Search Results - "Tatsuhiko Tsunoda"

Brain wave classification using long short-term memory network based OPTICAL predictor by Kumar, Shiu, Sharma, Alok, Tsunoda, Tatsuhiko

“…Brain-computer interface (BCI) systems having the ability to classify brain waves with greater accuracy are highly desirable. To this end, a number of…”
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An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information by Kumar, Shiu, Sharma, Alok, Tsunoda, Tatsuhiko

“…Common spatial pattern (CSP) has been an effective technique for feature extraction in electroencephalography (EEG) based brain computer interfaces (BCIs)…”
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DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture by Sharma, Alok, Vans, Edwin, Shigemizu, Daichi, Boroevich, Keith A., Tsunoda, Tatsuhiko

“…It is critical, but difficult, to catch the small variation in genomic or other kinds of data that differentiates phenotypes or categories. A plethora of data…”
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Forecasting the spread of COVID-19 using LSTM network by Kumar, Shiu, Sharma, Ronesh, Tsunoda, Tatsuhiko, Kumarevel, Thirumananseri, Sharma, Alok

“…The novel coronavirus (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2, and within a few months, it has become a global pandemic. This…”
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OPAL: prediction of MoRF regions in intrinsically disordered protein sequences by Sharma, Ronesh, Raicar, Gaurav, Tsunoda, Tatsuhiko, Patil, Ashwini, Sharma, Alok

“…Abstract Motivation Intrinsically disordered proteins lack stable 3-dimensional structure and play a crucial role in performing various biological functions…”
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PepCNN deep learning tool for predicting peptide binding residues in proteins using sequence, structural, and language model features by Chandra, Abel, Sharma, Alok, Dehzangi, Iman, Tsunoda, Tatsuhiko, Sattar, Abdul

“…Protein–peptide interactions play a crucial role in various cellular processes and are implicated in abnormal cellular behaviors leading to diseases such as…”
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OPAL+: Length‐Specific MoRF Prediction in Intrinsically Disordered Protein Sequences by Sharma, Ronesh, Sharma, Alok, Raicar, Gaurav, Tsunoda, Tatsuhiko, Patil, Ashwini

“…Intrinsically disordered proteins (IDPs) contain long unstructured regions, which play an important role in their function. These intrinsically disordered…”
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DeepFeature: feature selection in nonimage data using convolutional neural network by Sharma, Alok, Lysenko, Artem, Boroevich, Keith A, Vans, Edwin, Tsunoda, Tatsuhiko

“…Artificial intelligence methods offer exciting new capabilities for the discovery of biological mechanisms from raw data because they are able to detect vastly…”
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SPECTRA: a tool for enhanced brain wave signal recognition by Kumar, Shiu, Tsunoda, Tatsuhiko, Sharma, Alok

“…Abstract Background Brain wave signal recognition has gained increased attention in neuro-rehabilitation applications. This has driven the development of…”
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Effects of clovamide and its related compounds on the aggregations of amyloid polypeptides by Nomoto, Daigo, Tsunoda, Tatsuhiko, Shigemori, Hideyuki

“…Alzheimer's disease (AD) and type 2 diabetes (T2D) are common diseases in the elderly, and the increasing number of patients with these diseases has become a…”
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MoRFPred-plus: Computational Identification of MoRFs in Protein Sequences using Physicochemical Properties and HMM profiles by Sharma, Ronesh, Bayarjargal, Maitsetseg, Tsunoda, Tatsuhiko, Patil, Ashwini, Sharma, Alok

“…•MoRFpred-plus: a new sequence based MoRF predictor to identify MoRF residues in disordered protein sequences.•Hidden Markov model (HMM) profiles of amino…”
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Profiling the inhibitory receptors LAG-3, TIM-3, and TIGIT in renal cell carcinoma reveals malignancy by Takamatsu, Kimiharu, Tanaka, Nobuyuki, Hakozaki, Kyohei, Takahashi, Ryohei, Teranishi, Yu, Murakami, Tetsushi, Kufukihara, Ryohei, Niwa, Naoya, Mikami, Shuji, Shinojima, Toshiaki, Sasaki, Takashi, Sato, Yusuke, Kume, Haruki, Ogawa, Seishi, Kakimi, Kazuhiro, Kamatani, Takashi, Miya, Fuyuki, Tsunoda, Tatsuhiko, Aimono, Eriko, Nishihara, Hiroshi, Sawada, Kazuaki, Imamura, Takeshi, Mizuno, Ryuichi, Oya, Mototsugu

