition in a Bayesian framework.

Recommended citation: Ashish Katiyar, Anwoy Mohanty, Jianping Hua, Sima Chao, Rosana Lopes, Aniruddha Datta and Michael L. Bittner(2018). "A Bayesian approach to determine the composition of heterogeneous cancer tissue" BMC Bioinformatics. 2018;19(Suppl 3)1 https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-018-2062-0

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.