Maria Chikina

Maria Chikina

University of Pittsburgh

H-index: 28

North America-United States

About Maria Chikina

Maria Chikina, With an exceptional h-index of 28 and a recent h-index of 24 (since 2020), a distinguished researcher at University of Pittsburgh, specializes in the field of Computational Biology, Genomics, Machine Learning, Immunology.

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

Vocal learning–associated convergent evolution in mammalian proteins and regulatory elements

Evolutionary Rate Covariation is a reliable predictor of co-functional interactions but not necessarily physical interactions

Memory B cell subsets have divergent developmental origins that are coupled to distinct imprinted epigenetic states

Optimizer’s dilemma: optimization strongly influences model selection in transcriptomic prediction

Molecular adaptations in response to exercise training are associated with tissue-specific transcriptomic and epigenomic signatures

RERconverge Expansion: Using Relative Evolutionary Rates to Study Complex Categorical Trait Evolution

Coevolution due to physical interactions is not a major driving force behind evolutionary rate covariation

Benchmarking of deep neural networks for predicting personal gene expression from DNA sequence highlights shortcomings

Maria Chikina Information

University

Position

___

Citations(all)

4198

Citations(since 2020)

3447

Cited By

1864

hIndex(all)

28

hIndex(since 2020)

24

i10Index(all)

47

i10Index(since 2020)

42

Email

University Profile Page

Google Scholar

Maria Chikina Skills & Research Interests

Computational Biology

Genomics

Machine Learning

Immunology

Top articles of Maria Chikina

Evolutionary Rate Covariation is a reliable predictor of co-functional interactions but not necessarily physical interactions

Elife

2024/2/28

Maria Chikina
Maria Chikina

H-Index: 20

Memory B cell subsets have divergent developmental origins that are coupled to distinct imprinted epigenetic states

Nature Immunology

2024/1/10

Maria Chikina
Maria Chikina

H-Index: 20

Mark Shlomchik
Mark Shlomchik

H-Index: 54

Optimizer’s dilemma: optimization strongly influences model selection in transcriptomic prediction

Bioinformatics Advances

2024/1/1

Jake Crawford
Jake Crawford

H-Index: 4

Maria Chikina
Maria Chikina

H-Index: 20

Molecular adaptations in response to exercise training are associated with tissue-specific transcriptomic and epigenomic signatures

Cell Genomics

2024/5/1

RERconverge Expansion: Using Relative Evolutionary Rates to Study Complex Categorical Trait Evolution

bioRxiv

2023/12/7

Maria Chikina
Maria Chikina

H-Index: 20

Coevolution due to physical interactions is not a major driving force behind evolutionary rate covariation

eLife

2023/12/7

Maria Chikina
Maria Chikina

H-Index: 20

Benchmarking of deep neural networks for predicting personal gene expression from DNA sequence highlights shortcomings

Nature Genetics

2023/12

Quick and effective approximation of in silico saturation mutagenesis experiments with first-order Taylor expansion

bioRxiv

2023/11/14

MousiPLIER: A Mouse Pathway-Level Information Extractor Model

bioRxiv

2023/8/2

An intrinsically interpretable neural network architecture for sequence-to-function learning

Bioinformatics

2023/6/30

Dennis Kostka
Dennis Kostka

H-Index: 17

Maria Chikina
Maria Chikina

H-Index: 20

A methylation clock model of mild SARS‐CoV‐2 infection provides insight into immune dysregulation

Molecular Systems Biology

2023/5/9

T cell receptor (TCR) landscape of childhood brain tumors

Cancer Research

2023/4/4

How far are we from personalized gene expression prediction using sequence-to-expression deep neural networks?

Biorxiv: the Preprint Server for Biology

2023/3/20

InstaPrism: an R package for fast implementation of BayesPrism

bioRxiv

2023/3/10

Mengying Hu
Mengying Hu

H-Index: 11

Maria Chikina
Maria Chikina

H-Index: 20

IL-21R signal reprogramming cooperates with CD40 and BCR signals to select and differentiate germinal center B cells

Science Immunology

2023/2/17

L0 segmentation enables data-driven concise representations of diverse epigenomic data

bioRxiv

2023/1/27

Maria Chikina
Maria Chikina

H-Index: 20

Heterogeneous pseudobulk simulation enables realistic benchmarking of cell-type deconvolution methods

bioRxiv

2023/1/6

Mengying Hu
Mengying Hu

H-Index: 11

Maria Chikina
Maria Chikina

H-Index: 20

Re-analysis on the statistical sampling biases of a mask promotion trial in Bangladesh: a statistical replication

Trials

2022/9/15

See List of Professors in Maria Chikina University(University of Pittsburgh)