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

Spatial information matters: are traditional imputation methods effective for spatial transcriptomics data?

空间信息很重要:传统的插补方法对空间转录组学数据有效吗?

Hafiz, Fahim; Azim, Riasat; Shatabda, Swakkhar

The good, the bad, and the ugly: opportunities, challenges, and pitfalls in spatial proteomics modeling

空间蛋白质组学建模的机遇、挑战和陷阱:好的、坏的和丑陋的

Haque, Shahil Yasar; Shatabda, Swakkhar; Islam, Salekul; Dipu, Shoaib Ahmed; Azim, Riasat

Interfacial negative magnetization in Ni encapsulated layer-tunable nested MoS(2) nanostructure with robust memory applications

镍封装层可调谐嵌套式 MoS₂ 纳米结构中的界面负磁化及其在存储应用中的稳健性能

Bhattacharya, Shatabda; Ohto, Tatsuhiko; Tada, Hirokazu; Saha, Shyamal K

Virtual screening of flavonoids as potential RIPK1 inhibitors for neurodegeneration therapy

利用虚拟筛选方法筛选黄酮类化合物作为潜在的RIPK1抑制剂用于神经退行性疾病治疗

Bepari, Asim Kumar; Shatabda, Swakkhar; Reza, Hasan Mahmud

A Bengali news and public opinion dataset from YouTube

来自 YouTube 的孟加拉语新闻和公众舆论数据集

Chowdhury, Lomat Haider; Islam, Salekul; Shatabda, Swakkhar

FracAtlas: A Dataset for Fracture Classification, Localization and Segmentation of Musculoskeletal Radiographs

FracAtlas:用于肌肉骨骼X光片骨折分类、定位和分割的数据集

Abedeen, Iftekharul; Rahman, Md Ashiqur; Prottyasha, Fatema Zohra; Ahmed, Tasnim; Chowdhury, Tareque Mohmud; Shatabda, Swakkhar

A convolutional neural network based tool for predicting protein AMPylation sites from binary profile representation

一种基于卷积神经网络的工具,用于从二进制谱表示中预测蛋白质AMP化位点。

Azim, Sayed Mehedi; Sharma, Alok; Noshadi, Iman; Shatabda, Swakkhar; Dehzangi, Iman

Predicting Academic Performance: Analysis of Students' Mental Health Condition from Social Media Interactions

预测学业成绩:基于社交媒体互动分析学生心理健康状况

Mukta, Md Saddam Hossain; Islam, Salekul; Shatabda, Swakkhar; Ali, Mohammed Eunus; Zaman, Akib

BanglaSER: A speech emotion recognition dataset for the Bangla language

BanglaSER:孟加拉语语音情感识别数据集

Das, Rakesh Kumar; Islam, Nahidul; Ahmed, Md Rayhan; Islam, Salekul; Shatabda, Swakkhar; Islam, A K M Muzahidul

ACP-MHCNN: an accurate multi-headed deep-convolutional neural network to predict anticancer peptides

ACP-MHCNN:一种用于预测抗癌肽的精确多头深度卷积神经网络

Ahmed, Sajid; Muhammod, Rafsanjani; Khan, Zahid Hossain; Adilina, Sheikh; Sharma, Alok; Shatabda, Swakkhar; Dehzangi, Abdollah