Ritambhara Singh
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Explore the profile of Ritambhara Singh including associated specialties, affiliations and a list of published articles.
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Articles
43
Citations
1196
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Recent Articles
1.
Tennant N, Pavuluri A, OConnor-Giles K, Singh G, Larschan E, Singh R
bioRxiv
. 2025 Feb;
PMID: 39896546
Although multiple high-performing epigenetic aging clocks exist, few are based directly on gene expression. Such transcriptomic aging clocks allow us to extract age-associated genes directly. However, most existing transcriptomic clocks...
2.
de Lima Camillo L, Asif M, Horvath S, Larschan E, Singh R
Sci Adv
. 2025 Jan;
11(1):eadk9373.
PMID: 39742485
Aging is a complex and multifaceted process involving many epigenetic alterations. One key area of interest in aging research is the role of histone modifications, which can dynamically regulate gene...
3.
Golovanevsky M, Schiller E, Nair A, Han E, Singh R, Eickhoff C
Pac Symp Biocomput
. 2024 Dec;
30:580-593.
PMID: 39670397
Multimodal models have become increasingly important as they surpass single-modality approaches on diverse tasks ranging from question-answering to disease diagnosis. Despite the importance of multimodal learning, existing efforts focus on...
4.
Zhang J, Chakravarthy M, Singh R
bioRxiv
. 2024 Nov;
PMID: 39554192
Measuring single-cell genomic profiles at different timepoints enables our understanding of cell development. This understanding is more comprehensive when we perform an integrative analysis of multiple measurements (or modalities) across...
5.
Murtaza G, Wagner J, Zook J, Singh R
IEEE/ACM Trans Comput Biol Bioinform
. 2024 Oct;
PP.
PMID: 39392732
Hi-C experiments allow researchers to study and understand the 3D genome organization and its regulatory function. Unfortunately, sequencing costs and technical constraints severely restrict access to high-quality Hi-C data for...
6.
Walker C, Li X, Chakravarthy M, Lounsbery-Scaife W, Choi Y, Singh R, et al.
Cell
. 2024 Oct;
187(23):6537-6549.e10.
PMID: 39362221
The increase in publicly available human single-cell datasets, encompassing millions of cells from many donors, has significantly enhanced our understanding of complex biological processes. However, the accessibility of these datasets...
7.
Zhao W, Larschan E, Sandstede B, Singh R
bioRxiv
. 2024 Sep;
PMID: 39345416
Inferring gene regulatory networks from gene expression data is an important and challenging problem in the biology community. We propose OTVelo, a methodology that takes time-stamped single-cell gene expression data...
8.
Zhang J, Larschan E, Bigness J, Singh R
Bioinformatics
. 2024 Sep;
40(Suppl 2):ii146-ii154.
PMID: 39230694
Summary: Measurement of single-cell gene expression at different timepoints enables the study of cell development. However, due to the resource constraints and technical challenges associated with the single-cell experiments, researchers...
9.
Suita Y, Bright Jr H, Pu Y, Toruner M, Idehen J, Tapinos N, et al.
bioRxiv
. 2024 Jul;
PMID: 38979226
Cancer cells show remarkable plasticity and can switch lineages in response to the tumor microenvironment. Cellular plasticity drives invasiveness and metastasis and helps cancer cells to evade therapy by developing...
10.
Murtaza G, Butaney B, Wagner J, Singh R
Bioinformatics
. 2024 Jun;
40(Suppl 1):i490-i500.
PMID: 38940151
Summary: Single-cell Hi-C (scHi-C) protocol helps identify cell-type-specific chromatin interactions and sheds light on cell differentiation and disease progression. Despite providing crucial insights, scHi-C data is often underutilized due to...