activity
20182022
most citedPLIT: An alignment-free computational tool for identification of long non-coding RNAs in plant transcriptomic datasets

37 citations · 61 across the 3 of their papers we have counts for

collaborators

7 papers

cs.CY2022

Feedback and Engagement on an Introductory Programming Module

Beate Grawemeyer, John Halloran, Matthew England +1

We ran a study on engagement and achievement for a first year undergraduate programming module which used an online learning environment containing tasks which generate automated f…

cs.CY201921 cited

Computing with CodeRunner at Coventry University: Automated summative assessment of Python and C++ code

David Croft, Matthew England

CodeRunner is a free open-source Moodle plugin for automatically marking student code. We describe our experience using CodeRunner for summative assessment in our first year underg…

cs.CY20193 cited

First Year Computer Science Projects at Coventry University: Activity-led integrative team projects with continuous assessment

Simon Billings, Matthew England

We describe the group projects undertaken by first year undergraduate Computer Science students at Coventry University. These are integrative course projects: designed to bring tog…

q-bio.GN201937 cited

PLIT: An alignment-free computational tool for identification of long non-coding RNAs in plant transcriptomic datasets

S. Deshpande, J. Shuttleworth, J. Yang +2

Long non-coding RNAs (lncRNAs) are a class of non-coding RNAs which play a significant role in several biological processes. RNA-seq based transcriptome sequencing has been extensi…

cs.CY2018

Computing with Codio at Coventry University: Online virtual Linux boxes and automated formative feedback

David Croft, Matthew England

We describe our experience using Codio at Coventry University in our undergraduate programming curriculum. Codio provides students with online virtual Linux boxes, and allows staff…

cs.CL2018

A Combined CNN and LSTM Model for Arabic Sentiment Analysis

Abdulaziz M. Alayba, Vasile Palade, Matthew England +1

Deep neural networks have shown good data modelling capabilities when dealing with challenging and large datasets from a wide range of application areas. Convolutional Neural Netwo…