Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Ashok Palaniappan

Has grant

Associate Professor

Shanmugha Arts, Science, Technology and Research Academy (SASTRA Deemed University)

No Info

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in Biostatistics

Recent Grants

Grant: Close

Chemical Space Docking & optimization of anticancer drugs against CRC targets

Open Date: 2024-11-01

Close Date: 2025-12-01

Grant: Close

Deep learning applications for biomedical problems

Open Date: 2022-08-01

Close Date:

Grant: Close

Cancer systems biology of novel stage-specific biomarkers

Open Date: 2018-07-01

Close Date: 2022-03-01

Articles (8)

Year:

2026

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Collaborators (4)

Jesper Grud Skat Madsen

Assistant Professor of Computational Biology

University of Southern Denmark

DENMARK

View details

Max Schubach

Co-lead Berlin office

Berlin Institute of Health at Charité - Universitätsmedizin Berlin

GERMANY

View details

Cen Wan

Associate Professor (Senior Lecturer, Tenured)

Birkbeck University of London

UNITED KINGDOM

View details

Il-Youp Kwak

Associate Professor

Chung-Ang University

SOUTH KOREA

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Ashok Palaniappan

Research Interests

Make your next move.

Explore related searches

Recent Grants

Articles (8)

A Computational Community Blind Challenge on Pan-Coronavirus Drug Discovery Data.

A community effort to optimize sequence-based deep learning models of gene regulation

BC-predict: mining of signal biomarkers and production of models for early-stage breast cancer subtyping and prognosis.

PRADclass: Hybrid Gleason Grade-Informed Computational Strategy Identifies Consensus Biomarker Features Predictive of Aggressive Prostate Adenocarcinoma

COADREADx: A comprehensive algorithmic dissection of colorectal cancer unravels salient biomarkers and actionable insights into its discrete progression

CESCProg: a compact prognostic model and nomogram for cervical cancer based on miRNA biomarkers

Microfluidics for Profiling miRNA Biomarker Panels in AI-Assisted Cancer Diagnosis and Prognosis.

BrcaDx: precise identification of breast cancer from expression data using a minimal set of features

Collaborators (4)

Jesper Grud Skat Madsen

Max Schubach

Cen Wan

Il-Youp Kwak

Make your next move.