Search Results for author: Hamidreza Chitsaz

Found 7 papers, 2 papers with code

BPPart and BPMax: RNA-RNA Interaction Partition Function and Structure Prediction for the Base Pair Counting Model

1 code implementation2 Apr 2019 Ali Ebrahimpour-Boroojeny, Sanjay Rajopadhye, Hamidreza Chitsaz

Here, simple weighted base pair counting is considered to obtain BPPart for Base-pair Partition function and BPMax for Base-pair Maximization, which use 9 and 2 tables respectively.

DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer Transcriptome

1 code implementation7 Aug 2018 Behrooz Azarkhalili, Ali Saberi, Hamidreza Chitsaz, Ali Sharifi-Zarchi

We employed this architecture on mRNA transcription profiles of 10787 clinical samples from 34 classes (one healthy and 33 different types of cancer) from 27 tissues.

Multi-Task Learning

Cell Identity Codes: Understanding Cell Identity from Gene Expression Profiles using Deep Neural Networks

no code implementations13 Jun 2018 Farzad Abdolhosseini, Behrooz Azarkhalili, Abbas Maazallahi, Aryan Kamal, Seyed Abolfazl Motahari, Ali Sharifi-Zarchi, Hamidreza Chitsaz

Although we use an unsupervised approach to train the autoencoder, we show different values of the CIC are connected to different biological aspects of the cell, such as different pathways or biological processes.

Scalable Nonlinear AUC Maximization Methods

no code implementations2 Oct 2017 Majdi Khalid, Indrakshi Ray, Hamidreza Chitsaz

The kernelized AUC maximization machines have established a superior generalization ability compared to linear AUC machines because of their capability in modeling the complex nonlinear structure underlying most real-world data.

General Classification

Confidence-Weighted Bipartite Ranking

no code implementations4 Jul 2016 Majdi Khalid, Indrakshi Ray, Hamidreza Chitsaz

The experimental results validate the reliability of the proposed algorithms.

Exact Learning of RNA Energy Parameters From Structure

no code implementations15 Oct 2013 Hamidreza Chitsaz, Mohammad Aminisharifabad

We consider the problem of exact learning of parameters of a linear RNA energy model from secondary structure data.

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