“…A cutting edge therapy for future immuno-oncology is targeting a new series of inhibitory receptors (IRs): LAG-3, TIM-3, and TIGIT. Both immunogenomic analyses…”
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CNN-Pred: Prediction of single-stranded and double-stranded DNA-binding protein using convolutional neural networks by Manavi, Farnoush, Sharma, Alok, Sharma, Ronesh, Tsunoda, Tatsuhiko, Shatabda, Swakkhar, Dehzangi, Iman

“…•DNA-binding proteins play a vital role in different biological activities.•This study proposes a new method called CNN-Pred to accurately predict DSB and…”
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Divisive hierarchical maximum likelihood clustering by Sharma, Alok, López, Yosvany, Tsunoda, Tatsuhiko

“…Biological data comprises various topologies or a mixture of forms, which makes its analysis extremely complicated. With this data increasing in a daily basis,…”
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DeepInsight-3D architecture for anti-cancer drug response prediction with deep-learning on multi-omics by Sharma, Alok, Lysenko, Artem, Boroevich, Keith A., Tsunoda, Tatsuhiko

“…Modern oncology offers a wide range of treatments and therefore choosing the best option for particular patient is very important for optimal outcome…”
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Discovering MoRFs by trisecting intrinsically disordered protein sequence into terminals and middle regions by Sharma, Ronesh, Sharma, Alok, Patil, Ashwini, Tsunoda, Tatsuhiko

“…Molecular Recognition Features (MoRFs) are short protein regions present in intrinsically disordered protein (IDPs) sequences. MoRFs interact with structured…”
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Integrated molecular analysis of clear-cell renal cell carcinoma by Sato, Yusuke, Yoshizato, Tetsuichi, Shiraishi, Yuichi, Maekawa, Shigekatsu, Okuno, Yusuke, Kamura, Takumi, Shimamura, Teppei, Sato-Otsubo, Aiko, Nagae, Genta, Suzuki, Hiromichi, Nagata, Yasunobu, Yoshida, Kenichi, Kon, Ayana, Suzuki, Yutaka, Chiba, Kenichi, Tanaka, Hiroko, Niida, Atsushi, Fujimoto, Akihiro, Tsunoda, Tatsuhiko, Morikawa, Teppei, Maeda, Daichi, Kume, Haruki, Sugano, Sumio, Fukayama, Masashi, Aburatani, Hiroyuki, Sanada, Masashi, Miyano, Satoru, Homma, Yukio, Ogawa, Seishi

“…Seishi Ogawa and colleagues report an integrated genomics analysis of more than 100 clear-cell renal carcinoma samples. They analyze whole genomes or exomes,…”
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Association of a novel long non‐coding RNA in 8q24 with prostate cancer susceptibility by Chung, Suyoun, Nakagawa, Hidewaki, Uemura, Motohide, Piao, Lianhua, Ashikawa, Kyota, Hosono, Naoya, Takata, Ryo, Akamatsu, Shusuke, Kawaguchi, Takahisa, Morizono, Takashi, Tsunoda, Tatsuhiko, Daigo, Yataro, Matsuda, Koichi, Kamatani, Naoyuki, Nakamura, Yusuke, Kubo, Michiaki

“…Recent genome‐wide association studies reported strong and reproducible associations of multiple genetic variants in a large “gene‐desert” region of chromosome…”
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Improving succinylation prediction accuracy by incorporating the secondary structure via helix, strand and coil, and evolutionary information from profile bigrams by Dehzangi, Abdollah, López, Yosvany, Lal, Sunil Pranit, Taherzadeh, Ghazaleh, Sattar, Abdul, Tsunoda, Tatsuhiko, Sharma, Alok

“…Post-translational modification refers to the biological mechanism involved in the enzymatic modification of proteins after being translated in the ribosome…”
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SucStruct: Prediction of succinylated lysine residues by using structural properties of amino acids by López, Yosvany, Dehzangi, Abdollah, Lal, Sunil Pranit, Taherzadeh, Ghazaleh, Michaelson, Jacob, Sattar, Abdul, Tsunoda, Tatsuhiko, Sharma, Alok

“…Post-Translational Modification (PTM) is a biological reaction which contributes to diversify the proteome. Despite many modifications with important roles in…”
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