Sai Ritesh Thela

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “Deep5hmC: predicting genome-wide 5-hydroxymethylcytosine landscape via a multimodal deep learning model”.

Deep5hmC: predicting genome-wide 5-hydroxymethylcytosine landscape via a multimodal deep learning model

Bioinformatics(2024)10.1093/bioinformatics/btae528

N/A

0DataRank · unranked

7 citations

Sai Ritesh Thela, Fengdi Zhao, Bing Yao, Zhexing Wen, Peng Jin +3 more

Deep5hmC: Predicting genome-wide 5-Hydroxymethylcytosine landscape via a multimodal deep learning model

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.03.04.583444

N/A

0DataRank · unranked

1 citations

Sai Ritesh Thela, Fengdi Zhao, Bing Yao, Zhexing Wen, Peng Jin +3 more

In silico generation and augmentation of regulatory variants from massively parallel reporter assay using conditional variational autoencoder

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.06.25.600715

N/A

0DataRank · unranked

0 citations

Yi Xia, Sai Ritesh Thela, Yunlong Liu, Li Chen, Weijia Jin