Machine learning models of plasma proteomic data predict mood in chronic stroke and tie it to aberrant peripheral immune responses von Bidoki, Neda H., Zera, Kristy A., Nassar, Huda, Drag, Lauren L., Mlynash, Michael, Osborn, Elizabeth, Musabbir, Muhith, Kim, Da Eun, Paula Mendez, Maria, Lansberg, Maarten G., Aghaeepour, Nima, Buckwalter, Marion S.

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In‐silico generation of high‐dimensional immune response data in patients using a deep neural network von Fallahzadeh, Ramin, Bidoki, Neda H., Stelzer, Ina A., Becker, Martin, Marić, Ivana, Chang, Alan L., Culos, Anthony, Phongpreecha, Thanaphong, Xenochristou, Maria, De Francesco, Davide, Espinosa, Camilo, Berson, Eloise, Verdonk, Franck, Angst, Martin S., Gaudilliere, Brice, Aghaeepour, Nima

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An LSTM Model for Predicting Cross-Platform Bursts of Social Media Activity von Hajiakhoond Bidoki, Neda, Mantzaris, Alexander V., Sukthankar, Gita

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Large-scale correlation network construction for unraveling the coordination of complex biological systems von Becker, Martin, Nassar, Huda, Espinosa, Camilo, Stelzer, Ina A, Feyaerts, Dorien, Berson, Eloise, Bidoki, Neda H, Chang, Alan L, Saarunya, Geetha, Culos, Anthony, De Francesco, Davide, Fallahzadeh, Ramin, Liu, Qun, Kim, Yeasul, Marić, Ivana, Mataraso, Samson J, Payrovnaziri, Seyedeh Neelufar, Phongpreecha, Thanaphong, Ravindra, Neal G, Stanley, Natalie, Shome, Sayane, Tan, Yuqi, Thuraiappah, Melan, Xenochristou, Maria, Xue, Lei, Shaw, Gary, Stevenson, David, Angst, Martin S, Gaudilliere, Brice, Aghaeepour, Nima

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A data-driven health index for neonatal morbidities von De Francesco, Davide, Blumenfeld, Yair J., Marić, Ivana, Mayo, Jonathan A., Chang, Alan L., Fallahzadeh, Ramin, Phongpreecha, Thanaphong, Butwick, Alex J., Xenochristou, Maria, Phibbs, Ciaran S., Bidoki, Neda H., Becker, Martin, Culos, Anthony, Espinosa, Camilo, Liu, Qun, Sylvester, Karl G., Gaudilliere, Brice, Angst, Martin S., Stevenson, David K., Shaw, Gary M., Aghaeepour, Nima

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Exploiting Weak Ties in Incomplete Network Datasets Using Simplified Graph Convolutional Neural Networks von Bidoki, Neda H., Mantzaris, Alexander V., Sukthankar, Gita

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Proteomics reveals associations between inflammation and chronic depression in a prospective study of post‐stroke cognition von Zera, Kristy A, Bidoki, Neda, Nassar, Huda, Drag, Lauren, Mlynash, Michael, Osborn, Elizabeth, Musabbir, Muhith, Kim, Da Eun, Mendez, Maria, Lansberg, Maarten, Aghaeepour, Nima, Buckwalter, Marion S

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Abstract WMP24: Plasma Proteomics Reveals Potential Biological Mechanisms Of Chronic Post-Stroke Depression von Zera, Kristy A, Bidoki, Neda H, Nassar, Huda, Drag, Lauren, Mlynash, Michael, osborn, elizabeth, Musabbir, Muhith, Kim, Da Eun, Mendez, Maria, Lansberg, Maarten G, Aghaeepour, Nima, Buckwalter, Marion S

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Human influenza virus challenge identifies cellular correlates of protection for oral vaccination von McIlwain, David R., Chen, Han, Rahil, Zainab, Bidoki, Neda Hajiakhoond, Jiang, Sizun, Bjornson, Zach, Kolhatkar, Nikita S., Martinez, C. Josefina, Gaudillière, Brice, Hedou, Julien, Mukherjee, Nilanjan, Schürch, Christian M., Trejo, Angelica, Affrime, Melton, Bock, Bonnie, Kim, Kenneth, Liebowitz, David, Aghaeepour, Nima, Tucker, Sean N., Nolan, Garry P.

