Sahar AL Seesi

About Sahar AL Seesi

Sahar AL Seesi, With an exceptional h-index of 12 and a recent h-index of 10 (since 2020), a distinguished researcher at Southern Connecticut State University, specializes in the field of bioinformatics, genomics, computational biology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Geneo: a bioinformatics toolbox for genomics-guided neoepitope prediction

Comparing Machine Learning Models for Intron Classification

An unbiased approach to defining bona fide cancer neoepitopes that elicit immune-mediated cancer rejection

Key parameters of tumor epitope immunogenicity revealed through a consortium approach improve neoantigen prediction

Unbiased analysis of all possible neoepitopes of MC38-FABF tumor reveals a new universe of cancer neoepitopes with unexpected properties

A user-centered design of a major and minor intron annotation database (MMIAD)

Sahar AL Seesi Information

University

Position

Associate Professor Computer Science

Citations(all)

1106

Citations(since 2020)

813

Cited By

541

hIndex(all)

12

hIndex(since 2020)

10

i10Index(all)

14

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Sahar AL Seesi Skills & Research Interests

bioinformatics

genomics

computational biology

Top articles of Sahar AL Seesi

Geneo: a bioinformatics toolbox for genomics-guided neoepitope prediction

Journal of Computational Biology

2023/4/1

Comparing Machine Learning Models for Intron Classification

2022/12/6

Paul Rosenberg
Paul Rosenberg

H-Index: 38

Sahar Al Seesi
Sahar Al Seesi

H-Index: 10

An unbiased approach to defining bona fide cancer neoepitopes that elicit immune-mediated cancer rejection

The Journal of clinical investigation

2021/2/1

Sahar Al Seesi
Sahar Al Seesi

H-Index: 10

Unbiased analysis of all possible neoepitopes of MC38-FABF tumor reveals a new universe of cancer neoepitopes with unexpected properties

The Journal of Immunology

2020/5/1

Sahar Al Seesi
Sahar Al Seesi

H-Index: 10

A user-centered design of a major and minor intron annotation database (MMIAD)

Proceedings of the International Conferences Interfaces and Human Computer Interaction 2020; and Game and Entertainment Technologies 2020

2020

See List of Professors in Sahar AL Seesi University(Southern Connecticut State University)

Co-Authors

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