Skip To Main Content
Kishore Hari on Muck Rack

Kishore Hari

San Francisco
As seen in: PLOS, Frontiers, MDPI, PNAS, U.S. News and World Report, Mother Jones, BioRxiv, Cell Press, Grist, GeekDad
@sciencequiche@sciencemastodon.com Community organizer for science @cziscience. @testedcom fam. Hockey lover. Herder of Nerds. Thanos forever.
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Kishore

Contact Kishore, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Impacts of competition and phenotypic plasticity on the viability of adaptive therapy

|
By B Vibishan, Paras Jain, Vedant Sharma, Kishore Hari
| BioRxiv
Abstract Cancer is heterogeneous and variability in drug sensitivity is widely documented across cancer types. Adaptive therapy is an emerging modality of cancer treatment that leverages this drug resistance heterogeneity to improve therapeutic outcomes. Current standard treatments typically eliminate a large fraction of drug-sensitive cells, leading to drug-resistant relapse due to competitive release.
Open in Who Shared Issue with article?

Critical assessment of the ability of Boolean threshold models to describe gene regulatory network dynamics.

|
By Claus Kadelka, Kishore Hari
| BioRxiv
Abstract The inference of gene regulatory networks (GRNs) from high-throughput data constitutes a fundamental and challenging task in systems biology. Boolean networks are a popular modeling framework to understand the dynamic nature of GRNs. In the absence of reliable methods to infer the regulatory logic of Boolean GRN models, researchers frequently assume threshold logic as a default.
Open in Who Shared Issue with article?

Topological conditions of gene regulatory networks enabling robust binary cell-fate decision-making

|
By Sai Shyam, Mohit Kumar Jolly, Kishore Hari, Nikhil Nandan
| BioRxiv
Abstract Embryonic development entails multi-layer branching of cell-fate decision processes; often, each branch corresponding to a binary cell-fate decision. The two phenotypes at such branching points usually have mutually exclusive gene expression patterns, driven by two master regulators that mutually inhibit each other and can activate themselves, forming a toggle switch.
Open in Who Shared Issue with article?
See all 36 articles