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Modeling social coding dynamics with sampled historical data von Bidoki, Neda Hajiakhoond, Schiappa, Madeline, Sukthankar, Gita, Garibay, Ivan

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Data Mining of Assessments to Generate Learner Remediation Teams: Method, Efficacy, and Perceptions in an Undergraduate Engineering Pilot Offering von DeMara, Ronald F., Bacanli, Salih S., Bidoki, Neda, Xu, Jun, Nassiff, Edwin, Donnelly, Julie, Turgut, Damla

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Network Semantic Segmentation with Application to GitHub von Bidoki, Neda Hajiakhoond, Sukthankar, Gita

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A Cross-Repository Model for Predicting Popularity in GitHub von Bidoki, Neda Hajiakhoond, Sukthankar, Gita, Keathley, Heather, Garibay, Ivan

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Network Semantic Segmentation with Application to GitHub von Bidoki, Neda Hajiakhoond, Sukthankar, Gita

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A Cross-Repository Model for Predicting Popularity in GitHub von Bidoki, Neda Hajiakhoond, Sukthankar, Gita, Keathley, Heather, Garibay, Ivan

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The analysis of association between SNCA, HUSEYO and CSMD1 gene variants and Parkinson’s disease in Iranian population von Shahmohammadibeni, Neda, Rahimi-Aliabadi, Simin, Jamshidi, Javad, Emamalizadeh, Babak, Shahmohammadibeni, Hossein Ali, Zare Bidoki, Alireza, Akhavan-Niaki, Haleh, Eftekhari, Hajar, Abdollahi, Shokoufeh, Shekari Khaniani, Mahmoud, Shahmohammadibeni, Mahnaz, Fazeli, Atena, Motallebi, Marzieh, Taghavi, Shaghayegh, Ahmadifard, Azadeh, Shafiei Zarneh, Amir Ehtesham, Andarva, Monavvar, Dadkhah, Tahereh, Khademi, Ehteram, Alehabib, Elham, Rahimi, Mahnoosh, Tafakhori, Abbas, Atakhorrami, Minoo, Darvish, Hossein

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Variation in the miRNA-433 binding site of FGF20 is a risk factor for Parkinson's disease in Iranian population von Haghnejad, Leyla, Emamalizadeh, Babak, Jamshidi, Javad, Bidoki, Alireza Zare, Ghaedi, Hamid, Ahmadi, Ehsan, Abdollahi, Shokoufeh, Shahmohammadibeni, Neda, Taghavi, Shaghayegh, Fazeli, Atena, Motallebi, Marzieh, Zarneh, Amir Ehtesham Shafiei, Mohammadihosseinabad, Saeed, Abbaszadegan, Mohammad Reza, Torkamandi, Shahram, Gavenaroudi, Masoumeh Amini, Pedram, Negar, Shahidi, Gholam-Ali, Tafakhori, Abbas, Darvish, Hossein, Movafagh, Abolfazl

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Lack of Altered BECN1 Gene Expression in Iranian Patients with Acute Myeloid Leukemia von Keyvan, Ladan, Bidoki, Seyed Kazem, Abdollahi, Davood Zare, Mansouri, Neda, Hashemi, Mehrdad, Tabatabaei, SA Mortazavi, Fardmanesh, Hediyeh, Meimandi, Mansour, Ayatollahi, Seyed Majid, Movafagh, Abolfazl

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Lack of Altered BECN1 Gene Expression in Iranian Patients with Acute Myeloid Leukemia von Keyvan, Ladan, Bidoki, Seyed Kazem, Abdollahi, Davood Zare, Mansouri, Neda, Hashemi, Mehrdad, Tabatabaei, SA Mortazavi, Fardmanesh, Hediyeh, Meimandi, Mansour, Ayatollahi, Seyed Majid, Movafagh, Abolfazl

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