日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Literature mining discerns latent disease-gene relationships

文献挖掘揭示潜在的疾病基因关系

Rai, Priyadarshini; Jain, Atishay; Kumar, Shivani; Sharma, Divya; Jha, Neha; Chawla, Smriti; Raj, Abhijit; Gupta, Apoorva; Poonia, Sarita; Majumdar, Angshul; Chakraborty, Tanmoy; Ahuja, Gaurav; Sengupta, Debarka

Marker-free characterization of full-length transcriptomes of single live circulating tumor cells

无需标记即可对单个活循环肿瘤细胞的全长转录组进行表征

Sarita Poonia ,Anurag Goel ,Smriti Chawla ,Namrata Bhattacharya ,Priyadarshini Rai ,Yi Fang Lee ,Yoon Sim Yap ,Jay West ,Ali Asgar Bhagat ,Juhi Tayal ,Anurag Mehta ,Gaurav Ahuja ,Angshul Majumdar ,Naveen Ramalingam ,Debarka Sengupta

Gene expression based inference of cancer drug sensitivity

基于基因表达的癌症药物敏感性推断

Smriti Chawla, Anja Rockstroh, Melanie Lehman, Ellca Ratther, Atishay Jain, Anuneet Anand, Apoorva Gupta, Namrata Bhattacharya, Sarita Poonia, Priyadarshini Rai, Nirjhar Das, Angshul Majumdar, Jayadeva, Gaurav Ahuja, Brett G Hollier, Colleen C Nelson, Debarka Sengupta

FITs: forest of imputation trees for recovering true signals in single-cell open chromatin profiles

FITs:用于恢复单细胞开放染色质谱中真实信号的插补树森林

Sharma, Rachesh; Pandey, Neetesh; Mongia, Aanchal; Mishra, Shreya; Majumdar, Angshul; Kumar, Vibhor

Drug-target interaction prediction using Multi Graph Regularized Nuclear Norm Minimization

基于多图正则化核范数最小化的药物-靶点相互作用预测

Mongia, Aanchal; Majumdar, Angshul

McImpute: Matrix Completion Based Imputation for Single Cell RNA-seq Data

McImpute:基于矩阵补全的单细胞RNA测序数据插补方法

Mongia, Aanchal; Sengupta, Debarka; Majumdar, Angshul

AutoImpute: Autoencoder based imputation of single-cell RNA-seq data

AutoImpute:基于自编码器的单细胞RNA测序数据插补

Talwar, Divyanshu; Mongia, Aanchal; Sengupta, Debarka; Majumdar, Angshul